benefits of study research proposal

Organizing Your Social Sciences Research Assignments

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• Types of Structured Group Activities
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• Multiple Book Review Essay
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• About Informed Consent
• Writing Field Notes
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• Writing a Reflective Paper
• Writing a Research Proposal
• Generative AI and Writing
• Acknowledgments

The goal of a research proposal is twofold: to present and justify the need to study a research problem and to present the practical ways in which the proposed study should be conducted. The design elements and procedures for conducting research are governed by standards of the predominant discipline in which the problem resides, therefore, the guidelines for research proposals are more exacting and less formal than a general project proposal. Research proposals contain extensive literature reviews. They must provide persuasive evidence that a need exists for the proposed study. In addition to providing a rationale, a proposal describes detailed methodology for conducting the research consistent with requirements of the professional or academic field and a statement on anticipated outcomes and benefits derived from the study's completion.

Krathwohl, David R. How to Prepare a Dissertation Proposal: Suggestions for Students in Education and the Social and Behavioral Sciences . Syracuse, NY: Syracuse University Press, 2005.

How to Approach Writing a Research Proposal

Your professor may assign the task of writing a research proposal for the following reasons:

• Develop your skills in thinking about and designing a comprehensive research study;
• Learn how to conduct a comprehensive review of the literature to determine that the research problem has not been adequately addressed or has been answered ineffectively and, in so doing, become better at locating pertinent scholarship related to your topic;
• Improve your general research and writing skills;
• Practice identifying the logical steps that must be taken to accomplish one's research goals;
• Critically review, examine, and consider the use of different methods for gathering and analyzing data related to the research problem; and,
• Nurture a sense of inquisitiveness within yourself and to help see yourself as an active participant in the process of conducting scholarly research.

A proposal should contain all the key elements involved in designing a completed research study, with sufficient information that allows readers to assess the validity and usefulness of your proposed study. The only elements missing from a research proposal are the findings of the study and your analysis of those findings. Finally, an effective proposal is judged on the quality of your writing and, therefore, it is important that your proposal is coherent, clear, and compelling.

Regardless of the research problem you are investigating and the methodology you choose, all research proposals must address the following questions:

• What do you plan to accomplish? Be clear and succinct in defining the research problem and what it is you are proposing to investigate.
• Why do you want to do the research? In addition to detailing your research design, you also must conduct a thorough review of the literature and provide convincing evidence that it is a topic worthy of in-depth study. A successful research proposal must answer the "So What?" question.
• How are you going to conduct the research? Be sure that what you propose is doable. If you're having difficulty formulating a research problem to propose investigating, go here for strategies in developing a problem to study.

Common Mistakes to Avoid

• Failure to be concise . A research proposal must be focused and not be "all over the map" or diverge into unrelated tangents without a clear sense of purpose.
• Failure to cite landmark works in your literature review . Proposals should be grounded in foundational research that lays a foundation for understanding the development and scope of the the topic and its relevance.
• Failure to delimit the contextual scope of your research [e.g., time, place, people, etc.]. As with any research paper, your proposed study must inform the reader how and in what ways the study will frame the problem.
• Failure to develop a coherent and persuasive argument for the proposed research . This is critical. In many workplace settings, the research proposal is a formal document intended to argue for why a study should be funded.
• Sloppy or imprecise writing, or poor grammar . Although a research proposal does not represent a completed research study, there is still an expectation that it is well-written and follows the style and rules of good academic writing.
• Too much detail on minor issues, but not enough detail on major issues . Your proposal should focus on only a few key research questions in order to support the argument that the research needs to be conducted. Minor issues, even if valid, can be mentioned but they should not dominate the overall narrative.

Procter, Margaret. The Academic Proposal.  The Lab Report. University College Writing Centre. University of Toronto; Sanford, Keith. Information for Students: Writing a Research Proposal. Baylor University; Wong, Paul T. P. How to Write a Research Proposal. International Network on Personal Meaning. Trinity Western University; Writing Academic Proposals: Conferences, Articles, and Books. The Writing Lab and The OWL. Purdue University; Writing a Research Proposal. University Library. University of Illinois at Urbana-Champaign.

Structure and Writing Style

Beginning the Proposal Process

As with writing most college-level academic papers, research proposals are generally organized the same way throughout most social science disciplines. The text of proposals generally vary in length between ten and thirty-five pages, followed by the list of references. However, before you begin, read the assignment carefully and, if anything seems unclear, ask your professor whether there are any specific requirements for organizing and writing the proposal.

A good place to begin is to ask yourself a series of questions:

• What do I want to study?
• Why is the topic important?
• How is it significant within the subject areas covered in my class?
• What problems will it help solve?
• How does it build upon [and hopefully go beyond] research already conducted on the topic?
• What exactly should I plan to do, and can I get it done in the time available?

In general, a compelling research proposal should document your knowledge of the topic and demonstrate your enthusiasm for conducting the study. Approach it with the intention of leaving your readers feeling like, "Wow, that's an exciting idea and I can’t wait to see how it turns out!"

Most proposals should include the following sections:

I.  Introduction

In the real world of higher education, a research proposal is most often written by scholars seeking grant funding for a research project or it's the first step in getting approval to write a doctoral dissertation. Even if this is just a course assignment, treat your introduction as the initial pitch of an idea based on a thorough examination of the significance of a research problem. After reading the introduction, your readers should not only have an understanding of what you want to do, but they should also be able to gain a sense of your passion for the topic and to be excited about the study's possible outcomes. Note that most proposals do not include an abstract [summary] before the introduction.

Think about your introduction as a narrative written in two to four paragraphs that succinctly answers the following four questions :

• What is the central research problem?
• What is the topic of study related to that research problem?
• What methods should be used to analyze the research problem?
• Answer the "So What?" question by explaining why this is important research, what is its significance, and why should someone reading the proposal care about the outcomes of the proposed study?

II.  Background and Significance

This is where you explain the scope and context of your proposal and describe in detail why it's important. It can be melded into your introduction or you can create a separate section to help with the organization and narrative flow of your proposal. Approach writing this section with the thought that you can’t assume your readers will know as much about the research problem as you do. Note that this section is not an essay going over everything you have learned about the topic; instead, you must choose what is most relevant in explaining the aims of your research.

To that end, while there are no prescribed rules for establishing the significance of your proposed study, you should attempt to address some or all of the following:

• State the research problem and give a more detailed explanation about the purpose of the study than what you stated in the introduction. This is particularly important if the problem is complex or multifaceted .
• Present the rationale of your proposed study and clearly indicate why it is worth doing; be sure to answer the "So What? question [i.e., why should anyone care?].
• Describe the major issues or problems examined by your research. This can be in the form of questions to be addressed. Be sure to note how your proposed study builds on previous assumptions about the research problem.
• Explain the methods you plan to use for conducting your research. Clearly identify the key sources you intend to use and explain how they will contribute to your analysis of the topic.
• Describe the boundaries of your proposed research in order to provide a clear focus. Where appropriate, state not only what you plan to study, but what aspects of the research problem will be excluded from the study.
• If necessary, provide definitions of key concepts, theories, or terms.

III.  Literature Review

Connected to the background and significance of your study is a section of your proposal devoted to a more deliberate review and synthesis of prior studies related to the research problem under investigation . The purpose here is to place your project within the larger whole of what is currently being explored, while at the same time, demonstrating to your readers that your work is original and innovative. Think about what questions other researchers have asked, what methodological approaches they have used, and what is your understanding of their findings and, when stated, their recommendations. Also pay attention to any suggestions for further research.

Since a literature review is information dense, it is crucial that this section is intelligently structured to enable a reader to grasp the key arguments underpinning your proposed study in relation to the arguments put forth by other researchers. A good strategy is to break the literature into "conceptual categories" [themes] rather than systematically or chronologically describing groups of materials one at a time. Note that conceptual categories generally reveal themselves after you have read most of the pertinent literature on your topic so adding new categories is an on-going process of discovery as you review more studies. How do you know you've covered the key conceptual categories underlying the research literature? Generally, you can have confidence that all of the significant conceptual categories have been identified if you start to see repetition in the conclusions or recommendations that are being made.

NOTE: Do not shy away from challenging the conclusions made in prior research as a basis for supporting the need for your proposal. Assess what you believe is missing and state how previous research has failed to adequately examine the issue that your study addresses. Highlighting the problematic conclusions strengthens your proposal. For more information on writing literature reviews, GO HERE .

To help frame your proposal's review of prior research, consider the "five C’s" of writing a literature review:

• Cite , so as to keep the primary focus on the literature pertinent to your research problem.
• Compare the various arguments, theories, methodologies, and findings expressed in the literature: what do the authors agree on? Who applies similar approaches to analyzing the research problem?
• Contrast the various arguments, themes, methodologies, approaches, and controversies expressed in the literature: describe what are the major areas of disagreement, controversy, or debate among scholars?
• Critique the literature: Which arguments are more persuasive, and why? Which approaches, findings, and methodologies seem most reliable, valid, or appropriate, and why? Pay attention to the verbs you use to describe what an author says/does [e.g., asserts, demonstrates, argues, etc.].
• Connect the literature to your own area of research and investigation: how does your own work draw upon, depart from, synthesize, or add a new perspective to what has been said in the literature?

IV.  Research Design and Methods

This section must be well-written and logically organized because you are not actually doing the research, yet, your reader must have confidence that you have a plan worth pursuing . The reader will never have a study outcome from which to evaluate whether your methodological choices were the correct ones. Thus, the objective here is to convince the reader that your overall research design and proposed methods of analysis will correctly address the problem and that the methods will provide the means to effectively interpret the potential results. Your design and methods should be unmistakably tied to the specific aims of your study.

Describe the overall research design by building upon and drawing examples from your review of the literature. Consider not only methods that other researchers have used, but methods of data gathering that have not been used but perhaps could be. Be specific about the methodological approaches you plan to undertake to obtain information, the techniques you would use to analyze the data, and the tests of external validity to which you commit yourself [i.e., the trustworthiness by which you can generalize from your study to other people, places, events, and/or periods of time].

When describing the methods you will use, be sure to cover the following:

• Specify the research process you will undertake and the way you will interpret the results obtained in relation to the research problem. Don't just describe what you intend to achieve from applying the methods you choose, but state how you will spend your time while applying these methods [e.g., coding text from interviews to find statements about the need to change school curriculum; running a regression to determine if there is a relationship between campaign advertising on social media sites and election outcomes in Europe ].
• Keep in mind that the methodology is not just a list of tasks; it is a deliberate argument as to why techniques for gathering information add up to the best way to investigate the research problem. This is an important point because the mere listing of tasks to be performed does not demonstrate that, collectively, they effectively address the research problem. Be sure you clearly explain this.
• Anticipate and acknowledge any potential barriers and pitfalls in carrying out your research design and explain how you plan to address them. No method applied to research in the social and behavioral sciences is perfect, so you need to describe where you believe challenges may exist in obtaining data or accessing information. It's always better to acknowledge this than to have it brought up by your professor!

V.  Preliminary Suppositions and Implications

Just because you don't have to actually conduct the study and analyze the results, doesn't mean you can skip talking about the analytical process and potential implications . The purpose of this section is to argue how and in what ways you believe your research will refine, revise, or extend existing knowledge in the subject area under investigation. Depending on the aims and objectives of your study, describe how the anticipated results will impact future scholarly research, theory, practice, forms of interventions, or policy making. Note that such discussions may have either substantive [a potential new policy], theoretical [a potential new understanding], or methodological [a potential new way of analyzing] significance.   When thinking about the potential implications of your study, ask the following questions:

• What might the results mean in regards to challenging the theoretical framework and underlying assumptions that support the study?
• What suggestions for subsequent research could arise from the potential outcomes of the study?
• What will the results mean to practitioners in the natural settings of their workplace, organization, or community?
• Will the results influence programs, methods, and/or forms of intervention?
• How might the results contribute to the solution of social, economic, or other types of problems?
• Will the results influence policy decisions?
• In what way do individuals or groups benefit should your study be pursued?
• What will be improved or changed as a result of the proposed research?
• How will the results of the study be implemented and what innovations or transformative insights could emerge from the process of implementation?

NOTE:   This section should not delve into idle speculation, opinion, or be formulated on the basis of unclear evidence . The purpose is to reflect upon gaps or understudied areas of the current literature and describe how your proposed research contributes to a new understanding of the research problem should the study be implemented as designed.

ANOTHER NOTE : This section is also where you describe any potential limitations to your proposed study. While it is impossible to highlight all potential limitations because the study has yet to be conducted, you still must tell the reader where and in what form impediments may arise and how you plan to address them.

VI.  Conclusion

The conclusion reiterates the importance or significance of your proposal and provides a brief summary of the entire study . This section should be only one or two paragraphs long, emphasizing why the research problem is worth investigating, why your research study is unique, and how it should advance existing knowledge.

Someone reading this section should come away with an understanding of:

• Why the study should be done;
• The specific purpose of the study and the research questions it attempts to answer;
• The decision for why the research design and methods used where chosen over other options;
• The potential implications emerging from your proposed study of the research problem; and
• A sense of how your study fits within the broader scholarship about the research problem.

VII.  Citations

As with any scholarly research paper, you must cite the sources you used . In a standard research proposal, this section can take two forms, so consult with your professor about which one is preferred.

• References -- a list of only the sources you actually used in creating your proposal.
• Bibliography -- a list of everything you used in creating your proposal, along with additional citations to any key sources relevant to understanding the research problem.

In either case, this section should testify to the fact that you did enough preparatory work to ensure the project will complement and not just duplicate the efforts of other researchers. It demonstrates to the reader that you have a thorough understanding of prior research on the topic.

Most proposal formats have you start a new page and use the heading "References" or "Bibliography" centered at the top of the page. Cited works should always use a standard format that follows the writing style advised by the discipline of your course [e.g., education=APA; history=Chicago] or that is preferred by your professor. This section normally does not count towards the total page length of your research proposal.

Develop a Research Proposal: Writing the Proposal. Office of Library Information Services. Baltimore County Public Schools; Heath, M. Teresa Pereira and Caroline Tynan. “Crafting a Research Proposal.” The Marketing Review 10 (Summer 2010): 147-168; Jones, Mark. “Writing a Research Proposal.” In MasterClass in Geography Education: Transforming Teaching and Learning . Graham Butt, editor. (New York: Bloomsbury Academic, 2015), pp. 113-127; Juni, Muhamad Hanafiah. “Writing a Research Proposal.” International Journal of Public Health and Clinical Sciences 1 (September/October 2014): 229-240; Krathwohl, David R. How to Prepare a Dissertation Proposal: Suggestions for Students in Education and the Social and Behavioral Sciences . Syracuse, NY: Syracuse University Press, 2005; Procter, Margaret. The Academic Proposal. The Lab Report. University College Writing Centre. University of Toronto; Punch, Keith and Wayne McGowan. "Developing and Writing a Research Proposal." In From Postgraduate to Social Scientist: A Guide to Key Skills . Nigel Gilbert, ed. (Thousand Oaks, CA: Sage, 2006), 59-81; Wong, Paul T. P. How to Write a Research Proposal. International Network on Personal Meaning. Trinity Western University; Writing Academic Proposals: Conferences , Articles, and Books. The Writing Lab and The OWL. Purdue University; Writing a Research Proposal. University Library. University of Illinois at Urbana-Champaign.

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• How to Write a Research Proposal | Examples & Templates

How to Write a Research Proposal | Examples & Templates

Published on October 12, 2022 by Shona McCombes and Tegan George. Revised on November 21, 2023.

A research proposal describes what you will investigate, why it’s important, and how you will conduct your research.

The format of a research proposal varies between fields, but most proposals will contain at least these elements:

Introduction

Literature review.

• Research design

Reference list

While the sections may vary, the overall objective is always the same. A research proposal serves as a blueprint and guide for your research plan, helping you get organized and feel confident in the path forward you choose to take.

Table of contents

Research proposal purpose, research proposal examples, research design and methods, contribution to knowledge, research schedule, other interesting articles, frequently asked questions about research proposals.

Academics often have to write research proposals to get funding for their projects. As a student, you might have to write a research proposal as part of a grad school application , or prior to starting your thesis or dissertation .

In addition to helping you figure out what your research can look like, a proposal can also serve to demonstrate why your project is worth pursuing to a funder, educational institution, or supervisor.

Research proposal length

The length of a research proposal can vary quite a bit. A bachelor’s or master’s thesis proposal can be just a few pages, while proposals for PhD dissertations or research funding are usually much longer and more detailed. Your supervisor can help you determine the best length for your work.

One trick to get started is to think of your proposal’s structure as a shorter version of your thesis or dissertation , only without the results , conclusion and discussion sections.

Download our research proposal template

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Writing a research proposal can be quite challenging, but a good starting point could be to look at some examples. We’ve included a few for you below.

• Example research proposal #1: “A Conceptual Framework for Scheduling Constraint Management”
• Example research proposal #2: “Medical Students as Mediators of Change in Tobacco Use”

Like your dissertation or thesis, the proposal will usually have a title page that includes:

• The proposed title of your project
• Your supervisor’s name
• Your institution and department

The first part of your proposal is the initial pitch for your project. Make sure it succinctly explains what you want to do and why.

Your introduction should:

• Introduce your topic
• Give necessary background and context
• Outline your  problem statement  and research questions

To guide your introduction , include information about:

• Who could have an interest in the topic (e.g., scientists, policymakers)
• How much is already known about the topic
• What is missing from this current knowledge
• What new insights your research will contribute
• Why you believe this research is worth doing

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As you get started, it’s important to demonstrate that you’re familiar with the most important research on your topic. A strong literature review  shows your reader that your project has a solid foundation in existing knowledge or theory. It also shows that you’re not simply repeating what other people have already done or said, but rather using existing research as a jumping-off point for your own.

In this section, share exactly how your project will contribute to ongoing conversations in the field by:

• Comparing and contrasting the main theories, methods, and debates
• Examining the strengths and weaknesses of different approaches
• Explaining how will you build on, challenge, or synthesize prior scholarship

Following the literature review, restate your main  objectives . This brings the focus back to your own project. Next, your research design or methodology section will describe your overall approach, and the practical steps you will take to answer your research questions.

To finish your proposal on a strong note, explore the potential implications of your research for your field. Emphasize again what you aim to contribute and why it matters.

For example, your results might have implications for:

• Improving best practices
• Informing policymaking decisions
• Strengthening a theory or model
• Challenging popular or scientific beliefs
• Creating a basis for future research

Last but not least, your research proposal must include correct citations for every source you have used, compiled in a reference list . To create citations quickly and easily, you can use our free APA citation generator .

Some institutions or funders require a detailed timeline of the project, asking you to forecast what you will do at each stage and how long it may take. While not always required, be sure to check the requirements of your project.

Here’s an example schedule to help you get started. You can also download a template at the button below.

Download our research schedule template

If you are applying for research funding, chances are you will have to include a detailed budget. This shows your estimates of how much each part of your project will cost.

Make sure to check what type of costs the funding body will agree to cover. For each item, include:

• Cost : exactly how much money do you need?
• Justification : why is this cost necessary to complete the research?
• Source : how did you calculate the amount?

To determine your budget, think about:

• Travel costs : do you need to go somewhere to collect your data? How will you get there, and how much time will you need? What will you do there (e.g., interviews, archival research)?
• Materials : do you need access to any tools or technologies?
• Help : do you need to hire any research assistants for the project? What will they do, and how much will you pay them?

If you want to know more about the research process , methodology , research bias , or statistics , make sure to check out some of our other articles with explanations and examples.

Methodology

• Sampling methods
• Simple random sampling
• Stratified sampling
• Cluster sampling
• Likert scales
• Reproducibility

 Statistics

• Null hypothesis
• Statistical power
• Probability distribution
• Effect size
• Poisson distribution

Research bias

• Optimism bias
• Cognitive bias
• Implicit bias
• Hawthorne effect
• Anchoring bias
• Explicit bias

Once you’ve decided on your research objectives , you need to explain them in your paper, at the end of your problem statement .

Keep your research objectives clear and concise, and use appropriate verbs to accurately convey the work that you will carry out for each one.

I will compare …

A research aim is a broad statement indicating the general purpose of your research project. It should appear in your introduction at the end of your problem statement , before your research objectives.

Research objectives are more specific than your research aim. They indicate the specific ways you’ll address the overarching aim.

A PhD, which is short for philosophiae doctor (doctor of philosophy in Latin), is the highest university degree that can be obtained. In a PhD, students spend 3–5 years writing a dissertation , which aims to make a significant, original contribution to current knowledge.

A PhD is intended to prepare students for a career as a researcher, whether that be in academia, the public sector, or the private sector.

A master’s is a 1- or 2-year graduate degree that can prepare you for a variety of careers.

All master’s involve graduate-level coursework. Some are research-intensive and intend to prepare students for further study in a PhD; these usually require their students to write a master’s thesis . Others focus on professional training for a specific career.

Critical thinking refers to the ability to evaluate information and to be aware of biases or assumptions, including your own.

Like information literacy , it involves evaluating arguments, identifying and solving problems in an objective and systematic way, and clearly communicating your ideas.

The best way to remember the difference between a research plan and a research proposal is that they have fundamentally different audiences. A research plan helps you, the researcher, organize your thoughts. On the other hand, a dissertation proposal or research proposal aims to convince others (e.g., a supervisor, a funding body, or a dissertation committee) that your research topic is relevant and worthy of being conducted.

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What is a research proposal?

A research proposal is a type of text which maps out a proposed central research problem or question and a suggested approach to its investigation.

In many universities, including RMIT, the research proposal is a formal requirement. It is central to achieving your first milestone: your Confirmation of Candidature. The research proposal is useful for both you and the University: it gives you the opportunity to get valuable feedback about your intended research aims, objectives and design. It also confirms that your proposed research is worth doing, which puts you on track for a successful candidature supported by your School and the University. 

Although there may be specific School or disciplinary requirements that you need to be aware of, all research proposals address the following central themes:

• what   you propose to research
• why   the topic needs to be researched
• how  you plan to research it.

Purpose and audience

Before venturing into writing a research purposal, it is important to think about the  purpose  and  audience of this type of text.  Spend a moment or two to reflect on what these might be.

What do you think is the purpose of your research proposal and who is your audience?

The purpose of your research proposal is:

1. To allow experienced researchers (your supervisors and their peers) to assess whether

• the research question or problem is viable (that is, answers or solutions are possible)
• the research is worth doing in terms of its contribution to the field of study and benefits to stakeholders
• the scope is appropriate to the degree (Masters or PhD)
• you’ve understood the relevant key literature and identified the gap for your research
• you’ve chosen an appropriate methodological approach.

2. To help you clarify and focus on what you want to do, why you want to do it, and how you’ll do it. The research proposal helps you position yourself as a researcher in your field. It will also allow you to:

• systematically think through your proposed research, argue for its significance and identify the scope
• show a critical understanding of the scholarly field around your proposed research
• show the gap in the literature that your research will address
• justify your proposed research design
• identify all tasks that need to be done through a realistic timetable
• anticipate potential problems
• hone organisational skills that you will need for your research
• become familiar with relevant search engines and databases
• develop skills in research writing.

The main audience for your research proposal is your reviewers. Universities usually assign a panel of reviewers to which you need to submit your research proposal. Often this is within the first year of study for PhD candidates, and within the first six months for Masters by Research candidates.

Your reviewers may have a strong disciplinary understanding of the area of your proposed research, but depending on your specialisation, they may not. It is therefore important to create a clear context, rationale and framework for your proposed research. Limit jargon and specialist terminology so that non-specialists can comprehend it. You need to convince the reviewers that your proposed research is worth doing and that you will be able to effectively ‘interrogate’ your research questions or address the research problems through your chosen research design.

Your review panel will expect you to demonstrate:

• a clearly defined and feasible research project
• a clearly explained rationale for your research
• evidence that your research will make an original contribution through a critical review of the literature
• written skills appropriate to graduate research study.

Research and Writing Skills for Academic and Graduate Researchers Copyright © 2022 by RMIT University is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License , except where otherwise noted.

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Organizing Your Social Sciences Research Paper: Writing a Research Proposal

• Purpose of Guide
• Writing a Research Proposal
• Design Flaws to Avoid
• Independent and Dependent Variables
• Narrowing a Topic Idea
• Broadening a Topic Idea
• The Research Problem/Question
• Academic Writing Style
• Choosing a Title
• Making an Outline
• Paragraph Development
• The C.A.R.S. Model
• Background Information
• Theoretical Framework
• Citation Tracking
• Evaluating Sources
• Reading Research Effectively
• Primary Sources
• Secondary Sources
• What Is Scholarly vs. Popular?
• Is it Peer-Reviewed?
• Qualitative Methods
• Quantitative Methods
• Common Grammar Mistakes
• Writing Concisely
• Avoiding Plagiarism [linked guide]
• Annotated Bibliography
• Grading Someone Else's Paper

The goal of a research proposal is to present and justify the need to study a research problem and to present the practical ways in which the proposed study should be conducted. The design elements and procedures for conducting the research are governed by standards within the predominant discipline in which the problem resides, so guidelines for research proposals are more exacting and less formal than a general project proposal. Research proposals contain extensive literature reviews. They must provide persuasive evidence that a need exists for the proposed study. In addition to providing a rationale, a proposal describes detailed methodology for conducting the research consistent with requirements of the professional or academic field and a statement on anticipated outcomes and/or benefits derived from the study's completion.

Krathwohl, David R. How to Prepare a Dissertation Proposal: Suggestions for Students in Education and the Social and Behavioral Sciences . Syracuse, NY: Syracuse University Press, 2005.

How to Approach Writing a Research Proposal

Your professor may assign the task of writing a research proposal for the following reasons:

• Develop your skills in thinking about and designing a comprehensive research study;
• Learn how to conduct a comprehensive review of the literature to ensure a research problem has not already been answered [or you may determine the problem has been answered ineffectively] and, in so doing, become better at locating scholarship related to your topic;
• Improve your general research and writing skills;
• Practice identifying the logical steps that must be taken to accomplish one's research goals;
• Critically review, examine, and consider the use of different methods for gathering and analyzing data related to the research problem; and,
• Nurture a sense of inquisitiveness within yourself and to help see yourself as an active participant in the process of doing scholarly research.

A proposal should contain all the key elements involved in designing a completed research study, with sufficient information that allows readers to assess the validity and usefulness of your proposed study. The only elements missing from a research proposal are the findings of the study and your analysis of those results. Finally, an effective proposal is judged on the quality of your writing and, therefore, it is important that your writing is coherent, clear, and compelling.

Regardless of the research problem you are investigating and the methodology you choose, all research proposals must address the following questions:

• What do you plan to accomplish? Be clear and succinct in defining the research problem and what it is you are proposing to research.
• Why do you want to do it? In addition to detailing your research design, you also must conduct a thorough review of the literature and provide convincing evidence that it is a topic worthy of study. Be sure to answer the "So What?" question.
• How are you going to do it? Be sure that what you propose is doable. If you're having trouble formulating a research problem to propose investigating, go here .

Common Mistakes to Avoid

• Failure to be concise; being "all over the map" without a clear sense of purpose.
• Failure to cite landmark works in your literature review.
• Failure to delimit the contextual boundaries of your research [e.g., time, place, people, etc.].
• Failure to develop a coherent and persuasive argument for the proposed research.
• Failure to stay focused on the research problem; going off on unrelated tangents.
• Sloppy or imprecise writing, or poor grammar.
• Too much detail on minor issues, but not enough detail on major issues.

Procter, Margaret. The Academic Proposal .  The Lab Report. University College Writing Centre. University of Toronto; Sanford, Keith. Information for Students: Writing a Research Proposal . Baylor University; Wong, Paul T. P. How to Write a Research Proposal . International Network on Personal Meaning. Trinity Western University; Writing Academic Proposals: Conferences, Articles, and Books . The Writing Lab and The OWL. Purdue University; Writing a Research Proposal . University Library. University of Illinois at Urbana-Champaign.

Structure and Writing Style

Beginning the Proposal Process

As with writing a regular academic paper, research proposals are generally organized the same way throughout most social science disciplines. Proposals vary between ten and twenty-five pages in length. However, before you begin, read the assignment carefully and, if anything seems unclear, ask your professor whether there are any specific requirements for organizing and writing the proposal.

A good place to begin is to ask yourself a series of questions:

• What do I want to study?
• Why is the topic important?
• How is it significant within the subject areas covered in my class?
• What problems will it help solve?
• How does it build upon [and hopefully go beyond] research already conducted on the topic?
• What exactly should I plan to do, and can I get it done in the time available?

In general, a compelling research proposal should document your knowledge of the topic and demonstrate your enthusiasm for conducting the study. Approach it with the intention of leaving your readers feeling like--"Wow, that's an exciting idea and I can’t wait to see how it turns out!"

In general your proposal should include the following sections:

I.  Introduction

In the real world of higher education, a research proposal is most often written by scholars seeking grant funding for a research project or it's the first step in getting approval to write a doctoral dissertation. Even if this is just a course assignment, treat your introduction as the initial pitch of an idea or a thorough examination of the significance of a research problem. After reading the introduction, your readers should not only have an understanding of what you want to do, but they should also be able to gain a sense of your passion for the topic and be excited about the study's possible outcomes. Note that most proposals do not include an abstract [summary] before the introduction.

Think about your introduction as a narrative written in one to three paragraphs that succinctly answers the following four questions :

• What is the central research problem?
• What is the topic of study related to that problem?
• What methods should be used to analyze the research problem?
• Why is this important research, what is its significance, and why should someone reading the proposal care about the outcomes of the proposed study?

II.  Background and Significance

This section can be melded into your introduction or you can create a separate section to help with the organization and narrative flow of your proposal. This is where you explain the context of your proposal and describe in detail why it's important. Approach writing this section with the thought that you can’t assume your readers will know as much about the research problem as you do. Note that this section is not an essay going over everything you have learned about the topic; instead, you must choose what is relevant to help explain the goals for your study.

To that end, while there are no hard and fast rules, you should attempt to address some or all of the following key points:

• State the research problem and give a more detailed explanation about the purpose of the study than what you stated in the introduction. This is particularly important if the problem is complex or multifaceted .
• Present the rationale of your proposed study and clearly indicate why it is worth doing. Answer the "So What? question [i.e., why should anyone care].
• Describe the major issues or problems to be addressed by your research. Be sure to note how your proposed study builds on previous assumptions about the research problem.
• Explain how you plan to go about conducting your research. Clearly identify the key sources you intend to use and explain how they will contribute to your analysis of the topic.
• Set the boundaries of your proposed research in order to provide a clear focus. Where appropriate, state not only what you will study, but what is excluded from the study.
• If necessary, provide definitions of key concepts or terms.

III.  Literature Review

Connected to the background and significance of your study is a section of your proposal devoted to a more deliberate review and synthesis of prior studies related to the research problem under investigation . The purpose here is to place your project within the larger whole of what is currently being explored, while demonstrating to your readers that your work is original and innovative. Think about what questions other researchers have asked, what methods they have used, and what is your understanding of their findings and, where stated, their recommendations. Do not be afraid to challenge the conclusions of prior research. Assess what you believe is missing and state how previous research has failed to adequately examine the issue that your study addresses. For more information on writing literature reviews, GO HERE .

Since a literature review is information dense, it is crucial that this section is intelligently structured to enable a reader to grasp the key arguments underpinning your study in relation to that of other researchers. A good strategy is to break the literature into "conceptual categories" [themes] rather than systematically describing groups of materials one at a time. Note that conceptual categories generally reveal themselves after you have read most of the pertinent literature on your topic so adding new categories is an on-going process of discovery as you read more studies. How do you know you've covered the key conceptual categories underlying the research literature? Generally, you can have confidence that all of the significant conceptual categories have been identified if you start to see repetition in the conclusions or recommendations that are being made.

To help frame your proposal's literature review, here are the "five C’s" of writing a literature review:

• Cite , so as to keep the primary focus on the literature pertinent to your research problem.
• Compare the various arguments, theories, methodologies, and findings expressed in the literature: what do the authors agree on? Who applies similar approaches to analyzing the research problem?
• Contrast the various arguments, themes, methodologies, approaches, and controversies expressed in the literature: what are the major areas of disagreement, controversy, or debate?
• Critique the literature: Which arguments are more persuasive, and why? Which approaches, findings, methodologies seem most reliable, valid, or appropriate, and why? Pay attention to the verbs you use to describe what an author says/does [e.g., asserts, demonstrates, argues, etc.] .
• Connect the literature to your own area of research and investigation: how does your own work draw upon, depart from, synthesize, or add a new perspective to what has been said in the literature?

IV.  Research Design and Methods

This section must be well-written and logically organized because you are not actually doing the research, yet, your reader must have confidence that it is worth pursuing . The reader will never have a study outcome from which to evaluate whether your methodological choices were the correct ones. Thus, the objective here is to convince the reader that your overall research design and methods of analysis will correctly address the problem and that the methods will provide the means to effectively interpret the potential results. Your design and methods should be unmistakably tied to the specific aims of your study.

Describe the overall research design by building upon and drawing examples from your review of the literature. Consider not only methods that other researchers have used but methods of data gathering that have not been used but perhaps could be. Be specific about the methodological approaches you plan to undertake to obtain information, the techniques you would use to analyze the data, and the tests of external validity to which you commit yourself [i.e., the trustworthiness by which you can generalize from your study to other people, places, events, and/or periods of time].

When describing the methods you will use, be sure to cover the following:

• Specify the research operations you will undertake and the way you will interpret the results of these operations in relation to the research problem. Don't just describe what you intend to achieve from applying the methods you choose, but state how you will spend your time while applying these methods [e.g., coding text from interviews to find statements about the need to change school curriculum; running a regression to determine if there is a relationship between campaign advertising on social media sites and election outcomes in Europe ].
• Keep in mind that a methodology is not just a list of tasks; it is an argument as to why these tasks add up to the best way to investigate the research problem. This is an important point because the mere listing of tasks to be performed does not demonstrate that, collectively, they effectively address the research problem. Be sure you explain this.
• Anticipate and acknowledge any potential barriers and pitfalls in carrying out your research design and explain how you plan to address them. No method is perfect so you need to describe where you believe challenges may exist in obtaining data or accessing information. It's always better to acknowledge this than to have it brought up by your reader.

Develop a Research Proposal: Writing the Proposal . Office of Library Information Services. Baltimore County Public Schools; Heath, M. Teresa Pereira and Caroline Tynan. “Crafting a Research Proposal.” The Marketing Review 10 (Summer 2010): 147-168; Jones, Mark. “Writing a Research Proposal.” In MasterClass in Geography Education: Transforming Teaching and Learning . Graham Butt, editor. (New York: Bloomsbury Academic, 2015), pp. 113-127; Juni, Muhamad Hanafiah. “Writing a Research Proposal.” International Journal of Public Health and Clinical Sciences 1 (September/October 2014): 229-240; Krathwohl, David R. How to Prepare a Dissertation Proposal: Suggestions for Students in Education and the Social and Behavioral Sciences . Syracuse, NY: Syracuse University Press, 2005; Procter, Margaret. The Academic Proposal . The Lab Report. University College Writing Centre. University of Toronto; Punch, Keith and Wayne McGowan. "Developing and Writing a Research Proposal." In From Postgraduate to Social Scientist: A Guide to Key Skills . Nigel Gilbert, ed. (Thousand Oaks, CA: Sage, 2006), 59-81; Wong, Paul T. P. How to Write a Research Proposal . International Network on Personal Meaning. Trinity Western University; Writing Academic Proposals: Conferences, Articles, and Books . The Writing Lab and The OWL. Purdue University; Writing a Research Proposal . University Library. University of Illinois at Urbana-Champaign.

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How To Write A Research Proposal

A Straightforward How-To Guide (With Examples)

By: Derek Jansen (MBA) | Reviewed By: Dr. Eunice Rautenbach | August 2019 (Updated April 2023)

Writing up a strong research proposal for a dissertation or thesis is much like a marriage proposal. It’s a task that calls on you to win somebody over and persuade them that what you’re planning is a great idea. An idea they’re happy to say ‘yes’ to. This means that your dissertation proposal needs to be   persuasive ,   attractive   and well-planned. In this post, I’ll show you how to write a winning dissertation proposal, from scratch.

Before you start:

– Understand exactly what a research proposal is – Ask yourself these 4 questions

The 5 essential ingredients:

• The title/topic
• The introduction chapter
• The scope/delimitations
• Preliminary literature review
• Design/ methodology
• Practical considerations and risks 

What Is A Research Proposal?

The research proposal is literally that: a written document that communicates what you propose to research, in a concise format. It’s where you put all that stuff that’s spinning around in your head down on to paper, in a logical, convincing fashion.

Convincing   is the keyword here, as your research proposal needs to convince the assessor that your research is   clearly articulated   (i.e., a clear research question) ,   worth doing   (i.e., is unique and valuable enough to justify the effort), and   doable   within the restrictions you’ll face (time limits, budget, skill limits, etc.). If your proposal does not address these three criteria, your research won’t be approved, no matter how “exciting” the research idea might be.

PS – if you’re completely new to proposal writing, we’ve got a detailed walkthrough video covering two successful research proposals here . 

How do I know I’m ready?

Before starting the writing process, you need to   ask yourself 4 important questions .  If you can’t answer them succinctly and confidently, you’re not ready – you need to go back and think more deeply about your dissertation topic .

You should be able to answer the following 4 questions before starting your dissertation or thesis research proposal:

• WHAT is my main research question? (the topic)
• WHO cares and why is this important? (the justification)
• WHAT data would I need to answer this question, and how will I analyse it? (the research design)
• HOW will I manage the completion of this research, within the given timelines? (project and risk management)

If you can’t answer these questions clearly and concisely,   you’re not yet ready   to write your research proposal – revisit our   post on choosing a topic .

If you can, that’s great – it’s time to start writing up your dissertation proposal. Next, I’ll discuss what needs to go into your research proposal, and how to structure it all into an intuitive, convincing document with a linear narrative.

The 5 Essential Ingredients

Research proposals can vary in style between institutions and disciplines, but here I’ll share with you a   handy 5-section structure   you can use. These 5 sections directly address the core questions we spoke about earlier, ensuring that you present a convincing proposal. If your institution already provides a proposal template, there will likely be substantial overlap with this, so you’ll still get value from reading on.

For each section discussed below, make sure you use headers and sub-headers (ideally, numbered headers) to help the reader navigate through your document, and to support them when they need to revisit a previous section. Don’t just present an endless wall of text, paragraph after paragraph after paragraph…

Top Tip:   Use MS Word Styles to format headings. This will allow you to be clear about whether a sub-heading is level 2, 3, or 4. Additionally, you can view your document in ‘outline view’ which will show you only your headings. This makes it much easier to check your structure, shift things around and make decisions about where a section needs to sit. You can also generate a 100% accurate table of contents using Word’s automatic functionality.

Ingredient #1 – Topic/Title Header

Your research proposal’s title should be your main research question in its simplest form, possibly with a sub-heading providing basic details on the specifics of the study. For example:

“Compliance with equality legislation in the charity sector: a study of the ‘reasonable adjustments’ made in three London care homes”

As you can see, this title provides a clear indication of what the research is about, in broad terms. It paints a high-level picture for the first-time reader, which gives them a taste of what to expect.   Always aim for a clear, concise title . Don’t feel the need to capture every detail of your research in your title – your proposal will fill in the gaps.

Need a helping hand?

Ingredient #2 – Introduction

In this section of your research proposal, you’ll expand on what you’ve communicated in the title, by providing a few paragraphs which offer more detail about your research topic. Importantly, the focus here is the   topic   – what will you research and why is that worth researching? This is not the place to discuss methodology, practicalities, etc. – you’ll do that later.

You should cover the following:

• An overview of the   broad area   you’ll be researching – introduce the reader to key concepts and language
• An explanation of the   specific (narrower) area   you’ll be focusing, and why you’ll be focusing there
• Your research   aims   and   objectives
• Your   research question (s) and sub-questions (if applicable)

Importantly, you should aim to use short sentences and plain language – don’t babble on with extensive jargon, acronyms and complex language. Assume that the reader is an intelligent layman – not a subject area specialist (even if they are). Remember that the   best writing is writing that can be easily understood   and digested. Keep it simple.

Note that some universities may want some extra bits and pieces in your introduction section. For example, personal development objectives, a structural outline, etc. Check your brief to see if there are any other details they expect in your proposal, and make sure you find a place for these.

Ingredient #3 – Scope

Next, you’ll need to specify what the scope of your research will be – this is also known as the delimitations . In other words, you need to make it clear what you will be covering and, more importantly, what you won’t be covering in your research. Simply put, this is about ring fencing your research topic so that you have a laser-sharp focus.

All too often, students feel the need to go broad and try to address as many issues as possible, in the interest of producing comprehensive research. Whilst this is admirable, it’s a mistake. By tightly refining your scope, you’ll enable yourself to   go deep   with your research, which is what you need to earn good marks. If your scope is too broad, you’re likely going to land up with superficial research (which won’t earn marks), so don’t be afraid to narrow things down.

Ingredient #4 – Literature Review

In this section of your research proposal, you need to provide a (relatively) brief discussion of the existing literature. Naturally, this will not be as comprehensive as the literature review in your actual dissertation, but it will lay the foundation for that. In fact, if you put in the effort at this stage, you’ll make your life a lot easier when it’s time to write your actual literature review chapter.

There are a few things you need to achieve in this section:

• Demonstrate that you’ve done your reading and are   familiar with the current state of the research   in your topic area.
• Show that   there’s a clear gap   for your specific research – i.e., show that your topic is sufficiently unique and will add value to the existing research.
• Show how the existing research has shaped your thinking regarding   research design . For example, you might use scales or questionnaires from previous studies.

When you write up your literature review, keep these three objectives front of mind, especially number two (revealing the gap in the literature), so that your literature review has a   clear purpose and direction . Everything you write should be contributing towards one (or more) of these objectives in some way. If it doesn’t, you need to ask yourself whether it’s truly needed.

Top Tip:  Don’t fall into the trap of just describing the main pieces of literature, for example, “A says this, B says that, C also says that…” and so on. Merely describing the literature provides no value. Instead, you need to   synthesise   it, and use it to address the three objectives above.

Ingredient #5 – Research Methodology

Now that you’ve clearly explained both your intended research topic (in the introduction) and the existing research it will draw on (in the literature review section), it’s time to get practical and explain exactly how you’ll be carrying out your own research. In other words, your research methodology.

In this section, you’ll need to   answer two critical questions :

• How   will you design your research? I.e., what research methodology will you adopt, what will your sample be, how will you collect data, etc.
• Why   have you chosen this design? I.e., why does this approach suit your specific research aims, objectives and questions?

In other words, this is not just about explaining WHAT you’ll be doing, it’s also about explaining WHY. In fact, the   justification is the most important part , because that justification is how you demonstrate a good understanding of research design (which is what assessors want to see).

Some essential design choices you need to cover in your research proposal include:

• Your intended research philosophy (e.g., positivism, interpretivism or pragmatism )
• What methodological approach you’ll be taking (e.g., qualitative , quantitative or mixed )
• The details of your sample (e.g., sample size, who they are, who they represent, etc.)
• What data you plan to collect (i.e. data about what, in what form?)
• How you plan to collect it (e.g., surveys , interviews , focus groups, etc.)
• How you plan to analyse it (e.g., regression analysis, thematic analysis , etc.)
• Ethical adherence (i.e., does this research satisfy all ethical requirements of your institution, or does it need further approval?)

This list is not exhaustive – these are just some core attributes of research design. Check with your institution what level of detail they expect. The “ research onion ” by Saunders et al (2009) provides a good summary of the various design choices you ultimately need to make – you can   read more about that here .

Don’t forget the practicalities…

In addition to the technical aspects, you will need to address the   practical   side of the project. In other words, you need to explain   what resources you’ll need   (e.g., time, money, access to equipment or software, etc.) and how you intend to secure these resources. You need to show that your project is feasible, so any “make or break” type resources need to already be secured. The success or failure of your project cannot depend on some resource which you’re not yet sure you have access to.

Another part of the practicalities discussion is   project and risk management . In other words, you need to show that you have a clear project plan to tackle your research with. Some key questions to address:

• What are the timelines for each phase of your project?
• Are the time allocations reasonable?
• What happens if something takes longer than anticipated (risk management)?
• What happens if you don’t get the response rate you expect?

A good way to demonstrate that you’ve thought this through is to include a Gantt chart and a risk register (in the appendix if word count is a problem). With these two tools, you can show that you’ve got a clear, feasible plan, and you’ve thought about and accounted for the potential risks.

Tip – Be honest about the potential difficulties – but show that you are anticipating solutions and workarounds. This is much more impressive to an assessor than an unrealistically optimistic proposal which does not anticipate any challenges whatsoever.

Final Touches: Read And Simplify

The final step is to edit and proofread your proposal – very carefully. It sounds obvious, but all too often poor editing and proofreading ruin a good proposal. Nothing is more off-putting for an assessor than a poorly edited, typo-strewn document. It sends the message that you either do not pay attention to detail, or just don’t care. Neither of these are good messages. Put the effort into editing and proofreading your proposal (or pay someone to do it for you) – it will pay dividends.

When you’re editing, watch out for ‘academese’. Many students can speak simply, passionately and clearly about their dissertation topic – but become incomprehensible the moment they turn the laptop on. You are not required to write in any kind of special, formal, complex language when you write academic work. Sure, there may be technical terms, jargon specific to your discipline, shorthand terms and so on. But, apart from those,   keep your written language very close to natural spoken language   – just as you would speak in the classroom. Imagine that you are explaining your project plans to your classmates or a family member. Remember, write for the intelligent layman, not the subject matter experts. Plain-language, concise writing is what wins hearts and minds – and marks!

Let’s Recap: Research Proposal 101

And there you have it – how to write your dissertation or thesis research proposal, from the title page to the final proof. Here’s a quick recap of the key takeaways:

• The purpose of the research proposal is to   convince   – therefore, you need to make a clear, concise argument of why your research is both worth doing and doable.
• Make sure you can ask the critical what, who, and how questions of your research   before   you put pen to paper.
• Title – provides the first taste of your research, in broad terms
• Introduction – explains what you’ll be researching in more detail
• Scope – explains the boundaries of your research
• Literature review – explains how your research fits into the existing research and why it’s unique and valuable
• Research methodology – explains and justifies how you will carry out your own research

Hopefully, this post has helped you better understand how to write up a winning research proposal. If you enjoyed it, be sure to check out the rest of the Grad Coach Blog . If your university doesn’t provide any template for your proposal, you might want to try out our free research proposal template .

Psst… there’s more!

This post is an extract from our bestselling short course, Research Proposal Bootcamp . If you want to work smart, you don't want to miss this .

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30 Comments

Thank you so much for the valuable insight that you have given, especially on the research proposal. That is what I have managed to cover. I still need to go back to the other parts as I got disturbed while still listening to Derek’s audio on you-tube. I am inspired. I will definitely continue with Grad-coach guidance on You-tube.

Thanks for the kind words :). All the best with your proposal.

First of all, thanks a lot for making such a wonderful presentation. The video was really useful and gave me a very clear insight of how a research proposal has to be written. I shall try implementing these ideas in my RP.

Once again, I thank you for this content.

I found reading your outline on writing research proposal very beneficial. I wish there was a way of submitting my draft proposal to you guys for critiquing before I submit to the institution.

Hi Bonginkosi

Thank you for the kind words. Yes, we do provide a review service. The best starting point is to have a chat with one of our coaches here: https://gradcoach.com/book/new/ .

Hello team GRADCOACH, may God bless you so much. I was totally green in research. Am so happy for your free superb tutorials and resources. Once again thank you so much Derek and his team.

You’re welcome, Erick. Good luck with your research proposal 🙂

thank you for the information. its precise and on point.

Really a remarkable piece of writing and great source of guidance for the researchers. GOD BLESS YOU for your guidance. Regards

Thanks so much for your guidance. It is easy and comprehensive the way you explain the steps for a winning research proposal.

Thank you guys so much for the rich post. I enjoyed and learn from every word in it. My problem now is how to get into your platform wherein I can always seek help on things related to my research work ? Secondly, I wish to find out if there is a way I can send my tentative proposal to you guys for examination before I take to my supervisor Once again thanks very much for the insights

Thanks for your kind words, Desire.

If you are based in a country where Grad Coach’s paid services are available, you can book a consultation by clicking the “Book” button in the top right.

Best of luck with your studies.

May God bless you team for the wonderful work you are doing,

If I have a topic, Can I submit it to you so that you can draft a proposal for me?? As I am expecting to go for masters degree in the near future.

Thanks for your comment. We definitely cannot draft a proposal for you, as that would constitute academic misconduct. The proposal needs to be your own work. We can coach you through the process, but it needs to be your own work and your own writing.

Best of luck with your research!

I found a lot of many essential concepts from your material. it is real a road map to write a research proposal. so thanks a lot. If there is any update material on your hand on MBA please forward to me.

GradCoach is a professional website that presents support and helps for MBA student like me through the useful online information on the page and with my 1-on-1 online coaching with the amazing and professional PhD Kerryen.

Thank you Kerryen so much for the support and help 🙂

I really recommend dealing with such a reliable services provider like Gradcoah and a coach like Kerryen.

Hi, Am happy for your service and effort to help students and researchers, Please, i have been given an assignment on research for strategic development, the task one is to formulate a research proposal to support the strategic development of a business area, my issue here is how to go about it, especially the topic or title and introduction. Please, i would like to know if you could help me and how much is the charge.

This content is practical, valuable, and just great!

Thank you very much!

Hi Derek, Thank you for the valuable presentation. It is very helpful especially for beginners like me. I am just starting my PhD.

This is quite instructive and research proposal made simple. Can I have a research proposal template?

Great! Thanks for rescuing me, because I had no former knowledge in this topic. But with this piece of information, I am now secured. Thank you once more.

I enjoyed listening to your video on how to write a proposal. I think I will be able to write a winning proposal with your advice. I wish you were to be my supervisor.

Dear Derek Jansen,

Thank you for your great content. I couldn’t learn these topics in MBA, but now I learned from GradCoach. Really appreciate your efforts….

From Afghanistan!

I have got very essential inputs for startup of my dissertation proposal. Well organized properly communicated with video presentation. Thank you for the presentation.

Wow, this is absolutely amazing guys. Thank you so much for the fruitful presentation, you’ve made my research much easier.

this helps me a lot. thank you all so much for impacting in us. may god richly bless you all

How I wish I’d learn about Grad Coach earlier. I’ve been stumbling around writing and rewriting! Now I have concise clear directions on how to put this thing together. Thank you!

Fantastic!! Thank You for this very concise yet comprehensive guidance.

Even if I am poor in English I would like to thank you very much.

Thank you very much, this is very insightful.

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Research Proposal: A step-by-step guide with template

Making sure your proposal is perfect will drastically improve your chances of landing a successful research position. Follow these steps.

There’s no doubt you have the most cutting-edge research idea to date, backed up by a solid methodology and a credible explanation proving its relevance! There are thousands of research ideas that could change the world with many new ideologies.

The truth is, none of this would matter without support. It can be daunting, challenging, and uncertain to secure funding for a research project. Even more so when it isn’t well-thought-out, outlined, and includes every detail.

An effective solution for presenting your project, or requesting funding, is to provide a research proposal to potential investors or financiers on your behalf.

It’s crucial to understand that making sure your proposal is perfect will drastically improve your chances of landing a successful research position. Your research proposal could result in the failure to study the research problem entirely if it is inadequately constructed or incomplete.

It is for this reason that we have created an excellent guide that covers everything you need to know about writing a research proposal, and includes helpful tips for presenting your proposal professionally and improving its likelihood of acceptance!

What Is a Research Proposal?

Generally, a research proposal is a well-crafted, formal document that provides a thorough explanation of what you plan to investigate. This includes a rationale for why it is worth investigating, as well as a method for investigating it.

Research proposal writing in the contemporary academic environment is a challenging undertaking given the constant shift in research methodology and a commitment to incorporating scientific breakthroughs.

An outline of the plan or roadmap for the study is the proposal, and once the proposal is complete, everything should be smooth sailing. It is still common for post-graduate evaluation panels and funding applications to submit substandard proposals.

By its very nature, the research proposal serves as a tool for convincing the supervisor, committee, or university that the proposed research fits within the scope of the program and is feasible when considering the time and resources available.

A research proposal should convince the person who is going to sanction your research, or put another way, you need to persuade them that your research idea is the best.

Obviously, if it does not convince them that it is reasonable and adequate, you will need to revise and submit it again. As a result, you will lose significant time, causing your research to be delayed or cut short, which is not good.

A good research proposal should have the following structure

A dissertation or thesis research proposal may take on a variety of forms depending on the university, but  most generally a research proposal will include the following elements:

• Titles or title pages that give a description of the research
• Detailed explanation of the proposed research and its background
• Outline of the research project
• An overview of key research studies in the field
• Description the proposed research design (approach)

So, if you include all these elements, you will have a general outline. Let’s take a closer look at how to write them and what to include in each element so that the research proposal is as robust as the idea itself.

A step-by-step guide to writing a research proposal

#1 introduction.

Researchers who wish to obtain grant funding for a project often write a proposal when seeking funding for a research-based postgraduate degree program, or in order to obtain approval for completing a thesis or PhD. Even though this is only a brief introduction, we should be considering it the beginning of an insightful discussion about the significance of a topic that deserves attention.

Your readers should understand what you are trying to accomplish after they read your introduction. Additionally, they should be able to perceive your zeal for the subject matter and a genuine interest in the possible outcome of the research.

As your introduction, consider answering these questions in three to four paragraphs:

• In what way does the study address its primary issue?
• Does that subject matter fall under the domain of that field of study?
• In order to investigate that problem, what method should be used?
• What is the importance of this study?
• How does it impact academia and society overall?
• What are the potential implications of the proposed research for someone reviewing the proposal?

It is not necessary to include an abstract or summary for the introduction to most academic departments and funding sources. Nevertheless, you should confirm your institution’s requirements.

#2 Background and importance

An explanation of the rationale for a research proposal and its significance is provided in this section. It is preferable to separate this part from the introduction so that the narrative flows seamlessly.

This section should be approached by presuming readers are time-pressed but want a general overview of the whole study and the research question.

Please keep in mind that this isn’t an exhaustive essay that contains every detail of your proposed research, rather a concise document that will spark interest in your proposal.

While you should try to take into account the following factors when framing the significance of your proposed study, there are no rigid rules.

• Provide a detailed explanation of the purpose and problem of the study. Multidimensional or interdisciplinary research problems often require this.
• Outline the purpose of your proposed research and describe the advantages of carrying out the study.
• Outline the major issues or problems to be discussed. These might come in the form of questions or comments.
• Be sure to highlight how your research contributes to existing theories that relate to the problem of the study.
• Describe how your study will be conducted, including the source of data and the method of analysis.
• To provide a sense of direction for your study, define the scope of your proposal.
• Defining key concepts or terms, if necessary, is recommended.

The steps to a perfect research proposal all get more specific as we move forward to enhance the concept of the research. In this case, it will become important to make sure that your supervisor or your funder has a clear understanding of every aspect of your research study.

#3 Reviewing prior literature and studies

The aim of this paragraph is to establish the context and significance of your study, including a review of the current literature pertinent to it.

This part aims to properly situate your proposed study within the bigger scheme of things of what is being investigated, while, at the same time, showing the innovation and originality of your proposed work.

When writing a literature review, it is imperative that your format is effective because it often contains extensive information that allows you to demonstrate your main research claims compared to other scholars.

Separating the literature according to major categories or conceptual frameworks is an excellent way to do this. This is a more effective method than listing each study one by one in chronological order.

In order to arrange the review of existing relevant studies in an efficient manner, a literature review is often written using the following five criteria:

• Be sure to cite your previous studies to ensure the focus remains on the research question. For more information, please refer to our guide on how to write a research paper .
• Study the literature’s methods, results, hypotheses, and conclusions. Recognize the authors’ differing perspectives.
• Compare and contrast the various themes, arguments, methodologies, and perspectives discussed in the literature. Explain the most prominent points of disagreement.
• Evaluate the literature. Identify persuasive arguments offered by scholars. Choose the most reliable, valid, and suitable methodologies.
• Consider how the literature relates to your area of research and your topic. Examine whether your proposal for investigation reflects existing literature, deviates from existing literature, synthesizes or adds to it in some way.

#4 Research questions and objectives

The next step is to develop your research objectives once you have determined your research focus.

When your readers read your proposal, what do you want them to learn? Try to write your objectives in one sentence, if you can. Put time and thought into framing them properly.

By setting an objective for your research, you’ll stay on track and avoid getting sidetracked.

Any study proposal should address the following questions irrespective of the topic or problem:

• What are you hoping to accomplish from the study? When describing the study topic and your research question, be concise and to the point.
• What is the purpose of the research? A compelling argument must also be offered to support your choice of topic.
• What research methods will you use? It is essential to outline a clear, logical strategy for completing your study and make sure that it is doable.

Some authors include this section in the introduction, where it is generally placed at the end of the section.

#5 Research Design and Methods

It is important to write this part correctly and organize logically even though you are not starting the research yet.  This must leave readers with a sense of assurance that the topic is worthwhile.

To achieve this, you must convince your reader that your research design and procedures will adequately address the study’s problems. Additionally, it seeks to ensure that the employed methods are capable of interpreting the likely study results efficiently.

You should design your research in a way that is directly related to your objectives.

Exemplifying your study design using examples from your literature review, you are setting up your study design effectively. You should follow other researchers’ good practices.

Pay attention to the methods you will use to collect data, the analyses you will perform, as well as your methods of measuring the validity of your results.

If you describe the methods you will use, make sure you include the following points:

• Develop a plan for conducting your research, as well as how you intend to interpret the findings based on the study’s objectives.
• When describing your objectives with the selected techniques, it is important to also elaborate on your plans.
• This section does not only present a list of events. Once you have chosen the strategy, make sure to explain why it is a good way to analyse your study question. Provide clear explanations.
• Last but not least, plan ahead to overcome any challenges you might encounter during the implementation of your research design.

In the event that you closely follow the best practices outlined in relevant studies as well as justify your selection, you will be prepared to address any questions or concerns you may encounter.

We have an amazing article that will give you everything you need to know about research design .

#6 Knowledge Contribution and Relevance

In this section, you describe your theory about how your study will contribute to, expand, or alter knowledge about the topic of your study.

You should discuss the implications of your research on future studies, applications, concepts, decisions, and procedures. It is common to address the study findings from a conceptual, analytical, or scientific perspective.

If you are framing your proposal of research, these guide questions may help you:

• How could the results be interpreted in the context of contesting the premises of the study?
• Could the expected study results lead to proposals for further research?
• Is your proposed research going to benefit people in any way?
• Is the outcome going to affect individuals in their work setting?
• In what ways will the suggested study impact or enhance the quality of life?
• Are the study’s results going to have an impact on intervention forms, techniques, or policies?
• What potential commercial, societal, or other benefits could be derived from the outcomes?
• Policy decisions will be influenced by the outcomes?
• Upon implementation, could they bring about new insights or breakthroughs?

Throughout this section, you will identify unsolved questions or research gaps in the existing literature. If the study is conducted as proposed, it is important to indicate how the research will be instrumental in understanding the nature of the research problem.

#7 Adherence to the Ethical Principles

In terms of scientific writing style, no particular style is generally acknowledged as more or less effective. The purpose is simply to provide relevant content that is formatted in a standardized way to enhance communication.

There are a variety of publication styles among different scholarly disciplines. It is therefore essential to follow the protocol according to the institution or organization that you are targeting.

All scholarly research and writing is, however, guided by codes of ethical conduct. The purpose of ethical guidelines, if they are followed, is to accomplish three things:

1) Preserve intellectual property right;

2) Ensure the rights and welfare of research participants;

3) Maintain the accuracy of scientific knowledge.

Scholars and writers who follow these ideals adhere to long-standing standards within their professional groups.

An additional ethical principle of the APA stresses the importance of maintaining scientific validity. An observation is at the heart of the standard scientific method, and it is verifiable and repeatable by others.

It is expected that scholars will not falsify or fabricate data in research writing. Researchers must also refrain from altering their studies’ outcomes to support a particular theory or to exclude inconclusive data from their report in an effort to create a convincing one.

#8 The budget

The need for detailed budgetary planning is not required by all universities when studying historical material or academic literature, though some do require it. In the case of a research grant application, you will likely have to include a comprehensive budget that breaks down the costs of each major component.

Ensure that the funding program or organization will cover the required costs, and include only the necessary items. For each of the items, you should include the following.

• To complete the study in its entirety, how much money would you require?
• Discuss the rationale for such a budget item for the purpose of completing research.
• The source of the amount – describe how it was determined.

When doing a study, you cannot buy ingredients the way you normally would. With so many items not having a price tag, how can you make a budget? Take the following into consideration:

• Does your project require access to any software programs or solutions? Do you need to install or train a technology tool?
• How much time will you be spending on your research study? Are you required to take time off from work to do your research?
• Are you going to need to travel to certain locations to meet with respondents or to collect data? At what cost?
• Will you be seeking research assistants for the study you propose? In what capacity and for what compensation? What other aspects are you planning to outsource?

It is possible to calculate a budget while also being able to estimate how much more money you will need in the event of an emergency.

#9 Timeline

A realistic and concise research schedule is also important to keep in mind. You should be able to finish your plan of study within the allotted time period, such as your degree program or the academic calendar.

You should include a timeline that includes a series of objectives you must complete to meet all the requirements for your scholarly research. The process starts with preliminary research and ends with final editing. A completion date for every step is required.

In addition, one should state the development that has been made. It is also recommended to include other relevant research events, for instance paper or poster presentations . In addition, a researcher must update the timeline regularly, as necessary, since this is not a static document.

#10 A Concluding Statement

Presenting a few of the anticipated results of your research proposal is an effective way to conclude your proposal.

The final stage of the process requires you to reveal the conclusion and rationale you anticipate reaching. Considering the research you have done so far, your reader knows that these are anticipated results, which are likely to evolve once the whole study is completed.

In any case, you must let the supervisors or sponsors know what implications may be drawn. It will be easier for them to assess the reliability and relevance of your research.

It will also demonstrate your meticulousness since you will have anticipated and taken into consideration the potential consequences of your research.

The Appendix section is required by some funding sources and academic institutions. This is extra information that is not in the main argument of the proposal, but appears to enhance the points made.

For example, data in the form of tables, consent forms, clinical/research guidelines, and procedures for data collection may be included in this document.

Research Proposal Template

Now that you know all about each element that composes an ideal research proposal, here is an extra help: a ready to use research proposal example. Just hit the button below, make a copy of the document and start working!

Avoid these common mistakes

In an era when rejection rates for prestigious journals can reach as high as 90 percent, you must avoid the following common mistakes when submitting a proposal:

• Proposals that are too long. Stay to the point when you write research proposals. Make your document concise and specific. Be sure not to diverge into off-topic discussions.
• Taking up too much research time. Many students struggle to delineate the context of their studies, regardless of the topic, time, or location. In order to explain the methodology of the study clearly to the reader, the proposal must clearly state what the study will focus on.
• Leaving out significant works from a literature review. Though everything in the proposal should be kept at a minimum, key research studies must need to be included. To understand the scope and growth of the issue, proposals should be based on significant studies.
• Major topics are too rarely discussed, and too much attention is paid to minor details. To persuasively argue for a study, a proposal should focus on just a few key research questions. Minor details should be noted, but should not overshadow the thesis.
• The proposal does not have a compelling and well-supported argument. To prove that a study should be approved or funded, the research proposal must outline its purpose.
• A typographical error, bad grammar or sloppy writing style. Even though a research proposal outlines a part of a larger project, it must conform to academic writing standards and guidelines.

A final note

We have come to the end of our research proposal guide. We really hope that you have found all the information you need. Wishing you success with the research study.

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Research Proposal: What it is + Free Guide

The success of your project, your team, and your financial future is dependent on the success of your research proposal. In some instances, it will assist in obtaining funding in your chosen field of study, while in other cases, it may facilitate your receiving a grant or funding.

The following article is designed to help you provide your decision-makers with the best research proposal strategy.

What is a Research Proposal?

A Research Proposal is an outline and overview of the research you intend to conduct. Its goal is t o establish expertise and support your proposed area of research in shaping the assessment of your application. Your research proposal is just the beginning of your research project. Over time, your ideas will grow and develop.

Benefits of writing a well-designed research proposal

The purpose of a research proposal is to inform your client or end-user of the significance of your research . It will also provide the following benefits:

• Show that your project is important and of high quality and that you are capable of completing the research.
• Provide an opportunity for you to think through your research project, refine your focus, and anticipate any challenges that may arise. 
• You may want to review your proposal at different stages of your research process .

to remind yourself of your focus and to chart how your project has progressed.

How to write a Research Proposal 

What to include in the proposal:.

Provide a brief and concise overview of the survey in your introduction. Identify the survey topic, the data sought, and the target. Additionally, the introduction should describe the purpose of the survey, how the results will be used, how the volunteers or paid respondents will be contacted, and how many people will be contacted.

Include the dates on which the survey will begin and end. It should also be noted whether the identities of the participants will also be revealed with the results. The proposal should include a copy of the survey.

This will give the relevant authority or review committee that will be approving or disapproving the survey the opportunity to analyze the survey intent in detail. In the event that the results are subject to sampling errors , specify how the data will be handled.

1. Specificity Is Key

Imagine a professor of neurology heading a research group that wants to survey college students’ sleeping habits and needs 100 volunteers to complete five short questions. Researchers could contact students on campus to recruit participants. The survey proposal would include detailed information on what the neurology team is trying to learn, including information on why the survey is important, such as citing prior research in the field.

2. Provide Contact Information

A survey proposal should identify the surveyors involved and include the name of the person who will handle the proposal. In addition, a description of the manner in which participants will be contacted (by telephone, email, or in-person) should be included.

3. Example of an outline for a survey research proposal

It is important to structure your Survey Proposal Outline so that it provides structure to your reader, addressing your problem statement or main point of the study.

Describe your objectives, research methodology, research activities, and a timeline similar to what follows.

What Not To Do While Writing A Research Proposal

• The topic of your research cannot be generic. It has to be concise and to the point.
• Not explaining the need for your study: If anyone has to invest anything into your research, you’ll need to sell it.
• Having impractical goals or suggestions without any backing.
• Have poor theory and knowledge of the subject.
• Use outdated material and data sources as reference points.
• Poor grammar and poor presentation skills for your idea

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QuestionPro’s powerful suite of research tools provides you with all you need to derive research results. Our online survey platform includes custom point and click logic and advanced question types.

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Home » Significance of the Study – Examples and Writing Guide

Significance of the Study – Examples and Writing Guide

Table of Contents

Significance of the Study

Definition:

Significance of the study in research refers to the potential importance, relevance, or impact of the research findings. It outlines how the research contributes to the existing body of knowledge, what gaps it fills, or what new understanding it brings to a particular field of study.

In general, the significance of a study can be assessed based on several factors, including:

• Originality : The extent to which the study advances existing knowledge or introduces new ideas and perspectives.
• Practical relevance: The potential implications of the study for real-world situations, such as improving policy or practice.
• Theoretical contribution: The extent to which the study provides new insights or perspectives on theoretical concepts or frameworks.
• Methodological rigor : The extent to which the study employs appropriate and robust methods and techniques to generate reliable and valid data.
• Social or cultural impact : The potential impact of the study on society, culture, or public perception of a particular issue.

Types of Significance of the Study

The significance of the Study can be divided into the following types:

Theoretical Significance

Theoretical significance refers to the contribution that a study makes to the existing body of theories in a specific field. This could be by confirming, refuting, or adding nuance to a currently accepted theory, or by proposing an entirely new theory.

Practical Significance

Practical significance refers to the direct applicability and usefulness of the research findings in real-world contexts. Studies with practical significance often address real-life problems and offer potential solutions or strategies. For example, a study in the field of public health might identify a new intervention that significantly reduces the spread of a certain disease.

Significance for Future Research

This pertains to the potential of a study to inspire further research. A study might open up new areas of investigation, provide new research methodologies, or propose new hypotheses that need to be tested.

How to Write Significance of the Study

Here’s a guide to writing an effective “Significance of the Study” section in research paper, thesis, or dissertation:

• Background : Begin by giving some context about your study. This could include a brief introduction to your subject area, the current state of research in the field, and the specific problem or question your study addresses.
• Identify the Gap : Demonstrate that there’s a gap in the existing literature or knowledge that needs to be filled, which is where your study comes in. The gap could be a lack of research on a particular topic, differing results in existing studies, or a new problem that has arisen and hasn’t yet been studied.
• State the Purpose of Your Study : Clearly state the main objective of your research. You may want to state the purpose as a solution to the problem or gap you’ve previously identified.
• Contributes to the existing body of knowledge.
• Addresses a significant research gap.
• Offers a new or better solution to a problem.
• Impacts policy or practice.
• Leads to improvements in a particular field or sector.
• Identify Beneficiaries : Identify who will benefit from your study. This could include other researchers, practitioners in your field, policy-makers, communities, businesses, or others. Explain how your findings could be used and by whom.
• Future Implications : Discuss the implications of your study for future research. This could involve questions that are left open, new questions that have been raised, or potential future methodologies suggested by your study.

Significance of the Study in Research Paper

The Significance of the Study in a research paper refers to the importance or relevance of the research topic being investigated. It answers the question “Why is this research important?” and highlights the potential contributions and impacts of the study.

The significance of the study can be presented in the introduction or background section of a research paper. It typically includes the following components:

• Importance of the research problem: This describes why the research problem is worth investigating and how it relates to existing knowledge and theories.
• Potential benefits and implications: This explains the potential contributions and impacts of the research on theory, practice, policy, or society.
• Originality and novelty: This highlights how the research adds new insights, approaches, or methods to the existing body of knowledge.
• Scope and limitations: This outlines the boundaries and constraints of the research and clarifies what the study will and will not address.

Suppose a researcher is conducting a study on the “Effects of social media use on the mental health of adolescents”.

The significance of the study may be:

“The present study is significant because it addresses a pressing public health issue of the negative impact of social media use on adolescent mental health. Given the widespread use of social media among this age group, understanding the effects of social media on mental health is critical for developing effective prevention and intervention strategies. This study will contribute to the existing literature by examining the moderating factors that may affect the relationship between social media use and mental health outcomes. It will also shed light on the potential benefits and risks of social media use for adolescents and inform the development of evidence-based guidelines for promoting healthy social media use among this population. The limitations of this study include the use of self-reported measures and the cross-sectional design, which precludes causal inference.”

Significance of the Study In Thesis

The significance of the study in a thesis refers to the importance or relevance of the research topic and the potential impact of the study on the field of study or society as a whole. It explains why the research is worth doing and what contribution it will make to existing knowledge.

For example, the significance of a thesis on “Artificial Intelligence in Healthcare” could be:

• With the increasing availability of healthcare data and the development of advanced machine learning algorithms, AI has the potential to revolutionize the healthcare industry by improving diagnosis, treatment, and patient outcomes. Therefore, this thesis can contribute to the understanding of how AI can be applied in healthcare and how it can benefit patients and healthcare providers.
• AI in healthcare also raises ethical and social issues, such as privacy concerns, bias in algorithms, and the impact on healthcare jobs. By exploring these issues in the thesis, it can provide insights into the potential risks and benefits of AI in healthcare and inform policy decisions.
• Finally, the thesis can also advance the field of computer science by developing new AI algorithms or techniques that can be applied to healthcare data, which can have broader applications in other industries or fields of research.

Significance of the Study in Research Proposal

The significance of a study in a research proposal refers to the importance or relevance of the research question, problem, or objective that the study aims to address. It explains why the research is valuable, relevant, and important to the academic or scientific community, policymakers, or society at large. A strong statement of significance can help to persuade the reviewers or funders of the research proposal that the study is worth funding and conducting.

Here is an example of a significance statement in a research proposal:

Title : The Effects of Gamification on Learning Programming: A Comparative Study

Significance Statement:

This proposed study aims to investigate the effects of gamification on learning programming. With the increasing demand for computer science professionals, programming has become a fundamental skill in the computer field. However, learning programming can be challenging, and students may struggle with motivation and engagement. Gamification has emerged as a promising approach to improve students’ engagement and motivation in learning, but its effects on programming education are not yet fully understood. This study is significant because it can provide valuable insights into the potential benefits of gamification in programming education and inform the development of effective teaching strategies to enhance students’ learning outcomes and interest in programming.

Examples of Significance of the Study

Here are some examples of the significance of a study that indicates how you can write this into your research paper according to your research topic:

Research on an Improved Water Filtration System : This study has the potential to impact millions of people living in water-scarce regions or those with limited access to clean water. A more efficient and affordable water filtration system can reduce water-borne diseases and improve the overall health of communities, enabling them to lead healthier, more productive lives.

Study on the Impact of Remote Work on Employee Productivity : Given the shift towards remote work due to recent events such as the COVID-19 pandemic, this study is of considerable significance. Findings could help organizations better structure their remote work policies and offer insights on how to maximize employee productivity, wellbeing, and job satisfaction.

Investigation into the Use of Solar Power in Developing Countries : With the world increasingly moving towards renewable energy, this study could provide important data on the feasibility and benefits of implementing solar power solutions in developing countries. This could potentially stimulate economic growth, reduce reliance on non-renewable resources, and contribute to global efforts to combat climate change.

Research on New Learning Strategies in Special Education : This study has the potential to greatly impact the field of special education. By understanding the effectiveness of new learning strategies, educators can improve their curriculum to provide better support for students with learning disabilities, fostering their academic growth and social development.

Examination of Mental Health Support in the Workplace : This study could highlight the impact of mental health initiatives on employee wellbeing and productivity. It could influence organizational policies across industries, promoting the implementation of mental health programs in the workplace, ultimately leading to healthier work environments.

Evaluation of a New Cancer Treatment Method : The significance of this study could be lifesaving. The research could lead to the development of more effective cancer treatments, increasing the survival rate and quality of life for patients worldwide.

When to Write Significance of the Study

The Significance of the Study section is an integral part of a research proposal or a thesis. This section is typically written after the introduction and the literature review. In the research process, the structure typically follows this order:

• Title – The name of your research.
• Abstract – A brief summary of the entire research.
• Introduction – A presentation of the problem your research aims to solve.
• Literature Review – A review of existing research on the topic to establish what is already known and where gaps exist.
• Significance of the Study – An explanation of why the research matters and its potential impact.

In the Significance of the Study section, you will discuss why your study is important, who it benefits, and how it adds to existing knowledge or practice in your field. This section is your opportunity to convince readers, and potentially funders or supervisors, that your research is valuable and worth undertaking.

Advantages of Significance of the Study

The Significance of the Study section in a research paper has multiple advantages:

• Establishes Relevance: This section helps to articulate the importance of your research to your field of study, as well as the wider society, by explicitly stating its relevance. This makes it easier for other researchers, funders, and policymakers to understand why your work is necessary and worth supporting.
• Guides the Research: Writing the significance can help you refine your research questions and objectives. This happens as you critically think about why your research is important and how it contributes to your field.
• Attracts Funding: If you are seeking funding or support for your research, having a well-written significance of the study section can be key. It helps to convince potential funders of the value of your work.
• Opens up Further Research: By stating the significance of the study, you’re also indicating what further research could be carried out in the future, based on your work. This helps to pave the way for future studies and demonstrates that your research is a valuable addition to the field.
• Provides Practical Applications: The significance of the study section often outlines how the research can be applied in real-world situations. This can be particularly important in applied sciences, where the practical implications of research are crucial.
• Enhances Understanding: This section can help readers understand how your study fits into the broader context of your field, adding value to the existing literature and contributing new knowledge or insights.

Limitations of Significance of the Study

The Significance of the Study section plays an essential role in any research. However, it is not without potential limitations. Here are some that you should be aware of:

• Subjectivity: The importance and implications of a study can be subjective and may vary from person to person. What one researcher considers significant might be seen as less critical by others. The assessment of significance often depends on personal judgement, biases, and perspectives.
• Predictability of Impact: While you can outline the potential implications of your research in the Significance of the Study section, the actual impact can be unpredictable. Research doesn’t always yield the expected results or have the predicted impact on the field or society.
• Difficulty in Measuring: The significance of a study is often qualitative and can be challenging to measure or quantify. You can explain how you think your research will contribute to your field or society, but measuring these outcomes can be complex.
• Possibility of Overstatement: Researchers may feel pressured to amplify the potential significance of their study to attract funding or interest. This can lead to overstating the potential benefits or implications, which can harm the credibility of the study if these results are not achieved.
• Overshadowing of Limitations: Sometimes, the significance of the study may overshadow the limitations of the research. It is important to balance the potential significance with a thorough discussion of the study’s limitations.
• Dependence on Successful Implementation: The significance of the study relies on the successful implementation of the research. If the research process has flaws or unexpected issues arise, the anticipated significance might not be realized.

About the author

Muhammad Hassan

Researcher, Academic Writer, Web developer

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Purpose and Benefits of a Research Proposal

Table of Contents

Research proposals are essential to the academic world, providing a roadmap for research and experimentation. They enable academics to hone their ideas and articulate them in a way that peers and potential collaborators can understand. In addition, they serve as a means of demonstrating one’s expertise in a subject area and can also have important benefits beyond academia. Proposals can help secure funding. This article will discuss the  purpose of a proposal  in academia.

Purpose of a Proposal

A research proposal is a document that outlines the proposed research project and its aims, objectives, methods, results, and conclusion . It serves as an essential tool to get approval from potential sponsors or funding agencies to proceed with the research. A well-drafted research proposal should demonstrate the author’s expertise in the field of study and convey their intentions clearly to readers. Here are the specific purposes a research proposal serves.

Provide Information About the Study

The primary purpose of a research proposal is to provide sufficient information about the intended research study. It helps readers to evaluate its value and make a decision on whether to fund it or not. The proposal must also convince reviewers that the investigator has the appropriate knowledge and skills to conduct the study successfully. Therefore, it is important to present the research plan in a concise, accurate, logical, and understandable manner. The proposal should include all necessary details such as background information, objectives, methodology, data collection plans, timeline, budget, and expected outcomes.

Research Guidance

A secondary purpose of a research proposal is to offer practical guidance for conducting the planned investigation. In other words, it provides step-by-step instructions for designing and carrying out the research work. This includes identifying suitable research participants, specifying which variables will be measured, and determining how data will be collected. It also includes analyzing data accurately and drawing valid conclusions from it. Furthermore, a research proposal helps to define the scope of a particular project. It identifies any methodological challenges associated with it, develops strategies to address them, and assesses any risks posed by external factors.

Shows Feasibility

A third purpose of a research proposal is to show the feasibility of your study. Through your research proposal’s methodology, you can convince evaluators that your research goal is attainable. Not every study is feasible or can be done, but research proposals serve as proof of its feasibility.

Shows Relevance

A research proposal is an important document that outlines the relevance of a proposed study. It helps to demonstrate how the project will contribute to existing knowledge and understanding in the field. It also explains its potential impact on society. The proposal should explain why the topic is worth researching and what new insights it could bring. This includes outlining gaps in current knowledge that the research aims to fill and demonstrating how it relates to other studies in the area. The proposal should also provide evidence of the practical applications of the research, such as how it might benefit individuals or organizations.

Final Thoughts

Finally, writing a research proposal requires intense preparation in terms of time and effort. The  purpose of a proposal cannot be narrowed down to a single purpose. It serves multiple purposes. Through the proposal, researchers can analyze problems more thoroughly. It helps clarify their thoughts and helps them get a deeper understanding of their topic area before commencing their projects.

Abir Ghenaiet

Abir is a data analyst and researcher. Among her interests are artificial intelligence, machine learning, and natural language processing. As a humanitarian and educator, she actively supports women in tech and promotes diversity.

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The critical steps for successful research: The research proposal and scientific writing: (A report on the pre-conference workshop held in conjunction with the 64 th annual conference of the Indian Pharmaceutical Congress-2012)

Pitchai balakumar.

Pharmacology Unit, Faculty of Pharmacy, AIMST University, Semeling, 08100 Bedong. Kedah Darul Aman, Malaysia

Mohammed Naseeruddin Inamdar

1 Department of Pharmacology, Al-Ameen College of Pharmacy, Bengaluru, Karnataka, India

Gowraganahalli Jagadeesh

2 Division of Cardiovascular and Renal Products, Center for Drug Evaluation and Research, US Food and Drug Administration, Silver Spring, USA

An interactive workshop on ‘The Critical Steps for Successful Research: The Research Proposal and Scientific Writing’ was conducted in conjunction with the 64 th Annual Conference of the Indian Pharmaceutical Congress-2012 at Chennai, India. In essence, research is performed to enlighten our understanding of a contemporary issue relevant to the needs of society. To accomplish this, a researcher begins search for a novel topic based on purpose, creativity, critical thinking, and logic. This leads to the fundamental pieces of the research endeavor: Question, objective, hypothesis, experimental tools to test the hypothesis, methodology, and data analysis. When correctly performed, research should produce new knowledge. The four cornerstones of good research are the well-formulated protocol or proposal that is well executed, analyzed, discussed and concluded. This recent workshop educated researchers in the critical steps involved in the development of a scientific idea to its successful execution and eventual publication.

INTRODUCTION

Creativity and critical thinking are of particular importance in scientific research. Basically, research is original investigation undertaken to gain knowledge and understand concepts in major subject areas of specialization, and includes the generation of ideas and information leading to new or substantially improved scientific insights with relevance to the needs of society. Hence, the primary objective of research is to produce new knowledge. Research is both theoretical and empirical. It is theoretical because the starting point of scientific research is the conceptualization of a research topic and development of a research question and hypothesis. Research is empirical (practical) because all of the planned studies involve a series of observations, measurements, and analyses of data that are all based on proper experimental design.[ 1 – 9 ]

The subject of this report is to inform readers of the proceedings from a recent workshop organized by the 64 th Annual conference of the ‘ Indian Pharmaceutical Congress ’ at SRM University, Chennai, India, from 05 to 06 December 2012. The objectives of the workshop titled ‘The Critical Steps for Successful Research: The Research Proposal and Scientific Writing,’ were to assist participants in developing a strong fundamental understanding of how best to develop a research or study protocol, and communicate those research findings in a conference setting or scientific journal. Completing any research project requires meticulous planning, experimental design and execution, and compilation and publication of findings in the form of a research paper. All of these are often unfamiliar to naïve researchers; thus, the purpose of this workshop was to teach participants to master the critical steps involved in the development of an idea to its execution and eventual publication of the results (See the last section for a list of learning objectives).

THE STRUCTURE OF THE WORKSHOP

The two-day workshop was formatted to include key lectures and interactive breakout sessions that focused on protocol development in six subject areas of the pharmaceutical sciences. This was followed by sessions on scientific writing. DAY 1 taught the basic concepts of scientific research, including: (1) how to formulate a topic for research and to describe the what, why , and how of the protocol, (2) biomedical literature search and review, (3) study designs, statistical concepts, and result analyses, and (4) publication ethics. DAY 2 educated the attendees on the basic elements and logistics of writing a scientific paper and thesis, and preparation of poster as well as oral presentations.

The final phase of the workshop was the ‘Panel Discussion,’ including ‘Feedback/Comments’ by participants. There were thirteen distinguished speakers from India and abroad. Approximately 120 post-graduate and pre-doctoral students, young faculty members, and scientists representing industries attended the workshop from different parts of the country. All participants received a printed copy of the workshop manual and supporting materials on statistical analyses of data.

THE BASIC CONCEPTS OF RESEARCH: THE KEY TO GETTING STARTED IN RESEARCH

A research project generally comprises four key components: (1) writing a protocol, (2) performing experiments, (3) tabulating and analyzing data, and (4) writing a thesis or manuscript for publication.

Fundamentals in the research process

A protocol, whether experimental or clinical, serves as a navigator that evolves from a basic outline of the study plan to become a qualified research or grant proposal. It provides the structural support for the research. Dr. G. Jagadeesh (US FDA), the first speaker of the session, spoke on ‘ Fundamentals in research process and cornerstones of a research project .’ He discussed at length the developmental and structural processes in preparing a research protocol. A systematic and step-by-step approach is necessary in planning a study. Without a well-designed protocol, there would be a little chance for successful completion of a research project or an experiment.

Research topic

The first and the foremost difficult task in research is to identify a topic for investigation. The research topic is the keystone of the entire scientific enterprise. It begins the project, drives the entire study, and is crucial for moving the project forward. It dictates the remaining elements of the study [ Table 1 ] and thus, it should not be too narrow or too broad or unfocused. Because of these potential pitfalls, it is essential that a good or novel scientific idea be based on a sound concept. Creativity, critical thinking, and logic are required to generate new concepts and ideas in solving a research problem. Creativity involves critical thinking and is associated with generating many ideas. Critical thinking is analytical, judgmental, and involves evaluating choices before making a decision.[ 4 ] Thus, critical thinking is convergent type thinking that narrows and refines those divergent ideas and finally settles to one idea for an in-depth study. The idea on which a research project is built should be novel, appropriate to achieve within the existing conditions, and useful to the society at large. Therefore, creativity and critical thinking assist biomedical scientists in research that results in funding support, novel discovery, and publication.[ 1 , 4 ]

Elements of a study protocol

Research question

The next most crucial aspect of a study protocol is identifying a research question. It should be a thought-provoking question. The question sets the framework. It emerges from the title, findings/results, and problems observed in previous studies. Thus, mastering the literature, attendance at conferences, and discussion in journal clubs/seminars are sources for developing research questions. Consider the following example in developing related research questions from the research topic.

Hepatoprotective activity of Terminalia arjuna and Apium graveolens on paracetamol-induced liver damage in albino rats.

How is paracetamol metabolized in the body? Does it involve P450 enzymes? How does paracetamol cause liver injury? What are the mechanisms by which drugs can alleviate liver damage? What biochemical parameters are indicative of liver injury? What major endogenous inflammatory molecules are involved in paracetamol-induced liver damage?

A research question is broken down into more precise objectives. The objectives lead to more precise methods and definition of key terms. The objectives should be SMART-Specific, Measurable, Achievable, Realistic, Time-framed,[ 10 ] and should cover the entire breadth of the project. The objectives are sometimes organized into hierarchies: Primary, secondary, and exploratory; or simply general and specific. Study the following example:

To evaluate the safety and tolerability of single oral doses of compound X in normal volunteers.

To assess the pharmacokinetic profile of compound X following single oral doses.

To evaluate the incidence of peripheral edema reported as an adverse event.

The objectives and research questions are then formulated into a workable or testable hypothesis. The latter forces us to think carefully about what comparisons will be needed to answer the research question, and establishes the format for applying statistical tests to interpret the results. The hypothesis should link a process to an existing or postulated biologic pathway. A hypothesis is written in a form that can yield measurable results. Studies that utilize statistics to compare groups of data should have a hypothesis. Consider the following example:

• The hepatoprotective activity of Terminalia arjuna is superior to that of Apium graveolens against paracetamol-induced liver damage in albino rats.

All biological research, including discovery science, is hypothesis-driven. However, not all studies need be conducted with a hypothesis. For example, descriptive studies (e.g., describing characteristics of a plant, or a chemical compound) do not need a hypothesis.[ 1 ]

Relevance of the study

Another important section to be included in the protocol is ‘significance of the study.’ Its purpose is to justify the need for the research that is being proposed (e.g., development of a vaccine for a disease). In summary, the proposed study should demonstrate that it represents an advancement in understanding and that the eventual results will be meaningful, contribute to the field, and possibly even impact society.

Biomedical literature

A literature search may be defined as the process of examining published sources of information on a research or review topic, thesis, grant application, chemical, drug, disease, or clinical trial, etc. The quantity of information available in print or electronically (e.g., the internet) is immense and growing with time. A researcher should be familiar with the right kinds of databases and search engines to extract the needed information.[ 3 , 6 ]

Dr. P. Balakumar (Institute of Pharmacy, Rajendra Institute of Technology and Sciences, Sirsa, Haryana; currently, Faculty of Pharmacy, AIMST University, Malaysia) spoke on ‘ Biomedical literature: Searching, reviewing and referencing .’ He schematically explained the basis of scientific literature, designing a literature review, and searching literature. After an introduction to the genesis and diverse sources of scientific literature searches, the use of PubMed, one of the premier databases used for biomedical literature searches world-wide, was illustrated with examples and screenshots. Several companion databases and search engines are also used for finding information related to health sciences, and they include Embase, Web of Science, SciFinder, The Cochrane Library, International Pharmaceutical Abstracts, Scopus, and Google Scholar.[ 3 ] Literature searches using alternative interfaces for PubMed such as GoPubMed, Quertle, PubFocus, Pubget, and BibliMed were discussed. The participants were additionally informed of databases on chemistry, drugs and drug targets, clinical trials, toxicology, and laboratory animals (reviewed in ref[ 3 ]).

Referencing and bibliography are essential in scientific writing and publication.[ 7 ] Referencing systems are broadly classified into two major types, such as Parenthetical and Notation systems. Parenthetical referencing is also known as Harvard style of referencing, while Vancouver referencing style and ‘Footnote’ or ‘Endnote’ are placed under Notation referencing systems. The participants were educated on each referencing system with examples.

Bibliography management

Dr. Raj Rajasekaran (University of California at San Diego, CA, USA) enlightened the audience on ‘ bibliography management ’ using reference management software programs such as Reference Manager ® , Endnote ® , and Zotero ® for creating and formatting bibliographies while writing a manuscript for publication. The discussion focused on the use of bibliography management software in avoiding common mistakes such as incomplete references. Important steps in bibliography management, such as creating reference libraries/databases, searching for references using PubMed/Google scholar, selecting and transferring selected references into a library, inserting citations into a research article and formatting bibliographies, were presented. A demonstration of Zotero®, a freely available reference management program, included the salient features of the software, adding references from PubMed using PubMed ID, inserting citations and formatting using different styles.

Writing experimental protocols

The workshop systematically instructed the participants in writing ‘ experimental protocols ’ in six disciplines of Pharmaceutical Sciences.: (1) Pharmaceutical Chemistry (presented by Dr. P. V. Bharatam, NIPER, Mohali, Punjab); (2) Pharmacology (presented by Dr. G. Jagadeesh and Dr. P. Balakumar); (3) Pharmaceutics (presented by Dr. Jayant Khandare, Piramal Life Sciences, Mumbai); (4) Pharmacy Practice (presented by Dr. Shobha Hiremath, Al-Ameen College of Pharmacy, Bengaluru); (5) Pharmacognosy and Phytochemistry (presented by Dr. Salma Khanam, Al-Ameen College of Pharmacy, Bengaluru); and (6) Pharmaceutical Analysis (presented by Dr. Saranjit Singh, NIPER, Mohali, Punjab). The purpose of the research plan is to describe the what (Specific Aims/Objectives), why (Background and Significance), and how (Design and Methods) of the proposal.

The research plan should answer the following questions: (a) what do you intend to do; (b) what has already been done in general, and what have other researchers done in the field; (c) why is this worth doing; (d) how is it innovative; (e) what will this new work add to existing knowledge; and (f) how will the research be accomplished?

In general, the format used by the faculty in all subjects is shown in Table 2 .

Elements of a research protocol

Biostatistics

Biostatistics is a key component of biomedical research. Highly reputed journals like The Lancet, BMJ, Journal of the American Medical Association, and many other biomedical journals include biostatisticians on their editorial board or reviewers list. This indicates that a great importance is given for learning and correctly employing appropriate statistical methods in biomedical research. The post-lunch session on day 1 of the workshop was largely committed to discussion on ‘ Basic biostatistics .’ Dr. R. Raveendran (JIPMER, Puducherry) and Dr. Avijit Hazra (PGIMER, Kolkata) reviewed, in parallel sessions, descriptive statistics, probability concepts, sample size calculation, choosing a statistical test, confidence intervals, hypothesis testing and ‘ P ’ values, parametric and non-parametric statistical tests, including analysis of variance (ANOVA), t tests, Chi-square test, type I and type II errors, correlation and regression, and summary statistics. This was followed by a practice and demonstration session. Statistics CD, compiled by Dr. Raveendran, was distributed to the participants before the session began and was demonstrated live. Both speakers worked on a variety of problems that involved both clinical and experimental data. They discussed through examples the experimental designs encountered in a variety of studies and statistical analyses performed for different types of data. For the benefit of readers, we have summarized statistical tests applied frequently for different experimental designs and post-hoc tests [ Figure 1 ].

Conceptual framework for statistical analyses of data. Of the two kinds of variables, qualitative (categorical) and quantitative (numerical), qualitative variables (nominal or ordinal) are not normally distributed. Numerical data that come from normal distributions are analyzed using parametric tests, if not; the data are analyzed using non-parametric tests. The most popularly used Student's t -test compares the means of two populations, data for this test could be paired or unpaired. One-way analysis of variance (ANOVA) is used to compare the means of three or more independent populations that are normally distributed. Applying t test repeatedly in pair (multiple comparison), to compare the means of more than two populations, will increase the probability of type I error (false positive). In this case, for proper interpretation, we need to adjust the P values. Repeated measures ANOVA is used to compare the population means if more than two observations coming from same subject over time. The null hypothesis is rejected with a ‘ P ’ value of less than 0.05, and the difference in population means is considered to be statistically significant. Subsequently, appropriate post-hoc tests are used for pairwise comparisons of population means. Two-way or three-way ANOVA are considered if two (diet, dose) or three (diet, dose, strain) independent factors, respectively, are analyzed in an experiment (not described in the Figure). Categorical nominal unmatched variables (counts or frequencies) are analyzed by Chi-square test (not shown in the Figure)

Research and publication ethics

The legitimate pursuit of scientific creativity is unfortunately being marred by a simultaneous increase in scientific misconduct. A disproportionate share of allegations involves scientists of many countries, and even from respected laboratories. Misconduct destroys faith in science and scientists and creates a hierarchy of fraudsters. Investigating misconduct also steals valuable time and resources. In spite of these facts, most researchers are not aware of publication ethics.

Day 1 of the workshop ended with a presentation on ‘ research and publication ethics ’ by Dr. M. K. Unnikrishnan (College of Pharmaceutical Sciences, Manipal University, Manipal). He spoke on the essentials of publication ethics that included plagiarism (attempting to take credit of the work of others), self-plagiarism (multiple publications by an author on the same content of work with slightly different wordings), falsification (manipulation of research data and processes and omitting critical data or results), gift authorship (guest authorship), ghostwriting (someone other than the named author (s) makes a major contribution), salami publishing (publishing many papers, with minor differences, from the same study), and sabotage (distracting the research works of others to halt their research completion). Additionally, Dr. Unnikrishnan pointed out the ‘ Ingelfinger rule ’ of stipulating that a scientist must not submit the same original research in two different journals. He also advised the audience that authorship is not just credit for the work but also responsibility for scientific contents of a paper. Although some Indian Universities are instituting preventive measures (e.g., use of plagiarism detecting software, Shodhganga digital archiving of doctoral theses), Dr. Unnikrishnan argued for a great need to sensitize young researchers on the nature and implications of scientific misconduct. Finally, he discussed methods on how editors and peer reviewers should ethically conduct themselves while managing a manuscript for publication.

SCIENTIFIC COMMUNICATION: THE KEY TO SUCCESSFUL SELLING OF FINDINGS

Research outcomes are measured through quality publications. Scientists must not only ‘do’ science but must ‘write’ science. The story of the project must be told in a clear, simple language weaving in previous work done in the field, answering the research question, and addressing the hypothesis set forth at the beginning of the study. Scientific publication is an organic process of planning, researching, drafting, revising, and updating the current knowledge for future perspectives. Writing a research paper is no easier than the research itself. The lectures of Day 2 of the workshop dealt with the basic elements and logistics of writing a scientific paper.

An overview of paper structure and thesis writing

Dr. Amitabh Prakash (Adis, Auckland, New Zealand) spoke on ‘ Learning how to write a good scientific paper .’ His presentation described the essential components of an original research paper and thesis (e.g., introduction, methods, results, and discussion [IMRaD]) and provided guidance on the correct order, in which data should appear within these sections. The characteristics of a good abstract and title and the creation of appropriate key words were discussed. Dr. Prakash suggested that the ‘title of a paper’ might perhaps have a chance to make a good impression, and the title might be either indicative (title that gives the purpose of the study) or declarative (title that gives the study conclusion). He also suggested that an abstract is a succinct summary of a research paper, and it should be specific, clear, and concise, and should have IMRaD structure in brief, followed by key words. Selection of appropriate papers to be cited in the reference list was also discussed. Various unethical authorships were enumerated, and ‘The International Committee of Medical Journal Editors (ICMJE) criteria for authorship’ was explained ( http://www.icmje.org/ethical_1author.html ; also see Table 1 in reference #9). The session highlighted the need for transparency in medical publication and provided a clear description of items that needed to be included in the ‘Disclosures’ section (e.g., sources of funding for the study and potential conflicts of interest of all authors, etc.) and ‘Acknowledgements’ section (e.g., writing assistance and input from all individuals who did not meet the authorship criteria). The final part of the presentation was devoted to thesis writing, and Dr. Prakash provided the audience with a list of common mistakes that are frequently encountered when writing a manuscript.

The backbone of a study is description of results through Text, Tables, and Figures. Dr. S. B. Deshpande (Institute of Medical Sciences, Banaras Hindu University, Varanasi, India) spoke on ‘ Effective Presentation of Results .’ The Results section deals with the observations made by the authors and thus, is not hypothetical. This section is subdivided into three segments, that is, descriptive form of the Text, providing numerical data in Tables, and visualizing the observations in Graphs or Figures. All these are arranged in a sequential order to address the question hypothesized in the Introduction. The description in Text provides clear content of the findings highlighting the observations. It should not be the repetition of facts in tables or graphs. Tables are used to summarize or emphasize descriptive content in the text or to present the numerical data that are unrelated. Illustrations should be used when the evidence bearing on the conclusions of a paper cannot be adequately presented in a written description or in a Table. Tables or Figures should relate to each other logically in sequence and should be clear by themselves. Furthermore, the discussion is based entirely on these observations. Additionally, how the results are applied to further research in the field to advance our understanding of research questions was discussed.

Dr. Peush Sahni (All-India Institute of Medical Sciences, New Delhi) spoke on effectively ‘ structuring the Discussion ’ for a research paper. The Discussion section deals with a systematic interpretation of study results within the available knowledge. He said the section should begin with the most important point relating to the subject studied, focusing on key issues, providing link sentences between paragraphs, and ensuring the flow of text. Points were made to avoid history, not repeat all the results, and provide limitations of the study. The strengths and novel findings of the study should be provided in the discussion, and it should open avenues for future research and new questions. The Discussion section should end with a conclusion stating the summary of key findings. Dr. Sahni gave an example from a published paper for writing a Discussion. In another presentation titled ‘ Writing an effective title and the abstract ,’ Dr. Sahni described the important components of a good title, such as, it should be simple, concise, informative, interesting and eye-catching, accurate and specific about the paper's content, and should state the subject in full indicating study design and animal species. Dr. Sahni explained structured (IMRaD) and unstructured abstracts and discussed a few selected examples with the audience.

Language and style in publication

The next lecture of Dr. Amitabh Prakash on ‘ Language and style in scientific writing: Importance of terseness, shortness and clarity in writing ’ focused on the actual sentence construction, language, grammar and punctuation in scientific manuscripts. His presentation emphasized the importance of brevity and clarity in the writing of manuscripts describing biomedical research. Starting with a guide to the appropriate construction of sentences and paragraphs, attendees were given a brief overview of the correct use of punctuation with interactive examples. Dr. Prakash discussed common errors in grammar and proactively sought audience participation in correcting some examples. Additional discussion was centered on discouraging the use of redundant and expendable words, jargon, and the use of adjectives with incomparable words. The session ended with a discussion of words and phrases that are commonly misused (e.g., data vs . datum, affect vs . effect, among vs . between, dose vs . dosage, and efficacy/efficacious vs . effective/effectiveness) in biomedical research manuscripts.

Working with journals

The appropriateness in selecting the journal for submission and acceptance of the manuscript should be determined by the experience of an author. The corresponding author must have a rationale in choosing the appropriate journal, and this depends upon the scope of the study and the quality of work performed. Dr. Amitabh Prakash spoke on ‘ Working with journals: Selecting a journal, cover letter, peer review process and impact factor ’ by instructing the audience in assessing the true value of a journal, understanding principles involved in the peer review processes, providing tips on making an initial approach to the editorial office, and drafting an appropriate cover letter to accompany the submission. His presentation defined the metrics that are most commonly used to measure journal quality (e.g., impact factor™, Eigenfactor™ score, Article Influence™ score, SCOPUS 2-year citation data, SCImago Journal Rank, h-Index, etc.) and guided attendees on the relative advantages and disadvantages of using each metric. Factors to consider when assessing journal quality were discussed, and the audience was educated on the ‘green’ and ‘gold’ open access publication models. Various peer review models (e.g., double-blind, single-blind, non-blind) were described together with the role of the journal editor in assessing manuscripts and selecting suitable reviewers. A typical checklist sent to referees was shared with the attendees, and clear guidance was provided on the best way to address referee feedback. The session concluded with a discussion of the potential drawbacks of the current peer review system.

Poster and oral presentations at conferences

Posters have become an increasingly popular mode of presentation at conferences, as it can accommodate more papers per meeting, has no time constraint, provides a better presenter-audience interaction, and allows one to select and attend papers of interest. In Figure 2 , we provide instructions, design, and layout in preparing a scientific poster. In the final presentation, Dr. Sahni provided the audience with step-by-step instructions on how to write and format posters for layout, content, font size, color, and graphics. Attendees were given specific guidance on the format of text on slides, the use of color, font type and size, and the use of illustrations and multimedia effects. Moreover, the importance of practical tips while delivering oral or poster presentation was provided to the audience, such as speak slowly and clearly, be informative, maintain eye contact, and listen to the questions from judges/audience carefully before coming up with an answer.

Guidelines and design to scientific poster presentation. The objective of scientific posters is to present laboratory work in scientific meetings. A poster is an excellent means of communicating scientific work, because it is a graphic representation of data. Posters should have focus points, and the intended message should be clearly conveyed through simple sections: Text, Tables, and Graphs. Posters should be clear, succinct, striking, and eye-catching. Colors should be used only where necessary. Use one font (Arial or Times New Roman) throughout. Fancy fonts should be avoided. All headings should have font size of 44, and be in bold capital letters. Size of Title may be a bit larger; subheading: Font size of 36, bold and caps. References and Acknowledgments, if any, should have font size of 24. Text should have font size between 24 and 30, in order to be legible from a distance of 3 to 6 feet. Do not use lengthy notes

PANEL DISCUSSION: FEEDBACK AND COMMENTS BY PARTICIPANTS

After all the presentations were made, Dr. Jagadeesh began a panel discussion that included all speakers. The discussion was aimed at what we do currently and could do in the future with respect to ‘developing a research question and then writing an effective thesis proposal/protocol followed by publication.’ Dr. Jagadeesh asked the following questions to the panelists, while receiving questions/suggestions from the participants and panelists.

• Does a Post-Graduate or Ph.D. student receive adequate training, either through an institutional course, a workshop of the present nature, or from the guide?
• Are these Post-Graduates self-taught (like most of us who learnt the hard way)?
• How are these guides trained? How do we train them to become more efficient mentors?
• Does a Post-Graduate or Ph.D. student struggle to find a method (s) to carry out studies? To what extent do seniors/guides help a post graduate overcome technical difficulties? How difficult is it for a student to find chemicals, reagents, instruments, and technical help in conducting studies?
• Analyses of data and interpretation: Most students struggle without adequate guidance.
• Thesis and publications frequently feature inadequate/incorrect statistical analyses and representation of data in tables/graphs. The student, their guide, and the reviewers all share equal responsibility.
• Who initiates and drafts the research paper? The Post-Graduate or their guide?
• What kind of assistance does a Post-Graduate get from the guide in finalizing a paper for publication?
• Does the guide insist that each Post-Graduate thesis yield at least one paper, and each Ph.D. thesis more than two papers, plus a review article?

The panelists and audience expressed a variety of views, but were unable to arrive at a decisive conclusion.

WHAT HAVE THE PARTICIPANTS LEARNED?

At the end of this fast-moving two-day workshop, the participants had opportunities in learning the following topics:

• Sequential steps in developing a study protocol, from choosing a research topic to developing research questions and a hypothesis.
• Study protocols on different topics in their subject of specialization
• Searching and reviewing the literature
• Appropriate statistical analyses in biomedical research
• Scientific ethics in publication
• Writing and understanding the components of a research paper (IMRaD)
• Recognizing the value of good title, running title, abstract, key words, etc
• Importance of Tables and Figures in the Results section, and their importance in describing findings
• Evidence-based Discussion in a research paper
• Language and style in writing a paper and expert tips on getting it published
• Presentation of research findings at a conference (oral and poster).

Overall, the workshop was deemed very helpful to participants. The participants rated the quality of workshop from “ satisfied ” to “ very satisfied .” A significant number of participants were of the opinion that the time allotted for each presentation was short and thus, be extended from the present two days to four days with adequate time to ask questions. In addition, a ‘hands-on’ session should be introduced for writing a proposal and manuscript. A large number of attendees expressed their desire to attend a similar workshop, if conducted, in the near future.

ACKNOWLEDGMENT

We gratefully express our gratitude to the Organizing Committee, especially Professors K. Chinnasamy, B. G. Shivananda, N. Udupa, Jerad Suresh, Padma Parekh, A. P. Basavarajappa, Mr. S. V. Veerramani, Mr. J. Jayaseelan, and all volunteers of the SRM University. We thank Dr. Thomas Papoian (US FDA) for helpful comments on the manuscript.

The opinions expressed herein are those of Gowraganahalli Jagadeesh and do not necessarily reflect those of the US Food and Drug Administration

Source of Support: Nil

Conflict of Interest: None declared.

Writing a Research Proposal

Parts of a research proposal, prosana model, introduction, research question, methodology.

• Structure of a Research Proposal
• Common Proposal Writing Mistakes
• Proposal Writing Resources

A research proposal's purpose is to capture the evaluator's attention, demonstrate the study's potential benefits, and prove that it is a logical and consistent approach (Van Ekelenburg, 2010).  To ensure that your research proposal contains these elements, there are several aspects to include in your proposal (Al-Riyami, 2008):

• Objective(s)
• Variables (independent and dependent)
• Research Question and/or hypothesis

Details about what to include in each element are included in the boxes below.  Depending on the topic of your study, some parts may not apply to your proposal.  You can also watch the video below for a brief overview about writing a successful research proposal.

Van Ekelenburg (2010) uses the PROSANA Model to guide researchers in developing rationale and justification for their research projects.  It is an acronym that connects the problem, solution, and benefits of a particular research project.  It is an easy way to remember the critical parts of a research proposal and how they relate to one another.  It includes the following letters (Van Ekelenburg, 2010):

• Problem: Describing the main problem that the researcher is trying to solve.
• Root causes: Describing what is causing the problem.  Why is the topic an issue?
• fOcus: Narrowing down one of the underlying causes on which the researcher will focus for their research project.
• Solutions: Listing potential solutions or approaches to fix to the problem.  There could be more than one.
• Approach: Selecting the solution that the researcher will want to focus on.
• Novelty: Describing how the solution will address or solve the problem.
• Arguments: Explaining how the proposed solution will benefit the problem.

Research proposal titles should be concise and to the point, but informative.  The title of your proposal may be different from the title of your final research project, but that is completely normal!  Your findings may help you come up with a title that is more fitting for the final project.  Characteristics of good proposal titles are (Al-Riyami, 2008):

• Catchy: It catches the reader's attention by peaking their interest.
• Positive: It spins your project in a positive way towards the reader.
• Transparent: It identifies the independent and dependent variables.

It is also common for proposal titles to be very similar to your research question, hypothesis, or thesis statement (Locke et al., 2007).

An abstract is a brief summary (about 300 words) of the study you are proposing.  It includes the following elements (Al-Riyami, 2008):

• Your primary research question(s).
• Hypothesis or main argument.
• Method you will use to complete the study.  This may include the design, sample population, or measuring instruments that you plan to use.

Our guide on writing summaries may help you with this step.

• Writing a Summary by Luann Edwards Last Updated May 22, 2023 2568 views this year

The purpose of the introduction is to give readers background information about your topic.  it gives the readers a basic understanding of your topic so that they can further understand the significance of your proposal.  A good introduction will explain (Al-Riyami, 2008):

• How it relates to other research done on the topic
• Why your research is significant to the field
• The relevance of your study

Your research objectives are the desired outcomes that you will achieve from the research project.  Depending on your research design, these may be generic or very specific.  You may also have more than one objective (Al-Riyami, 2008).

• General objectives are what the research project will accomplish
• Specific objectives relate to the research questions that the researcher aims to answer through the study.

Be careful not to have too many objectives in your proposal, as having too many can make your project lose focus.  Plus, it may not be possible to achieve several objectives in one study.

This section describes the different types of variables that you plan to have in your study and how you will measure them.  According to Al-Riyami (2008), there are four types of research variables:

• Independent:  The person, object, or idea that is manipulated by the researcher.
• Dependent:  The person, object, or idea whose changes are dependent upon the independent variable.  Typically, it is the item that the researcher is measuring for the study.
• Confounding/Intervening:  Factors that may influence the effect of the independent variable on the dependent variable.  These include physical and mental barriers.  Not every study will have intervening variables, but they should be studied if applicable.
• Background:   Factors that are relevant to the study's data and how it can be generalized.  Examples include demographic information such as age, sex, and ethnicity.

Your research proposal should describe each of your variables and how they relate to one another.  Depending on your study, you may not have all four types of variables present.  However, there will always be an independent and dependent variable.

A research question is the main piece of your research project because it explains what your study will discover to the reader.  It is the question that fuels the study, so it is important for it to be precise and unique.  You do not want it to be too broad, and it should identify a relationship between two variables (an independent and a dependent) (Al-Riyami, 2008).  There are six types of research questions (Academic Writer, n.d.):

• Example: "Do people get nervous before speaking in front of an audience?"
• Example: "What are the study habits of college freshmen at Tiffin University?"
• Example: "What primary traits create a successful romantic relationship?"
• Example: "Is there a relationship between a child's performance in school and their parents' socioeconomic status?"
• Example: "Are high school seniors more motivated than high school freshmen?"
• Example: "Do news media outlets impact a person's political opinions?"

For more information on the different types of research questions, you can view the "Research Questions and Hypotheses" tutorial on Academic Writer, located below.  If you are unfamiliar with Academic Writer, we also have a tutorial on using the database located below.

Compose papers in pre-formatted APA templates. Manage references in forms that help craft APA citations. Learn the rules of APA style through tutorials and practice quizzes.

Academic Writer will continue to use the 6th edition guidelines until August 2020. A preview of the 7th edition is available in the footer of the resource's site. Previously known as APA Style Central.

• Academic Writer Tutorial by Pfeiffer Library Last Updated May 22, 2023 34065 views this year

If you know enough about your research topic that you believe a particular outcome may occur as a result of the study, you can include a hypothesis (thesis statement) in your proposal.  A hypothesis is a prediction that you believe will be the outcome of your study.  It explains what you think the relationship will be between the independent and dependent variable (Al-Riyami, 2008).  It is ok if the hypothesis in your proposal turns out to be incorrect, because it is only a prediction!  If you are writing a proposal in the humanities, you may be writing a thesis statement instead of a hypothesis.  A thesis presents the main argument of your research project and leads to corresponding evidence to support your argument.

Hypotheses vs. Theories

Hypotheses are different from theories in that theories represent general principles and sets of rules that explain different phenomena.  They typically represent large areas of study because they are applicable to anything in a particular field.  Hypotheses focus on specific areas within a field and are educated guesses, meaning that they have the potential to be proven wrong (Academic Writer, n.d.).  Because of this, hypotheses can also be formed from theories.

For more information on writing effective thesis statements, you can view our guide on writing thesis statements below.

• Writing Effective Thesis Statements by Luann Edwards Last Updated May 23, 2023 474 views this year

In a research proposal, you must thoroughly explain how you will conduct your study.  This includes things such as (Al-Riyami, 2008):

• Research design:  What research approach will your study take?  Will it be quantitative or qualitative?
• Research subjects/participants:  Who will be participating in your study?  Does your study require human participants?  How will you determine who to study?
• Sample size:  How many participants will your study require?  If you are not using human participants, how much of the sample will you be studying?
• Timeline:  A proposed list of the general tasks and events that you plan to complete the study.  This will include a time frame for each task/event and the order in which they will be completed.
• Interventions:  If you plan on using anything on human participants for the study, you must include information it here.  This is especially important if you plan on using any substances on human subjects.
• Ethical issues:  Are there any potential ethical issues surrounding this study?
• Potential limitations:  Are there any limitations that could skew the data and findings from your study?
• Appendixes:  If you need to present any consent forms, interview questions, surveys, questionnaires, or other items that will be used in your study, you should include samples of each item with an appendix to reference them.  If you are using a copyrighted document, you may need written permission from the original creator to use it in your study.  A copy of the written permission should be included in your proposal.
• Setting:  Where will you be conducting the study?
• Study instruments:  What measuring tools or computer software will you be using to collect data?  How will you collect the data?
• How you will analyze the data:  What strategies or tools will you use to analyze the data you collect?
• Quality control:  Will you have precautions in place to ensure that the study is conducted consistently and that outside factors will not skew the data?
• Budget:  What type of funding will you need for your study?  This will include the funds needed to afford measuring tools, software, etc.
• How you will share the study's findings:  What will you plan to do with the findings?
• Significance of the study: How will your study expand on existing knowledge of the subject area?

For more information on research methodologies, you can view our guide on research methods and methodologies below.

• Research Methodologies by Pfeiffer Library Last Updated Aug 2, 2022 40625 views this year
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Research Proposal Sample

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This piece contains information about the research proposal sample, which is mostly the basics you need to know about the same. If you are a college student or a scholar, you can learn what needs to be included in your research proposal sample to make it more appealing and even win a sponsorship.

Inhaltsverzeichnis

• 1 Definition of a Research Proposal Sample
• 4 Bachelor/Master Thesis
• 6 In a nutshell

Definition of a Research Proposal Sample

Before going deeper into the key objective of this piece, let us take a look at the definition of a research proposal sample . First of all, a research proposal sample is a document that is created by college students and scholars to propose a research project. Most of the time, this document is used to request for sponsorship for the research mentioned. Usually, before sponsorship is issued, the possible impact of that research is evaluated by the administrators of the relevant field.

College and university students are usually asked to write research proposals towards the end of their courses. A research proposal sample speak volumes about the intended research activity. Sadly, most students find themselves struggling to create top-quality research proposals to earn them high grades. In this guide, you will find everything you need to know about research proposal samples and how you can create one.

How do you write a research proposal sample?

The research proposal sample forms an integral part of your application, and there is a guide that you have to follow, regardless of what you intend to achieve with your research proposal sample. If you’d like some examples and more indepth tips, head over to ‘ Importance of Research Proposals in Academic Writing ‘.

Tip: Your research proposal sample should be around 2,000 – 3,500 words in length (this translates to 3-5 pages).

How do you write a master’s thesis for your research proposal sample?

These are handled the same way that you would handle any other research proposal sample. What is always looked at is the quality and relevance of your research proposal sample. If you’re running a bit low on motivation for writing your thesis, visit our blog article ‘The Guide to Writing a Good Thesis’ . Regardless of the education level, you are focusing on; you need to keep your research proposal within the guidelines mentioned on this page.

Can I see a research proposal example?

Yes!  Visit our blog article   ‘ Research Proposal Example ‘ or alternatively, simply scroll down! However, when looking at examples, be sure not to copy their phrasing or ideas. Simply take a look at the structure and the ‘type’ of phrasing that is used.

What should a research proposal sample include?

First of all, you’ll need an eye-catching title. Then you’ll need the background information that is nescessary for the reader to understand what your proposal is about. Then you need the research methods, research questions, your hypothesis and many more details. If you’re having trouble getting started, you can find some tips about overcoming writer’s block simply by following the link.

What are the steps for writing a research proposal sample?

First, make sure that you’ve carried out enough research. You don’t want to get half way through your research topic proposal and then realise that there’s not enough material for you to work with. Make sure that you clearly state the problem that you’re going to address with your research and give any nescessary background information that the reader may need. Your hypothesis also needs to be clear and consistent throughout. Once you’re finished, it’ll be time to submit your research proposal. Decide how you want to format it and then print it at home, or in a print shop.

Your proposal should include the following:

Your title should give a clear indication of your proposed research approach or key question.

2. RESEARCH BACKGROUND

You should include:

• the issues and the background of your proposed research
• identify your discipline
• a short literature review

3. RESEARCH QUESTION(S)

Make sure to formulate these clearly, giving an explanation as to what problems and issues you explored and why they are worth exploring.

4. RESEARCH METHODS

Provide an outline of:

• the theoretical resources to be drawn on
• the research approaches
• the research methods appropriate for the proposed research
• a discussion of advantages as well as limits of approaches and methods

5. SIGNIFICANCE OF RESEARCH

The research proposal sample should demonstrate the originality of your intended research. Therefore, you should explain why your research is important.

6. BIBLIOGRAPHY

The research proposal sample should include a short bibliography identifying the most relevant works for your topic. You should include:

• a list of references to key articles and texts discussed within your research proposal sample
• a selection of sources appropriate to the proposed research

Bachelor/Master Thesis

How important is a Research Proposal Sample for academic writing ? A research proposal is a document often to fifteen pages that contains information on the proposed piece of research.

Benefits of Research Proposal Samples:

✓ It can save students a great deal of time in the long run.

✓ They are informative and persuasive and can be used to convince the reader to act.

✓ It can also be used to convince the reader that the issue at hand is impactful and that a solution is appropriate.

This is because the Research Proposal Sample contains things like:

✓ The proposed area of research

✓ The adequate amount of resources required for the project

✓ The most appropriate supervisor for the project

✓ It also displays the student’s ability to research and communicate professionally about the real issues impacting the community and environment.

Here is a Research Proposal Sample:

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In a nutshell

• A good research proposal sample is the backbone of the entire activity
• It must be kept as short and precise as possible
• It should be written in a plain language that can be understood by the readers
• The hypothesis helps to guide the study in the right direction
• Backup the claims with reliable sources, which are then listed as a bibliography at the bottom of the page
• Make sure that you take time to think about the issue at hand.
• Look for secondary sources of information and make sure that they are peer-reviewed. If you are not sure about anything, then there is no point mentioning it.
• After you have created a draft, go through it time and again and correct any errors that you might have made to achieve the required level of quality and originality.

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Evaluating AI Literacy in Academic Libraries: A Survey Study with a Focus on U.S. Employees

Leo S. Lo *

This survey investigates artificial intelligence (AI) literacy among academic library employees, predominantly in the United States, with a total of 760 respondents. The findings reveal a modest self-rated understanding of AI concepts, limited hands-on experience with AI tools, and notable gaps in discussing ethical implications and collaborating on AI projects. Despite recognizing the benefits, readiness for implementation appears low among participants. Respondents emphasize the need for comprehensive training and the establishment of ethical guidelines. The study proposes a framework defining core components of AI literacy tailored for libraries. The results offer insights to guide professional development and policy formulation as libraries increasingly integrate AI into their services and operations.

Introduction

In a world increasingly dictated by algorithms, artificial intelligence (AI) is not merely a technological phenomenon, it is a transformative force that redefines our intellectual, social, and professional landscapes (McKinsey and Company, 2023). The rapid integration of AI in our everyday lives has profound implications for higher education, a sector entrusted with preparing individuals to navigate, contribute to, and thrive in this AI-driven era. From personalized learning environments to automated administrative tasks, AI’s influence in higher education is omnipresent and its potential boundless. However, this potential can only be harnessed effectively if those at the frontline of academia—our educators, researchers, administrators, and, notably, academic library employees—are equipped with the necessary AI literacy (UNESCO, 2021). Without an understanding of AI’s principles, capabilities, and ethical considerations, higher education risks falling prey to AI’s pitfalls rather than leveraging its benefits.

The potential risks and benefits underscore a pressing need to scrutinize and elevate AI literacy within the higher education community—a task that begins with understanding its current state. As facilitators of information and knowledge, academic library employees stand at the crossroads of this AI revolution, making their AI literacy an imperative, not a choice, for the future of higher education.

AI Literacy: Context and Background

In an era marked by exponential growth in digital technology, the concept of literacy has evolved beyond traditional reading and writing skills to encompass a wide array of digital competencies. One such competency, which is gaining critical importance in higher education, is AI literacy. With AI systems beginning to permeate every facet of university operations—from learning management systems to research analytics—the ability to understand and navigate these AI tools has become an essential skill for academic library employees.

AI literacy, a subset of digital literacy, specifically pertains to understanding AI’s principles, applications, and ethical considerations. It involves not only the ability to use AI tools effectively, but also the capacity to evaluate their outputs critically, to understand their underlying mechanisms, and to contemplate their ethical and societal implications. AI literacy is not just for computer professionals; as Lo (2023b) and Cetindamar et al. (2022) emphasize, operationalizing AI literacy for non-specialists is essential.

The significance of AI literacy in higher education is underscored by several contemporary trends and challenges. Companies and governments globally are engaged in fierce competition to stay at the forefront of AI integration. Concurrently, the rapid proliferation of AI is giving rise to a host of ethical and privacy concerns that require informed stewardship (Cox, 2022). Furthermore, the COVID-19 pandemic has accelerated the digital transformation of higher education, leading to an increased reliance on AI technologies for remote learning and operations. This reliance further points to the necessity of AI literacy among academic library employees, who play a pivotal role in facilitating online learning and research.

As artificial intelligence proliferates across higher education, developing AI literacy is increasingly recognized as a priority to prepare students, faculty, staff, and administrators to harness AI’s potential, while mitigating risks (Ng et al., 2021). Hervieux and Wheatley’s (2021) 2019 study (n=163) found that academic librarians require more training regarding artificial intelligence and its potential applications in libraries. The U.S. Department of Education’s recent report (2023) on AI emphasizes the growing importance of AI literacy for educators and students, highlighting the necessity of understanding and integrating AI technologies in educational settings. This report aligns with the broader discourse on AI literacy and emphasizes the need to equip library professionals with skills needed to evaluate and utilize AI tools effectively (Lo, 2023a).

While efforts to promote AI literacy are growing, the required content for different target groups remains ambigu­ous. Some promising measurement tools have been proposed, such as Pinski and Benlian’s (2023) multidimensional scale assessing perceived knowledge of AI technology, processes, collaboration, and design. However, further validation of AI literacy assessments is required. Developing rigorous definitions and measurements is crucial for implementing effective AI literacy initiatives.

Ridley and Pawlick-Potts (2021) put forth the concept of algorithmic literacy, involving understanding algorithms and their influence, recognizing their uses, assessing their impacts, and positioning individuals as active agents rather than passive recipients of algorithmic decision-making. They propose libraries can contribute to algorithmic literacy by integrating it into information literacy education and supporting explainable AI.

Ocaña-Fernández et al. (2019) argued curriculum and skills training changes are critical to prepare students and faculty for an AI future, though also warn about digital inequality issues. Laupichler et al.’s (2022) scoping review reveals efforts to teach foundational AI literacy to non-specialists are still in formative stages. Proposed essential skills vary considerably across frameworks, and robust evaluations of AI literacy programs are lacking. Findings indicate that carefully designed AI literacy courses show promise for knowledge gains; however, research substantiating appropriate frameworks, core competencies and effective instructional approaches for diverse audiences remains an open need.

Within libraries, Heck et al. (2019) discussed the interplay of information literacy and AI. They propose that AI could aid information literacy teaching through timely feedback and tracking skill development, but note that common evaluation approaches would need establishing first. Information literacy empowers learners to actively engage with, not just passively consume from, AI systems. Lo (2023c) proposed a framework to utilize prompt engineering to enhance information literacy and critical thinking skills.

Oliphant (2015) examined intelligent agents for library reference services. The analysis found they rapidly retrieve information but lack human evaluation abilities. Findings suggest librarians will need to guide users in critically evaluating AI-generated results, indicating that information literacy instruction remains crucial. Furthermore, Lund et al. (2023) discuss the ethical implications of using large language models, such as ChatGPT, in scholarly publishing, emphasizing the need for ethical considerations and the potential impact of AI on research practices.

While research is still emerging, initial findings highlight the need for rigorous, tailored AI literacy initiatives encompassing technical skills, critical perspectives, and ethical considerations. As AI becomes further entwined with education and work, developing validated frameworks, assessments, and instructional approaches to enhance multidimensional AI literacy across contexts and roles is an urgent priority. This study seeks to contribute by investigating AI literacy specifically among academic library employees.

Purpose of the Study

The rapid pace of AI development and integration in higher education heightens the need to address this research gap. As AI continues to evolve and permeate further into academic libraries, the demand for AI-literate library employees will only increase. Failure to understand the current state of AI literacy, and to identify the gaps, could result in a significant skills deficit that would impedes the effective utilization of AI in academic libraries.

In light of this, the purpose of this study is to embark on an investigation of AI literacy among academic library employees. The study seeks to answer the following critical research questions:

• What is the current level of AI literacy among academic library employees?
• What gaps exist in their AI literacy, and how can these gaps be addressed through professional development and training programs?
• What are their perceptions of generative AI, and what implications do they foresee for the library profession?

By addressing these questions, this study aims to fill a research gap and provide insights that can inform policy and practice in higher education. It strives to shed light on the competencies that academic library employees possess, identify the gaps that need to be addressed, and propose strategies for enhancing AI literacy among this essential group of higher education professionals.

Theoretic Framework

The Technological Pedagogical Content Knowledge (TPACK) framework developed by Mishra and Koehler (2006) serves as the theoretical foundation for this study. TPACK has also been advocated as a useful decision-making structure for librarians evaluating instructional technologies (Sobel & Grotti, 2013).

Mishra and Koehler (2006) explain that TPACK involves flexible, context-specific application of technology, pedagogy, and content knowledge. It goes beyond isolated knowledge of the concepts to an integrated understanding. TPACK development requires moving past viewing technology as an “add-on” and focusing on the connections between technology, content, and pedagogy in particular educational contexts.

In the context of this study, the researcher applied the TPACK framework to examine AI literacy specifically among academic library professionals. The three key components of the TPACK framework are interpreted as:

• Technological Knowledge (TK)—Knowledge about AI itself, including its principles, capabilities, and limitations. This encompasses understanding AI as a technology and its potential applications in library settings.
• Pedagogical Knowledge (PK)—Knowledge about how AI can be used to enhance library services and facilitate learning. This relates to understanding how AI can be integrated into library services to improve user experience, streamline operations, and support learning.
• Content Knowledge (CK)—Knowledge about the library’s content and services. This involves perceiving the potential impact of AI on the library’s content and services, and how AI can enhance their management and delivery.

This tailored application of the TPACK framework will allow a multidimensional assessment of AI literacy among academic library employees. It facilitates examining employees’ understanding of AI as a technology (TK), perceptions of how AI can enhance library services (PK), and the potential impact of AI on the library’s content and services (CK).

Significance of the Study

The significance of this study lies in its potential to contribute to academic library policy, practice, and theory in several ways. Firstly, it utilizes the TPACK framework to evaluate AI literacy among academic library employees, identifying competencies, gaps, and necessary strategies. This insight is crucial for designing effective professional development programs, as well as for resource allocation. Secondly, it adds to the discourse on digital literacy in higher education by specifically focusing on AI literacy, aiding in understanding its role and implications. Thirdly, the study provides insights into the ethical, practical, and opportunity dimensions of AI technology integration in libraries, informing best practices and guidelines for its responsible use. Lastly, by applying the TPACK framework to AI literacy in libraries, the study expands its theoretical applications and offers a robust basis for future research in technology integration in academic settings.

Methodology

Research design.

This study employs a survey-based approach to explore AI literacy among academic library employees, chosen for its ability to quickly gather extensive data across a geographically diverse group. The method aligns with the TPACK framework, highlighting the integration of technological, pedagogical, and content knowledge. Surveys facilitate the collection of standardized data, allowing for comparisons across different roles and demographics. This design is particularly effective for descriptive research in higher education, making it suitable for assessing the current state of AI literacy in academic libraries.

Participants

The researcher utilized a comprehensive approach to recruit a diverse group of academic library employees for the survey. This involved posting on professional listservs across various roles and regions in librarianship (Appendix A), as well directly contacting directors of prominent library associations: the Association of Research Libraries (ARL), the Greater Western Library Alliance (GWLA), and the New Mexico Consortium of Academic Libraries (NMCAL). These organizations represent a broad spectrum of academic libraries in terms of size, location, and type. The directors were requested to share the survey with their staff, thus ensuring a wide-reaching and representative sample for the study.

Data Collection

Data collection was facilitated through a custom-designed survey instrument, which was built and administered using the Qualtrics platform (Appendix B). The survey itself was developed to address the study’s research questions and was structured into four main sections, each focusing on a specific aspect of AI literacy among academic library employees.

The first section sought to capture respondents’ understanding and knowledge of AI, including their familiarity with AI concepts and terminology. The second section focused on respondents’ practical skills and experiences with AI tools and applications in professional settings. The third section aimed to identify areas of AI literacy where respondents felt less confident, signaling potential gaps in knowledge or skills that could be addressed through professional development initiatives. Finally, the last section explored respondents’ perspectives on the ethical implications and challenges presented by AI technologies in the library context.

The survey employed a mix of question types to engage respondents and capture nuanced data. These included Likert-scale questions, multiple choice, and open-ended questions. Prior to the full-scale administration, the survey was pilot-tested with a small group of academic library employees to ensure clarity, relevance, and appropriateness of the questions.

The survey questions were designed to tap into different dimensions of the TPACK framework. For instance, questions asking about practical experiences with AI tools and self-identified areas of improvement indirectly assess the intersection of technological and pedagogical knowledge (TPK), as they relate to AI.

Upon finalizing the survey, an invitation to participate, along with a link to the survey, was distributed via the listservs and direct outreach methods. The survey remained open for two weeks, with reminders sent out at regular intervals to maximize the response rate.

Limitations

While the study offers insights into AI literacy among academic library employees, it is crucial to acknowledge its limitations. Firstly, given the survey’s self-report nature, the findings may be subject to social desirability bias, where respondents might have over- or under-estimated their knowledge or skills in AI.

Secondly, despite best efforts to reach a wide range of academic library employees, the sample may not be entirely representative of the population. The voluntary nature of participation, coupled with the distribution methods used, may have skewed the sample towards those with an existing interest or engagement in AI.

Moreover, while the use of professional listservs and direct outreach to library directors helped widen our reach, this strategy might have excluded those academic library employees who are less active, or not included, in these communication channels. The inclusion of Canadian libraries through the Association of Research Libraries suggests a small number of non-U.S. respondents.

Finally, the rapidly evolving nature of AI and its applications in libraries means that our findings provide a snapshot at a specific point in time. As AI continues to advance and integrate more deeply into academic libraries, the landscape of AI literacy among library employees is likely to shift, necessitating ongoing research in this area.

These limitations, while important to note, do not invalidate our findings. Instead, they offer points of consideration for interpreting the results and highlight areas for future research to build on our understanding of AI literacy among academic library employees.

Results and Analysis

Descriptive statistics.

The survey drew a diverse response: 760 participants started the survey, 605 completed it. The participants represented a cross-section of the academic library landscape, with the majority (45.20%) serving in Research Universities. A significant proportion also hailed from institutions offering both graduate and undergraduate programs (29.64%) and undergraduate-focused Colleges or Universities (10.76%). Community Colleges and specialized professional schools (e.g., Law, Medical) were represented as well, albeit to a lesser extent.

Over half of the respondents (61.25%) were from libraries affiliated with the Association of Research Libraries (ARL), signifying an extensive representation from research-intensive institutions. Respondents were predominantly from larger academic institutions. Those serving in institutions with enrollments of 30,000 or more made up the largest group (30.67%), closely followed by those in institutions with enrollments ranging from 10,000 to 29,999 (34.66%).

As for professional roles, the survey drew heavily from the library specialists or professionals (60.99%) who directly support the academic community’s research, learning, and teaching needs. Middle (20.00%) and senior (9.09%) management personnel were also well-represented, providing a leadership perspective to the survey insights.

Most of the respondents were primarily involved in Reference and Research Services (25.17%) or Library Instruction and Information Literacy (24.34%)—two areas integral to the academic support infrastructure.

In terms of professional experience, participants exhibited a broad range, from novices with less than a year’s experience (2.81%) to seasoned veterans with over 20 years in the field (22.68%).

The survey group was highly educated, with most holding a master’s degree in library and information science (65.51%), and a significant number having completed a doctoral degree or a master’s in another field.

The survey also collected demographic information. A substantial majority identified as female (71.97%), and the largest age group was 35–44 years (27.97%). While the majority identified as White (76.11%), other ethnicities, including Asian, Black or African American, and Hispanic or Latino, were also represented.

This diverse participant profile offers a broad-based view of AI literacy in the academic library landscape, setting the stage for insightful findings and discussions.

RQ 1 AI Literacy Levels

At a broad level, participants expressed a modest understanding of AI concepts and principles, with a significant portion rating their knowledge at an average level. However, the number of respondents professing a high understanding of AI was quite small, revealing a potential area for further training and education.

A similar pattern was observed when participants were queried about their understanding of generative AI specifically. This suggests that while librarians have begun to grasp AI and its potential, there is a considerable scope for growth in terms of knowledge and implementation (Figure 1).

Regarding the familiarity with AI tools, most participants had a moderate level of experience (30.94%). Only a handful of participants reported a high level of familiarity (3.87%), signaling an opportunity for more hands-on training with these tools.

In examining the prevalence of AI usage in the library sector, the researcher found a varied landscape. While some technologies have found significant adoption, others remain relatively unused. Notably, Chatbots and text or data mining tools were the most widely used AI technologies.

Participants’ understanding of specific AI concepts followed a similar trend. More straightforward concepts such as Machine Learning and Natural Language Processing had a higher average rating, whereas complex areas like Deep Learning and Generative Adversarial Networks were less understood. This trend underscores the need for targeted educational programs on AI in library settings.

Notably, there was almost a nine percent drop in responses from the previous questions to the questions that asked about the more technical aspects of AI. This could signify a gap in knowledge or comfort level with these topics among the participants.

In the professional sphere, AI tools have yet to become a staple in library work. The majority of participants do not frequently use these tools, with 41.79% never using generative AI tools and 28.01% using them less than once a month. This might be attributed to a lack of familiarity, resources, or perceived need. However, for those who do use them, text generation and research assistance are the primary use cases.

Concerns about ethical issues, quality, and accuracy of generated content, as well as data privacy, were prevalent among the participants. This finding indicates that while there’s interest in AI technologies, the perceived challenges are significant barriers to full implementation and adoption.

In their personal lives, AI tools have yet to make a significant impact among the participants. The majority (63.98%) reported using these tools either ‘less than once a month’ or ‘never.’ This could potentially reflect the current state of AI integration in non-professional or leisurely activities, and may change as AI continues to permeate our everyday lives.

A chi-square test of independence was performed to examine the relation between the position of the respondent and the understanding of AI concepts and principles. The relation between these variables was significant, χ 2 (16, N = 760) = 26.31, p = .05. This means that the understanding of AI concepts and principles varies depending on the position of the respondent.

The distributions suggest that—while there is a significant association between the position of the respondent and their understanding of AI concepts and principles—the majority of respondents across all positions have a moderate understanding of AI. However, there are differences in the proportions of respondents who rate their understanding as high or very high, with Senior Management and Middle Management having higher proportions than the other groups.

There is also a significant relation between the area of academic librarianship and the understanding of AI concepts and principles, χ²(36, N = 760) = 68.64, p = .00084. This means that the understanding of AI concepts and principles varies depending on the area of academic librarianship. The distributions show that there are differences in the proportions of respondents who rate their understanding as high or very high, with Administration or management and Library Instruction and Information Literacy having higher proportions than the other groups.

Furthermore, a Chi-Square test shows that the relation between the payment for a premium version of at least one of the AI tools and the understanding of AI concepts and principles is significant, χ²(4, N = 539) = 85.42, p < .001. The distributions suggest that respondents who have paid for a premium version of at least one of the AI tools have a higher understanding of AI concepts and principles compared to those who have not. This could be because those who have paid for a premium version of an AI tool are more likely to use AI in their work or personal life, which could enhance their understanding of AI. Alternatively, those with a higher understanding of AI might be more likely to see the value in paying for a premium version of an AI tool.

It’s important to note that these findings are based on the respondents’ self-rated understanding of AI, which may not accurately reflect their actual understanding. Further research could involve assessing the respondents’ understanding of AI through objective measures. Additionally, other factors not considered in this analysis, such as the respondent’s educational background, years of experience, and exposure to AI in their work, could also influence their understanding of AI.

RQ2 Identifying Gaps

In this section, the researcher delved deeper into the gaps in knowledge and confidence among academic library professionals regarding AI applications. These gaps highlight the urgent need for targeted professional development and training in AI literacy.

Confidence Levels in Various Aspects of AI

The survey data pointed to moderate levels of confidence across a spectrum of AI-related tasks, indicating room for growth and learning. For evaluating ethical implications of using AI, a modest 30.12% of respondents felt somewhat confident (levels 4 and 5 combined), while 29.50% were not confident (levels 1 and 2 combined), and the largest group (39.38%) remained neutral.

Discussing AI integration revealed similar patterns. Here, 31.1% reported high confidence, 34.85% expressed low confidence, and the remaining 33.06% were neutral. These distributions suggest an overall hesitation or lack of assurance in discussing and ethically implementing AI, potentially indicative of inadequate training or exposure to these topics.

When it came to collaborating on AI-related projects, fewer respondents (31.39%) felt confident, while 40.16% reported low confidence, and 28.46% chose a neutral stance. This might point to the necessity of not only individual proficiency in AI but also the need for collaborative skills and shared understanding among teams working with AI.

Troubleshooting AI tools and applications emerged as the most significant gap, with 69.76% rating their confidence as low and only 10.9% expressing high confidence. This highlights an essential area for targeted training, as troubleshooting is a fundamental aspect of successful technology implementation.

Reflecting on Professional Development and Training in AI

Approximately one-third of survey participants have engaged in AI-focused professional development, showcasing several key themes:

• Modes of Training: Librarians access training via various formats, including webinars, workshops, and self-guided learning. Online options are popular, providing accessibility for diverse professionals.
• AI Tools and Applications: Training sessions mainly introduce tools like ChatGPT and others, with an emphasis on functionality and applications in academia.
• Ethical Implications: Sessions often address ethical concerns such as bias and privacy, and the potential misuse of ‘black box’ AI models.
• Integration into Librarian Workflows: Programs explore AI’s integration into library work, including instruction, cataloging, and citation analysis.
• AI Literacy: There is a recurring focus on understanding and teaching AI concepts, tied to broader information literacy discussions.
• AI in Instruction: Training includes using AI tools in library instruction and understanding its impacts on academic integrity.
• Community of Practice: Responses highlight collaborative learning, suggesting a communal approach to understanding AI’s challenges and opportunities.
• Self-guided Learning: Some librarians actively pursue independent learning opportunities, reflecting a proactive stance on AI professional development.

The findings emphasize the multifaceted nature of AI in libraries, underlining the need for ongoing, comprehensive professional development. This includes addressing both technical and ethical aspects, equipping librarians with practical AI skills, and fostering a supportive community of practice.

A Chi-square test examining the relationship between the respondents’ positions and their participation in any training focused on generative AI (χ²(4, N = 595) = 26.72, p < .001) indicates a significant association. Upon examining the data, the proportion of respondents who have participated in training or professional development programs focused on generative AI is highest among those in Senior Management (47.27%), followed by Specialist or Professional (37.40%), Middle Management (29.75%), and Other (16.67%). The proportion is lowest among Support Staff or Administrative (3.70%).

This suggests that individuals in higher positions, such as Senior Management and Specialist or Professional roles, are more likely to have participated in training or professional development programs focused on generative AI. This could be due to a variety of reasons, such as these roles potentially requiring a more in-depth understanding of AI and its applications, or these individuals having more access to resources and opportunities for such training. On the other hand, Support Staff or Administrative personnel are less likely to have participated in such programs, which could be due to less perceived need or fewer opportunities for training in these roles.

These findings highlight the importance of providing access to training and professional development opportunities focused on AI across all roles in an organization, not just those in higher positions or those directly involved in AI-related tasks. This could help ensure a more widespread understanding and utilization of AI across the organization.

Despite these efforts, many participants did not feel adequately prepared to utilize generative AI tools professionally. A notable 62.91% disagreed to some extent with the statement: “I feel adequately prepared to use generative AI tools in my professional work as a librarian,” underscoring the need for more effective training programs.

Interestingly, the areas identified for further training weren’t just about understanding the basics of AI. Participants showed a clear demand for advanced understanding of AI concepts and techniques (13.53%), familiarity with AI tools and applications in libraries (14.21%), and addressing privacy and data security concerns related to generative AI (14.36%). This suggests that librarians are looking to move beyond a basic understanding and are keen to engage more deeply with AI.

Preferred formats for professional development opportunities leaned towards remote and flexible learning opportunities, such as online courses or webinars (26.02%) and self-paced learning modules (22.44%). This preference reflects the current trend towards digital and remote learning, providing a clear direction for future training programs.

Notably, almost half of the participants (43.99%) rated the need for academic librarians to receive training on AI tools and applications within the next twelve months as ‘extremely important.’ This emphasis on urgency indicates a significant and immediate gap to be addressed.

In summary, a deeper analysis of the data reveals a landscape where academic librarians possess moderate to low confidence in understanding, discussing, and handling AI-related tasks, despite some exposure to professional development in AI. This finding indicates the need for more comprehensive, in-depth, and accessible AI training programs. By addressing these knowledge gaps, the library community can effectively embrace AI’s potential and navigate its challenges.

RQ 3 Perceptions

The comprehensive results of our survey, as illustrated in Table 7, offer a detailed portrait of librarians’ perceptions towards the integration of generative AI tools in library services and operations.

When considering the potential benefits of AI, the responses indicate a degree of ambivalence, with 35.88% choosing a neutral stance. However, when we combine the categories of those who ‘agree’ and ‘strongly agree,’ we see that a significant portion, 49.84%, view AI as beneficial to a certain extent. Similarly, on the question of the importance of investment in AI, there is a notable inclination towards agreement, with 46.87% agreeing that investment is important to some degree.

However, this optimism is juxtaposed with concerns about readiness. When asked how prepared they feel to adopt generative AI tools within the forthcoming year, 70.03% of respondents (those who ‘strongly disagree’ or ‘disagree’) admit a lack of preparedness. This suggests that despite recognizing the potential value of AI, there are considerable obstacles to be overcome before implementation becomes feasible.

The uncertainty surrounding AI’s impact on libraries in the short-term further illuminates this complexity. A significant proportion of librarians (36.09%) chose a neutral response when asked to predict the impact of AI on academic libraries within the next twelve months. Nonetheless, there is a considerable group (41.06% who ‘agree’ or ‘strongly agree’) who foresee significant short-term impact.

A key finding from the survey was the collective recognition of the urgency to address ethical and privacy issues tied to AI usage. In fact, 74.34% of respondents, spanning ‘agree’ and ‘strongly agree,’ underscored the urgent need to address potential ethical and privacy concerns related to AI, highlighting the weight of responsibility librarians feel in maintaining the integrity of their services in the age of AI (Figure 2).

The qualitative responses provide a rich understanding of the perceptions of generative AI among library professionals and the implications they foresee for the library profession. The responses were categorized into several key themes, each of which is discussed below with relevant quotes from the respondents.

Ethical and Privacy Concerns

A significant theme that emerged from the responses was the ethical and privacy concerns associated with the use of generative AI tools in libraries. Respondents expressed apprehension about potential misuse of data and violations of privacy. As one respondent noted, “Library leaders should not rush to implement AI tools without listening to their in-house experts and operational managers.” Another respondent cautioned, “We need to be cautious about adopting technologies or practices within our own workflows that pose significant ethical questions, privacy concerns.”

Need for Education and Training

The need for education and training on AI for librarians was another prevalent theme. Respondents emphasized the importance of understanding AI tools and their implications before implementing them. One respondent suggested: “quickly education on AI is needed for librarians. As with anything else, there will be early adopters and then a range of adoption over time.” Another respondent highlighted the need for an AI specialist, stating, “I also think it would be valuable to have an AI librarian, someone who can be a resource for the rest of the staff.”

Potential for Misuse

Respondents expressed concern about the potential for misuse of AI tools, such as generating false citations or over-reliance on AI systems. They emphasized the importance of critical thinking skills, and cautioned against replacing human judgment and learning processes with AI. As one respondent put it, “Critical thinking skills and learning processes are vital and should not be replaced by AI.” Another respondent warned: “there are potential risks from misuse such as false citations being provided or too much dependence on systems.”

Concerns about Implementation

Several respondents expressed doubts about the ability of libraries to quickly and effectively implement AI tools. They cited issues such as frequent updates and refinements to AI tools, the need for significant investment, and the potential for AI to be used in ways that do not benefit the library or its users. One respondent noted, “the concern I have with AI tools is the frequent updates and refinements that occur. For libraries with small staff size, it seems daunting to keep up.”

Role of AI in Libraries

Some respondents suggested specific ways in which AI could be used in libraries, such as for collection development, instruction, and answering frequently asked questions. However, they also cautioned against viewing AI as a panacea for all library challenges. One respondent stated: “using them for FAQs will be more useful than answering a complicated reference question.”

Concerns about AI’s Impact on the Profession

Some respondents expressed concern that the use of AI could lead to job displacement or a devaluation of the human elements of librarianship. They suggested that AI should be used to complement, not replace, human librarians. One respondent expressed that, “I could see a future where only top research institutions have human reference librarians as a concierge service.”

Need for Critical Evaluation

Respondents emphasized the need for critical evaluation of AI tools, including understanding their limitations and potential biases. They suggested that libraries should not rush to implement AI without fully understanding its implications. One respondent advised: “the framing of AI usage as a forgone conclusion is concerning. It’s a tool, not a solution, and should not be implemented without due consideration.”

AI Literacy

Some respondents suggested that libraries have a role to play in teaching AI literacy to students and other library users. They emphasized the importance of understanding how AI tools work and how to use them responsibly. One respondent stated: “I think we need to teach AI literacy to students.” Another respondent echoed this sentiment, saying, “it is essential that we prepare our students to use generative AI tools responsibly.”

The perceptions of generative AI among library professionals are multifaceted, encompassing both the potential benefits and challenges of these technologies. While there is recognition of the potential of AI to enhance library services, there is also a strong emphasis on the need for ethical considerations, education and training, critical evaluation, and responsible use of these tools. The implications for the library profession are significant, with concerns about job displacement, the need for new skills and roles, and the potential for changes in library practices and services. These findings highlight the need for ongoing dialogue and research on the use of generative AI in libraries.

While library employees acknowledge the potential advantages of AI in library services, they also express concerns regarding readiness, and emphasize the urgency to address ethical and privacy considerations. These findings indicate the need for support systems, training, and resources to address readiness gaps, alongside rigorous discussion, and guidelines to navigate ethical and privacy issues as libraries explore the possibilities of AI integration.

Discussions

The survey results cast light on the current state of artificial intelligence literacy, training needs, and perceptions within the academic library community. The findings reveal a landscape of recognition for the potential of AI technologies, yet, simultaneously, a lack of in-depth understanding and preparedness for their adoption.

A detailed examination of the data reveals that a considerable number of library professionals self-assess their understanding of AI as sitting around, or below, the middle. While this does suggest a basic level of familiarity with AI concepts and principles, it likely falls short of the proficiency required to navigate the rapidly evolving AI landscape confidently and competently. This gap in understanding holds implications for the library field as AI continues to infiltrate various sectors and increasingly permeates library services and operations.

Moreover, an analysis of the familiarity of library professionals with AI tools lends further credence to this call for more comprehensive AI education initiatives. An understanding of AI extends beyond mere theoretical comprehension—it necessitates hands-on familiarity with AI tools and the ability to use and apply them in practice. Direct interaction with AI technologies provides an avenue for library professionals to bolster their practical understanding and thus equip them to incorporate these tools into their work more effectively.

However, formulating training initiatives that address these gaps is a multifaceted task. The AI usage in libraries is as diverse as the scope of AI applications themselves. From customer service chatbots, and text or data mining tools, to advanced technologies like neural networks and deep learning systems—each offers unique applications and therefore requires distinct expertise and understanding. Accordingly, training programs must be flexible and comprehensive, encompassing the full range of potential AI applications while also delving deep enough to provide a solid grasp of each specific tool’s functionality and potential uses.

The study also sheds light on the varying degrees of understanding across different AI concepts. Participants generally exhibited a higher level of comprehension for simpler AI concepts. However, their understanding waned when it came to more complex concepts, often the bedrock of cutting-edge AI applications. This variation in comprehension underscores the need for a stratified approach to AI education. Such an approach could start with foundational concepts and gradually progress towards more advanced topics, providing a scaffold on which a deeper understanding of AI can be built.

Addressing the AI literacy gap in the library sector thus requires a concerted approach—one that offers comprehensive and layered educational strategies that bolster both theoretical understanding and practical familiarity with AI. The aim should not only be to impart knowledge, but to empower library professionals to confidently navigate the AI landscape, to adopt and adapt AI technologies in their work effectively and—crucially —responsibly. Through such training and professional development initiatives, libraries can harness the potential of AI, ensuring they continue to be at the forefront of technological advancements.

As the focus shifts to the professional use of AI tools in libraries, the data reveal that their adoption is not yet commonplace. The use of AI tools—such as text generation and research assistance—are most reported, reflecting the immediate utility these technologies offer to librarians. However, a significant proportion of participants do not frequently use AI tools, indicating barriers to adoption. These barriers could include a lack of understanding or familiarity with these tools, a perceived lack of necessity for their use, or limitations in resources necessary for implementation and maintenance. To overcome these barriers, the field may need more than just providing education and resources. Demonstrating the tangible benefits and efficiencies AI tools can bring to library work could play a pivotal role in their wider adoption.

The data show a strong enthusiasm among librarians for professional development related to AI. While introductory training modalities are popular, the findings reveal a demand for more advanced, hands-on training. This need aligns with the complexity and rapid evolution of AI technologies, which require a deeper understanding to be fully leveraged in library contexts.

Furthermore, the findings highlight the importance of ethical considerations and the potential benefits of fostering communities of practice in AI training. With the increasing integration of AI technology into library services, the issues related to AI ethics will likely become more complex. Proactively addressing these concerns through in-depth, focused training can help libraries continue to serve as ethical stewards of information. Communities of practice provide a platform for shared learning, mutual support, and the pooling of resources, equipping librarians to better navigate the intricacies of AI integration.

Importantly, the data show that the diversity in librarians’ roles and contexts necessitates a tailored approach to AI training. Libraries differ in their services, target audiences, resources, and strategic goals, and so do their AI training needs. A one-size-fits-all approach to AI training may fall short. Future AI training could therefore take these variations into account, offering specialized tracks or modules catering to specific roles or institutional contexts.

Likewise, the perceptions surrounding the use of generative AI tools in libraries are intricate and multifaceted. While the potential benefits of AI are acknowledged and the importance of investing in its implementation recognized, there is also a pronounced lack of readiness to adopt these tools. This readiness gap could stem from various factors, such as a lack of technical skills, insufficient funding, or institutional resistance. Future research should delve into these possibilities to better understand and address this gap.

Library professionals express uncertainty about the short-term implications of AI for libraries. This could reflect the novelty of these technologies and a lack of clear use cases, or it could echo the experiences of early adopters. The findings also emphasize a heightened sense of urgency in addressing the ethical and privacy concerns associated with AI technologies. These concerns underline the necessity for ongoing dialogue, education, and policy development around AI use in libraries.

Conclusions and Future Directions

The results reveal an intricate landscape of AI understanding, usage, and perception in the library field. While the benefits of AI tools are acknowledged, a comprehensive understanding and readiness to implement these technologies remain less than ideal. This reality underlines the pressing need for an investment in targeted educational strategies and ongoing professional development initiatives.

Crucially, the wide variance in AI literacy, understanding of AI concepts, and hands-on familiarity with AI tools among library professionals points towards the need for a stratified and tailored approach to AI education. Future training programs must aim beyond just knowledge acquisition—they must equip library professionals with the capabilities to apply AI technologies in their roles effectively, ethically, and responsibly. Ethical and privacy concerns emerged as significant considerations in the adoption of AI technologies in libraries. Our findings reinforce the crucial role that libraries have historically played, and must continue to play, in advocating for ethical information practices.

The readiness gap in AI adoption uncovered by the study suggests a disconnect between understanding the potential of AI and the ability to harness it effectively. This invites a deeper investigation into potential barriers, including technical proficiency, resource allocation, and institutional culture, among others.

Framework and Key Competencies

This study presents a framework for defining AI literacy in academic libraries, encapsulating seven key competencies:

• Understanding AI System Capabilities and Limitations: Recognizing what AI can and cannot do, knowing its strengths and weaknesses.
• Identifying and Evaluating AI Use Cases: Discovering and assessing potential AI applications in library settings.
• Utilizing AI Tools Effectively and Appropriately: Applying AI technologies in library operations.
• Critically Assessing AI Quality, Biases, and Ethics: Evaluating AI for accuracy, fairness, and ethical considerations.
• Engaging in Informed AI Discussions and Collaborations: Participating knowledgeably in conversations and cooperative efforts involving AI.
• Recognizing Data Privacy and Security Issues: Understanding and addressing concerns related to data protection and security in AI systems.
• Anticipating AI’s Impacts on Library Stakeholders: Preparing for how AI will affect library users and staff.

This multidimensional definition of AI literacy for libraries provides a foundation for developing comprehensive training programs and curricula. For instance, the need to understand AI system capabilities and limitations highlighted in the definition indicates that introductory AI education should provide a solid grounding in how common AI technologies like machine learning work, where they excel, and their constraints. This conceptual comprehension equips librarians to set realistic expectations when evaluating or implementing AI.

The definition also accentuates that gaining practical skills to use AI tools appropriately should be a core training component. Hands-on learning focused on identifying appropriate applications, utilizing AI technologies effectively, and critically evaluating outputs can empower librarians to harness AI purposefully.

Moreover, emphasizing critical perspectives and ethical considerations reflects that AI training for librarians should move beyond technical proficiency. Incorporating modules examining biases, privacy implications, misinformation risks, and societal impacts is key for fostering responsible AI integration.

Likewise, the collaborative dimension of the definition demonstrates that cultivating soft skills for productive AI discussions and teamwork should be part of the curriculum. AI literacy has an important social element that training programs need to nurture.

Overall, this definition provides a skills framework that can inform multipronged, context-sensitive AI training tailored to librarians’ diverse needs. It constitutes an actionable guide for developing AI curricula and professional development that advance both technical and social aspects of AI literacy.

Future Research

Based on the findings and limitations of the current study, the following are specific recommendations for future research:

• Longitudinal Studies: This study provides a snapshot of AI literacy among academic library employees at a specific point in time. Future research could conduct longitudinal studies to track changes in AI literacy over time, which would provide insights into the effectiveness of interventions and the evolution of AI literacy in the library profession.
• Comparative Studies: This study focused on academic library employees. Future research could conduct comparative studies to examine AI literacy among different types of library employees (e.g., public library employees, school library employees), or among library employees in different countries. Such studies could provide insights into the factors that influence AI literacy and the strategies that are effective in different contexts.
• Intervention Studies: This study identified the need for education and training on AI. Future research could design and evaluate interventions aimed at enhancing AI literacy among library employees. Such studies could provide evidence-based recommendations for the development of training programs and resources.
• Ethical Considerations: This study highlighted ethical concerns about the use of AI in libraries. Future research could delve deeper into these ethical issues, examining the perspectives of different stakeholders (e.g., library users, library administrators) and exploring strategies for addressing these concerns.
• Impact of AI on Library Services: This study explored library employees’ perceptions of the potential impact of AI on library services. Future research could examine the actual impact of AI on library services, assessing the effectiveness of AI in enhancing user experience, streamlining operations, and supporting learning.

By pursuing these avenues for future research, we can continue to deepen our understanding of AI literacy in the library profession, inform strategies for enhancing AI literacy, and promote the effective and ethical use of AI in libraries.

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Appendix A. Recruitment—Listservs

• American Indian Library Association (AILA)
• American Libraries Association (ALA) Members
• Asian Pacific American Librarians Association (APALA)
• □ Members
• □ University Libraries Section
• □ Distance and Online Learning Section
• □ Instruction Section
• Association of Research Libraries (ARL) Directors Listserv
• Black Caucus American Library Association (BCALA)
• Chinese American Librarians Association (CALA)
• Greater Western Library Alliance (GWLA) Directors’ listserv
• Minnesota Institute Graduates (MIECL)
• New Mexico Consortium of Academic Libraries (NMCAL) Directors’ Listserv

Appendix B. AI and Academic Librarianship

Survey flow.

Standard: Block 1 (1 Question)

Block: Knowledge and Familiarity (12 Questions)

Standard: Perceived Competence and Gaps in AI Literacy (5 Questions)

Standard: Training on Generative AI for Librarians (6 Questions)

Standard: Desired Use of Generative AI in Libraries (7 Questions)

Standard: Demographic (10 Questions)

Standard: End of Survey (1 Question)

Start of Block: Block 1

Q1.1 Introduction

Dr. Leo Lo from the University of New Mexico is conducting a research project. You are invited to participate in a research study aiming to assess AI literacy among academic library employees, identify gaps in AI literacy that require further professional development and training, and understand the differences in AI literacy levels across different roles and demographic factors. Before you begin the survey, please read this Informed Consent Form carefully. Your participation in this study is voluntary, and you may choose to withdraw at any time without any consequences.

Artificial Intelligence (AI) refers to the development of computer systems and software that can perform tasks that would typically require human intelligence. These tasks may include problem-solving, learning, understanding natural language, recognizing patterns, perception, and decision-making

You are being asked to participate based of the following inclusion and exclusion criteria:

Inclusion Criteria:

• Currently employed as an employee in a college or university library setting.
• Willing and able to provide informed consent for participation in the study.

The Exclusion Criteria are as Follows:

• Librarian employees working in non-academic library settings (e.g., public libraries, school libraries, special libraries).
• Individuals who are not currently library employees or who are employed in non-library roles within academic institutions.

The purpose of this study is to evaluate the current AI literacy levels of academic librarians and identify areas where further training and development may be needed. The findings will help inform the design of targeted professional development programs and contribute to the understanding of AI literacy in the library profession.

If you agree to participate in this study, you will be asked to complete an online survey that will take approximately 15–20 minutes to complete. The survey includes questions about your AI knowledge, familiarity with AI tools and applications, perceived competence in using AI, and your opinions on training needs.

Potential Risks and Discomforts

There are no known risks or discomforts associated with participating in this study. Some questions might cause minor discomfort due to self-reflection, but you are free to skip any questions you prefer not to answer. Benefits While there are no direct benefits to you for participating in this study, your responses will help contribute to a better understanding of AI literacy among academic librarians and inform the development of relevant professional training programs.

Confidentiality

Your responses will be anonymous, and no personally identifiable information will be collected. Data will be stored securely on password-protected devices or encrypted cloud storage services, with access limited to the research team. The results of this study will be reported in aggregate form, and no individual responses will be identifiable. Your information collected for this project will NOT be used or shared for future research, even if we remove the identifiable information like your name.

Voluntary Participation and Withdrawal

Your participation in this study is voluntary, and you may choose to withdraw at any time without any consequences. Please note that if you decide to withdraw from the study, the data that has already been collected from you will be kept and used. This is necessary to maintain the integrity of the study and ensure that the data collected is reliable and valid.

Contact Information

If you have any questions or concerns about this study, please contact the principal investigator, Leo Lo, at [email protected] . If you have questions regarding your rights as a research participant, or about what you should do in case of any harm to you, or if you want to obtain information or offer input, please contact the UNM Office of the IRB (OIRB) at (505) 277-2644 or irb.unm.edu

By clicking “I agree” below, you acknowledge that you have read and understood the information provided above, had an opportunity to ask questions, and voluntarily agree to participate.

I agree (1)

I do not agree (2)

Skip To: End of Survey If Q1.1 = I do not agree

End of Block: Block 1

Start of Block: Knowledge and Familiarity

Q2.1 Artificial Intelligence

(AI) refers to the development of computer systems and software that can perform tasks that would typically require human intelligence. These tasks may include problem-solving, learning, understanding natural language, recognizing patterns, perception, and decision-making

Please rate your overall understanding of AI concepts and principles (using a Likert scale, e.g., 1 = very low, 5 = very high)

Q2.2 On a scale of 1 to 5, how would you rate your understanding of generative AI ? (1 = not at all knowledgeable, 5 = extremely knowledgeable)

Q2.3 Rate your familiarity with generative AI tools (e.g., ChatGPT, DALL-E, etc.) (using a Likert scale, e.g., 1 = not familiar, 5 = very familiar)

Q2.4 Which of the following AI technologies or applications have you encountered or used in your role as an academic librarian? (Select all that apply)

• □ Chatbots (1)
• □ Text or data mining tools (2)
• □ Recommender systems (3)
• □ Image or object recognition (4)
• □ Automated content summarization (5)
• □ Sentiment analysis (6)
• □ Speech recognition or synthesis (7)
• □ Other(please specify) (8) __________________________________________________

Q2.5 For each of the following AI concepts, indicate your understanding of the concept by selecting the appropriate response.

Q2.6 Which of the following generative AI tools have you used at least a few times? (Select all that apply)

• □ Text generation (e.g., ChatGPT) (1)
• □ Image generation (e.g., DALL-E, Mid Journey) (2)
• □ Music generation (e.g., OpenAI’s MuseNet) (3)
• □ Video generation (e.g. Synthesia) (4)
• □ Presentation generation (e.g. Tome) (5)
• □ Voice generation (e.g. Murf) (6)
• □ Data synthesis for research purposes (7)
• □ Other (please specify) (8) __________________________________________________

Display This Question:

If If Which of the following generative AI tools have you used at least a few times? (Select all that a… q://QID5/SelectedChoicesCount Is Greater Than 0

Q2.7 Have you ever paid for a premium version of at least one of the AI tools (for example, ChatGPT Plus; or Mid Journey subscription plan, etc.)

Q2.8 How frequently do you use generative AI tools in your professional work? (Select one)

Several times per week (2)

A few times per month (4)

Monthly (5)

Less than once a month (6)

Q2.9 For what purposes do you use generative AI tools in your professional work? (Select all that apply)

• □ Content creation (e.g., blog posts, social media updates) (1)
• □ Research assistance (e.g., literature reviews, data synthesis) (2)
• □ Data analysis or visualization (3)
• □ Cataloging or metadata generation (4)
• □ User support or assistance (e.g., chatbots, virtual reference) (5)
• □ Other (please specify) (6) __________________________________________________

Q2.10 On a scale of 1 to 5, how would you rate how reliable  generative AI tools have been in fulfilling your professional needs? (1 = not at all reliable, 5 = extremely reliable) 

Please explain your choice. 

1 (1) __________________________________________________

2 (2) __________________________________________________

3 (3) __________________________________________________

4 (4) __________________________________________________

5 (5) __________________________________________________

Q2.11 What level of concern do you have for the following potential challenges in implementing generative AI technologies in academic libraries? (Rate each challenge on a scale of 1 to 5, where 1 = not at all concerned and 5 = extremely concerned)

Q2.12 How frequently do you use generative AI tools in your personal life ? (Select one)

End of Block: Knowledge and Familiarity

Start of Block: Perceived Competence and Gaps in AI Literacy

Q3.1 On a scale of 1 to 5, how confident are you in your ability to evaluate the ethical implications of using AI in your library? (1 = not at all confident, 5 = extremely confident)

Q3.2 On a scale of 1 to 5, how confident are you in your ability to participate in discussions about AI integration within your library? (1 = not at all confident, 5 = extremely confident)

Q3.3 On a scale of 1 to 5, how confident are you in your ability to collaborate with colleagues on AI-related projects in your library? (1 = not at all confident, 5 = extremely confident)

Q3.4 On a scale of 1 to 5, how confident are you in your ability to troubleshoot issues related to AI tools and applications used in your library? (1 = not at all confident, 5 = extremely confident)

Q3.5 On a scale of 1 to 5, how confident are you in your ability to provide guidance to library users about AI resources and tools ? (1 = not at all confident, 5 = extremely confident)

End of Block: Perceived Competence and Gaps in AI Literacy

Start of Block: Training on Generative AI for Librarians

Q4.1 Have you ever participated in any training or professional development programs focused on generative AI?

If Q4.1 = Yes

Q4.2 Please briefly describe the nature and content of the training or professional development program(s) you attended.

________________________________________________________________

Q4.3 To what extent do you agree or disagree with the following statement: “ I feel adequately prepared to use generative AI tools in my professional work as a librarian .” (1 = strongly disagree, 5 = strongly agree)

Q4.4 In which of the following areas do you feel the need for additional training or professional development related to AI? (Select all that apply)

• □ Basic understanding of AI concepts and terminology (1)
• □ Advanced understanding of AI concepts and techniques (2)
• □ Familiarity with AI tools and applications in libraries (3)
• □ Ethical considerations of AI in libraries (4)
• □ Collaborating on AI-related projects (5)
• □ Addressing privacy and data security concerns related to generative AI (6)
• □ Troubleshooting AI tools and applications (7)
• □ Providing guidance to library users about AI resources (8)
• □ Other (please specify) (9) __________________________________________________

Q4.5 What types of professional development opportunities related to AI would be most beneficial to you? (Select all that apply)

• □ Online courses or webinars (1)
• □ In-person workshops or seminars (2)
• □ Conference presentations or panel discussions (3)
• □ Self-paced learning modules (4)
• □ Mentoring or coaching (5)
• □ Peer learning groups or communities of practice (6)
• □ Other (please specify) (7) __________________________________________________

Q4.6 How important do you think it is for academic librarians to receive training on generative AI tools and applications in the next 12 months ? (1 = not at all important, 5 = extremely important)

End of Block: Training on Generative AI for Librarians

Start of Block: Desired Use of Generative AI in Libraries

Q5.1 To what extent do you agree or disagree with the following statement: “ I believe generative AI tools have the potential to benefit library services and operations .” (1 = strongly disagree, 5 = strongly agree)

Q5.2 How important do you think it is for your library to invest in the exploration and implementation of generative AI tools ? (1 = not at all important, 5 = extremely important)

Q5.3 If you have any additional thoughts or suggestions on how your library could or should use (or not use) generative AI tools, please share them here.

Q5.4 How soon do you think your library should prioritize implementing generative AI tools and applications? (Select one)

Immediately (1)

Within the next 6 months (2)

Within the next year (3)

Within the next 2–3 years (4)

More than 3 years from now (5)

Not a priority at all (6)

Q5.5 In your opinion, how prepared is your library to adopt generative AI tools and applications in the next 12 months? (1 = not at all prepared, 5 = extremely prepared)

Q5.6 To what extent do you think generative AI tools and applications will have a significant impact on academic libraries within the next 12 months ? (1 = no impact, 5 = major impact)

Q5.7 How urgent do you feel it is for your library to address the potential ethical and privacy concerns related to the use of generative AI tools and applications? (1 = not at all urgent, 5 = extremely urgent)

End of Block: Desired Use of Generative AI in Libraries

Start of Block: Demographic

Q6.1 In which type of academic institution is your library located? (Select one)

Community college (1)

College or university (primarily undergraduate) (2)

College or university (graduate and undergraduate) (3)

Research university (4)

Specialized or professional school (e.g., law, medical) (5)

Other (please specify) (6) __________________________________________________

Q6.2 Is your library an ARL member library?

Q6.3 Approximately how many students are enrolled at your institution? (Select one)

Fewer than 1,000 (1)

1,000–4,999 (2)

5,000–9,999 (3)

10,000–19,999 (4)

20,000–29,999 (5)

30,000 or more (6)

Q6.4 What is your current role or position in your organization? (Select one)

Senior management (e.g. Director, Dean, associate dean/director) (1)

Middle management (e.g. department head, supervisor, coordinator) (2)

Specialist or professional (e.g., librarian, analyst, consultant) (3)

Support staff or administrative (4)

Other (please specify) (5) __________________________________________________

Q6.5 In which area of academic librarianship do you primarily work? (Select one)

Administration or management (1)

Reference and research services (2)

Technical services (e.g., acquisitions, cataloging, metadata) (3)

Collection development and management (4)

Library instruction and information literacy (5)

Electronic resources and digital services (6)

Systems and IT services (7)

Archives and special collections (8)

Outreach, marketing, and communications (9)

Other (please specify) (10) __________________________________________________

Q6.6 How many years of experience do you have as a library employee?

Less than 1 year (1)

1–5 years (2)

6–10 years (3)

11–15 years (4)

16–20 years (5)

More than 20 years (6)

Q6.7 What is the highest level of education you have completed? (Select one)

High school diploma or equivalent (1)

Some college or associate degree (2)

Bachelor’s degree (3)

Master’s degree in library and information science (e.g., MLIS, MSLS) (4)

Master’s degree in another field (5)

Doctoral degree (e.g., PhD, EdD) (6)

Other (please specify) (7) __________________________________________________

Q6.8 What is your gender? (Select one)

Non-binary / third gender (3)

Prefer not to say (4)

Q6.9 What is your age range?

Under 25 (1)

65 and above (5)

Q6.10 How do you describe your ethnicity? (Select one or more)

• □ American Indian or Alaskan Native (1)
• □ Asian (2)
• □ Black or African American (3)
• □ Hawaiian or Other Pacific Islander (4)
• □ Hispanic or Latino (5)
• □ White (6)
• □ Prefer not to say (7)
• □ Other (8) __________________________________________________

End of Block: Demographic

Start of Block: End of Survey

Q7.1 Thank you for participating in our survey!

Your input is incredibly valuable to us and will contribute to our understanding of AI literacy among academic librarians. We appreciate the time and effort you have taken to share your experiences and opinions. The information gathered will help inform future professional development opportunities and address potential gaps in AI knowledge and skills.

We will carefully analyze the responses and share the findings with the academic library community. If you have any further comments or questions about the survey, please do not hesitate to contact us at [email protected].

Once again, thank you for your contribution to this important research. Your insights will help shape the future of AI in academic libraries.

Best regards,

University of New Mexico

End of Block: End of Survey

* Leo S. Lo is Dean, College of University Libraries and Learning Sciences at the University of New Mexico, email: [email protected] . ©2024 Leo S. Lo, Attribution-NonCommercial (https://creativecommons.org/licenses/by-nc/4.0/) CC BY-NC.

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The Time of Day You Exercise Could Help Control Blood Sugar

Any physical activity is good for your metabolic health, but research says timing it right may have more benefits for your glucose levels.

Gear-obsessed editors choose every product we review. We may earn commission if you buy from a link. How we test gear.

• New research points to the benefits of exercise timing on blood sugar regulation, pointing to evening exercise as the best option.
• Researchers say to focus on moderate- to vigorous-intensity exercise done after 6 p.m. to lower blood glucose levels.

That’s why keeping control of blood glucose levels is important, and one way to help might include doing moderate- to vigorous-intensity exercise in the evening, according to a new study in Obesity .

Researchers looked at 186 men and women who were overweight or had obesity and were diagnosed with at least one metabolic impairment, such as high blood pressure or high cholesterol . Over a 14-day period, researchers tracked their physical activity and glucose levels, along with the time of day for exercise. Morning exercise was defined as before noon, with afternoon exercise between noon and 6:00 p.m, and evening exercise after that.

At the end of the two weeks, those who did more than 50 percent of their exercise in the evening had significantly lower glucose levels compared to those who were sedentary, and better glucose regulation than participants who mainly exercised in the mornings or afternoons.

The effects were especially notable for those who’d struggled with regulating their blood sugar before participating in the study, according to co-author Antonia Clavero Jimeno, Ph.D.(c), researcher in the department of physical education and sports at the University of Granada in Spain.

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Although the study participants were specifically chosen based on metabolic factors and sedentary behavior , he told Bicycling that previous evidence has shown that the results might be the same for those without those factors, and who already exercise regularly.

“In fact, the impact of both physical activity volume and timing for glycemic control may be amplified in those with higher activity levels,” he said.

That’s backed up by previous research looking at active people who were assessed for blood sugar changes based on when they exercised. In that study , published in 2022, those who performed moderate-to-vigorous activity in the afternoon had 18 percent lower insulin resistance compared to morning exercisers, and the evening group fared even better, with a 25 percent reduction in insulin resistance.

One factor that was not explored in either study was the role of dietary changes, and this is an area that needs more research, said Clavero Jimeno. Determining whether a strategy like time-restricted eating—also called intermittent fasting —would be helpful or harmful to glucose regulation when paired with evening exercise is a next step, and is already being studied by Clavero Jimeno and his team.

“Dietary intake is, of course, recognized as crucial for glycemic control, and may influence the results overall,” he said. “But in the absence of that information, this current study does emphasize that if you want better control of your glucose levels, evening exercise, done at a higher intensity , may be beneficial.”

Elizabeth Millard is a freelance writer focusing on health, wellness, fitness, and food. 

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Human Subjects Office

Medical terms in lay language.

Please use these descriptions in place of medical jargon in consent documents, recruitment materials and other study documents. Note: These terms are not the only acceptable plain language alternatives for these vocabulary words.

This glossary of terms is derived from a list copyrighted by the University of Kentucky, Office of Research Integrity (1990).

For clinical research-specific definitions, see also the Clinical Research Glossary developed by the Multi-Regional Clinical Trials (MRCT) Center of Brigham and Women’s Hospital and Harvard  and the Clinical Data Interchange Standards Consortium (CDISC) .

Alternative Lay Language for Medical Terms for use in Informed Consent Documents

A   B   C   D   E   F   G   H   I  J  K   L   M   N   O   P   Q   R   S   T   U   V   W  X  Y  Z

ABDOMEN/ABDOMINAL body cavity below diaphragm that contains stomach, intestines, liver and other organs ABSORB take up fluids, take in ACIDOSIS condition when blood contains more acid than normal ACUITY clearness, keenness, esp. of vision and airways ACUTE new, recent, sudden, urgent ADENOPATHY swollen lymph nodes (glands) ADJUVANT helpful, assisting, aiding, supportive ADJUVANT TREATMENT added treatment (usually to a standard treatment) ANTIBIOTIC drug that kills bacteria and other germs ANTIMICROBIAL drug that kills bacteria and other germs ANTIRETROVIRAL drug that works against the growth of certain viruses ADVERSE EFFECT side effect, bad reaction, unwanted response ALLERGIC REACTION rash, hives, swelling, trouble breathing AMBULATE/AMBULATION/AMBULATORY walk, able to walk ANAPHYLAXIS serious, potentially life-threatening allergic reaction ANEMIA decreased red blood cells; low red cell blood count ANESTHETIC a drug or agent used to decrease the feeling of pain, or eliminate the feeling of pain by putting you to sleep ANGINA pain resulting from not enough blood flowing to the heart ANGINA PECTORIS pain resulting from not enough blood flowing to the heart ANOREXIA disorder in which person will not eat; lack of appetite ANTECUBITAL related to the inner side of the forearm ANTIBODY protein made in the body in response to foreign substance ANTICONVULSANT drug used to prevent seizures ANTILIPEMIC a drug that lowers fat levels in the blood ANTITUSSIVE a drug used to relieve coughing ARRHYTHMIA abnormal heartbeat; any change from the normal heartbeat ASPIRATION fluid entering the lungs, such as after vomiting ASSAY lab test ASSESS to learn about, measure, evaluate, look at ASTHMA lung disease associated with tightening of air passages, making breathing difficult ASYMPTOMATIC without symptoms AXILLA armpit

BENIGN not malignant, without serious consequences BID twice a day BINDING/BOUND carried by, to make stick together, transported BIOAVAILABILITY the extent to which a drug or other substance becomes available to the body BLOOD PROFILE series of blood tests BOLUS a large amount given all at once BONE MASS the amount of calcium and other minerals in a given amount of bone BRADYARRHYTHMIAS slow, irregular heartbeats BRADYCARDIA slow heartbeat BRONCHOSPASM breathing distress caused by narrowing of the airways

CARCINOGENIC cancer-causing CARCINOMA type of cancer CARDIAC related to the heart CARDIOVERSION return to normal heartbeat by electric shock CATHETER a tube for withdrawing or giving fluids CATHETER a tube placed near the spinal cord and used for anesthesia (indwelling epidural) during surgery CENTRAL NERVOUS SYSTEM (CNS) brain and spinal cord CEREBRAL TRAUMA damage to the brain CESSATION stopping CHD coronary heart disease CHEMOTHERAPY treatment of disease, usually cancer, by chemical agents CHRONIC continuing for a long time, ongoing CLINICAL pertaining to medical care CLINICAL TRIAL an experiment involving human subjects COMA unconscious state COMPLETE RESPONSE total disappearance of disease CONGENITAL present before birth CONJUNCTIVITIS redness and irritation of the thin membrane that covers the eye CONSOLIDATION PHASE treatment phase intended to make a remission permanent (follows induction phase) CONTROLLED TRIAL research study in which the experimental treatment or procedure is compared to a standard (control) treatment or procedure COOPERATIVE GROUP association of multiple institutions to perform clinical trials CORONARY related to the blood vessels that supply the heart, or to the heart itself CT SCAN (CAT) computerized series of x-rays (computerized tomography) CULTURE test for infection, or for organisms that could cause infection CUMULATIVE added together from the beginning CUTANEOUS relating to the skin CVA stroke (cerebrovascular accident)

DERMATOLOGIC pertaining to the skin DIASTOLIC lower number in a blood pressure reading DISTAL toward the end, away from the center of the body DIURETIC "water pill" or drug that causes increase in urination DOPPLER device using sound waves to diagnose or test DOUBLE BLIND study in which neither investigators nor subjects know what drug or treatment the subject is receiving DYSFUNCTION state of improper function DYSPLASIA abnormal cells

ECHOCARDIOGRAM sound wave test of the heart EDEMA excess fluid collecting in tissue EEG electric brain wave tracing (electroencephalogram) EFFICACY effectiveness ELECTROCARDIOGRAM electrical tracing of the heartbeat (ECG or EKG) ELECTROLYTE IMBALANCE an imbalance of minerals in the blood EMESIS vomiting EMPIRIC based on experience ENDOSCOPIC EXAMINATION viewing an  internal part of the body with a lighted tube  ENTERAL by way of the intestines EPIDURAL outside the spinal cord ERADICATE get rid of (such as disease) Page 2 of 7 EVALUATED, ASSESSED examined for a medical condition EXPEDITED REVIEW rapid review of a protocol by the IRB Chair without full committee approval, permitted with certain low-risk research studies EXTERNAL outside the body EXTRAVASATE to leak outside of a planned area, such as out of a blood vessel

FDA U.S. Food and Drug Administration, the branch of federal government that approves new drugs FIBROUS having many fibers, such as scar tissue FIBRILLATION irregular beat of the heart or other muscle

GENERAL ANESTHESIA pain prevention by giving drugs to cause loss of consciousness, as during surgery GESTATIONAL pertaining to pregnancy

HEMATOCRIT amount of red blood cells in the blood HEMATOMA a bruise, a black and blue mark HEMODYNAMIC MEASURING blood flow HEMOLYSIS breakdown in red blood cells HEPARIN LOCK needle placed in the arm with blood thinner to keep the blood from clotting HEPATOMA cancer or tumor of the liver HERITABLE DISEASE can be transmitted to one’s offspring, resulting in damage to future children HISTOPATHOLOGIC pertaining to the disease status of body tissues or cells HOLTER MONITOR a portable machine for recording heart beats HYPERCALCEMIA high blood calcium level HYPERKALEMIA high blood potassium level HYPERNATREMIA high blood sodium level HYPERTENSION high blood pressure HYPOCALCEMIA low blood calcium level HYPOKALEMIA low blood potassium level HYPONATREMIA low blood sodium level HYPOTENSION low blood pressure HYPOXEMIA a decrease of oxygen in the blood HYPOXIA a decrease of oxygen reaching body tissues HYSTERECTOMY surgical removal of the uterus, ovaries (female sex glands), or both uterus and ovaries

IATROGENIC caused by a physician or by treatment IDE investigational device exemption, the license to test an unapproved new medical device IDIOPATHIC of unknown cause IMMUNITY defense against, protection from IMMUNOGLOBIN a protein that makes antibodies IMMUNOSUPPRESSIVE drug which works against the body's immune (protective) response, often used in transplantation and diseases caused by immune system malfunction IMMUNOTHERAPY giving of drugs to help the body's immune (protective) system; usually used to destroy cancer cells IMPAIRED FUNCTION abnormal function IMPLANTED placed in the body IND investigational new drug, the license to test an unapproved new drug INDUCTION PHASE beginning phase or stage of a treatment INDURATION hardening INDWELLING remaining in a given location, such as a catheter INFARCT death of tissue due to lack of blood supply INFECTIOUS DISEASE transmitted from one person to the next INFLAMMATION swelling that is generally painful, red, and warm INFUSION slow injection of a substance into the body, usually into the blood by means of a catheter INGESTION eating; taking by mouth INTERFERON drug which acts against viruses; antiviral agent INTERMITTENT occurring (regularly or irregularly) between two time points; repeatedly stopping, then starting again INTERNAL within the body INTERIOR inside of the body INTRAMUSCULAR into the muscle; within the muscle INTRAPERITONEAL into the abdominal cavity INTRATHECAL into the spinal fluid INTRAVENOUS (IV) through the vein INTRAVESICAL in the bladder INTUBATE the placement of a tube into the airway INVASIVE PROCEDURE puncturing, opening, or cutting the skin INVESTIGATIONAL NEW DRUG (IND) a new drug that has not been approved by the FDA INVESTIGATIONAL METHOD a treatment method which has not been proven to be beneficial or has not been accepted as standard care ISCHEMIA decreased oxygen in a tissue (usually because of decreased blood flow)

LAPAROTOMY surgical procedure in which an incision is made in the abdominal wall to enable a doctor to look at the organs inside LESION wound or injury; a diseased patch of skin LETHARGY sleepiness, tiredness LEUKOPENIA low white blood cell count LIPID fat LIPID CONTENT fat content in the blood LIPID PROFILE (PANEL) fat and cholesterol levels in the blood LOCAL ANESTHESIA creation of insensitivity to pain in a small, local area of the body, usually by injection of numbing drugs LOCALIZED restricted to one area, limited to one area LUMEN the cavity of an organ or tube (e.g., blood vessel) LYMPHANGIOGRAPHY an x-ray of the lymph nodes or tissues after injecting dye into lymph vessels (e.g., in feet) LYMPHOCYTE a type of white blood cell important in immunity (protection) against infection LYMPHOMA a cancer of the lymph nodes (or tissues)

MALAISE a vague feeling of bodily discomfort, feeling badly MALFUNCTION condition in which something is not functioning properly MALIGNANCY cancer or other progressively enlarging and spreading tumor, usually fatal if not successfully treated MEDULLABLASTOMA a type of brain tumor MEGALOBLASTOSIS change in red blood cells METABOLIZE process of breaking down substances in the cells to obtain energy METASTASIS spread of cancer cells from one part of the body to another METRONIDAZOLE drug used to treat infections caused by parasites (invading organisms that take up living in the body) or other causes of anaerobic infection (not requiring oxygen to survive) MI myocardial infarction, heart attack MINIMAL slight MINIMIZE reduce as much as possible Page 4 of 7 MONITOR check on; keep track of; watch carefully MOBILITY ease of movement MORBIDITY undesired result or complication MORTALITY death MOTILITY the ability to move MRI magnetic resonance imaging, diagnostic pictures of the inside of the body, created using magnetic rather than x-ray energy MUCOSA, MUCOUS MEMBRANE moist lining of digestive, respiratory, reproductive, and urinary tracts MYALGIA muscle aches MYOCARDIAL pertaining to the heart muscle MYOCARDIAL INFARCTION heart attack

NASOGASTRIC TUBE placed in the nose, reaching to the stomach NCI the National Cancer Institute NECROSIS death of tissue NEOPLASIA/NEOPLASM tumor, may be benign or malignant NEUROBLASTOMA a cancer of nerve tissue NEUROLOGICAL pertaining to the nervous system NEUTROPENIA decrease in the main part of the white blood cells NIH the National Institutes of Health NONINVASIVE not breaking, cutting, or entering the skin NOSOCOMIAL acquired in the hospital

OCCLUSION closing; blockage; obstruction ONCOLOGY the study of tumors or cancer OPHTHALMIC pertaining to the eye OPTIMAL best, most favorable or desirable ORAL ADMINISTRATION by mouth ORTHOPEDIC pertaining to the bones OSTEOPETROSIS rare bone disorder characterized by dense bone OSTEOPOROSIS softening of the bones OVARIES female sex glands

PARENTERAL given by injection PATENCY condition of being open PATHOGENESIS development of a disease or unhealthy condition PERCUTANEOUS through the skin PERIPHERAL not central PER OS (PO) by mouth PHARMACOKINETICS the study of the way the body absorbs, distributes, and gets rid of a drug PHASE I first phase of study of a new drug in humans to determine action, safety, and proper dosing PHASE II second phase of study of a new drug in humans, intended to gather information about safety and effectiveness of the drug for certain uses PHASE III large-scale studies to confirm and expand information on safety and effectiveness of new drug for certain uses, and to study common side effects PHASE IV studies done after the drug is approved by the FDA, especially to compare it to standard care or to try it for new uses PHLEBITIS irritation or inflammation of the vein PLACEBO an inactive substance; a pill/liquid that contains no medicine PLACEBO EFFECT improvement seen with giving subjects a placebo, though it contains no active drug/treatment PLATELETS small particles in the blood that help with clotting POTENTIAL possible POTENTIATE increase or multiply the effect of a drug or toxin (poison) by giving another drug or toxin at the same time (sometimes an unintentional result) POTENTIATOR an agent that helps another agent work better PRENATAL before birth PROPHYLAXIS a drug given to prevent disease or infection PER OS (PO) by mouth PRN as needed PROGNOSIS outlook, probable outcomes PRONE lying on the stomach PROSPECTIVE STUDY following patients forward in time PROSTHESIS artificial part, most often limbs, such as arms or legs PROTOCOL plan of study PROXIMAL closer to the center of the body, away from the end PULMONARY pertaining to the lungs

QD every day; daily QID four times a day

RADIATION THERAPY x-ray or cobalt treatment RANDOM by chance (like the flip of a coin) RANDOMIZATION chance selection RBC red blood cell RECOMBINANT formation of new combinations of genes RECONSTITUTION putting back together the original parts or elements RECUR happen again REFRACTORY not responding to treatment REGENERATION re-growth of a structure or of lost tissue REGIMEN pattern of giving treatment RELAPSE the return of a disease REMISSION disappearance of evidence of cancer or other disease RENAL pertaining to the kidneys REPLICABLE possible to duplicate RESECT remove or cut out surgically RETROSPECTIVE STUDY looking back over past experience

SARCOMA a type of cancer SEDATIVE a drug to calm or make less anxious SEMINOMA a type of testicular cancer (found in the male sex glands) SEQUENTIALLY in a row, in order SOMNOLENCE sleepiness SPIROMETER an instrument to measure the amount of air taken into and exhaled from the lungs STAGING an evaluation of the extent of the disease STANDARD OF CARE a treatment plan that the majority of the medical community would accept as appropriate STENOSIS narrowing of a duct, tube, or one of the blood vessels in the heart STOMATITIS mouth sores, inflammation of the mouth STRATIFY arrange in groups for analysis of results (e.g., stratify by age, sex, etc.) STUPOR stunned state in which it is difficult to get a response or the attention of the subject SUBCLAVIAN under the collarbone SUBCUTANEOUS under the skin SUPINE lying on the back SUPPORTIVE CARE general medical care aimed at symptoms, not intended to improve or cure underlying disease SYMPTOMATIC having symptoms SYNDROME a condition characterized by a set of symptoms SYSTOLIC top number in blood pressure; pressure during active contraction of the heart

TERATOGENIC capable of causing malformations in a fetus (developing baby still inside the mother’s body) TESTES/TESTICLES male sex glands THROMBOSIS clotting THROMBUS blood clot TID three times a day TITRATION a method for deciding on the strength of a drug or solution; gradually increasing the dose T-LYMPHOCYTES type of white blood cells TOPICAL on the surface TOPICAL ANESTHETIC applied to a certain area of the skin and reducing pain only in the area to which applied TOXICITY side effects or undesirable effects of a drug or treatment TRANSDERMAL through the skin TRANSIENTLY temporarily TRAUMA injury; wound TREADMILL walking machine used to test heart function

UPTAKE absorbing and taking in of a substance by living tissue

VALVULOPLASTY plastic repair of a valve, especially a heart valve VARICES enlarged veins VASOSPASM narrowing of the blood vessels VECTOR a carrier that can transmit disease-causing microorganisms (germs and viruses) VENIPUNCTURE needle stick, blood draw, entering the skin with a needle VERTICAL TRANSMISSION spread of disease

WBC white blood cell

In-Person Time

In the Changing Role of the Office, It’s All about Moments That Matter

New research highlights three key times when bringing employees and teams together in person creates lasting connection

Illustration by Zara Picken

T Three years into flexible work, we’re entering a new phase: structured flexible work. While every organization approaches flexibility differently, leaders are looking to establish norms and best practices with their employees, particularly around when—and how much—to come into the office. At Microsoft, our structured flexible work model empowers individuals and teams to intentionally decide what works for them, within company and team guidelines. “We enable managers and employees to do what they believe is best for each individual’s unique needs, as well as each team’s success,” says Karen Kocher, global general manager, Future of Work, Workforce of the Future, and talent & learning experiences at Microsoft. Study after study shows that employees want the best of both worlds—flexible work and in-person connection. Back in 2021, the Work Trend Index uncovered what we call the hybrid paradox: over 70% of workers wanted flexible work to stay, and over 65% were craving more in-person time with their teams. While the amount of flexibility might differ by role—data center employees or hardware engineers might spend more time on-site, for example—we’ve seen this trend persist in both our external research and in our Microsoft employee surveys. How can leaders bring structure to flexible work and help employees get the in-person connection they crave? New research shows it’s not about the number of days people are in the office, it’s about creating moments that matter. hree years into flexible work, we’re entering a new phase: structured flexible work. While every organization approaches flexibility differently, leaders are looking to establish norms and best practices with their employees, particularly around when—and how much—to come into the office. At Microsoft, our structured flexible work model empowers individuals and teams to intentionally decide what works for them, within company and team guidelines. “We enable managers and employees to do what they believe is best for each individual’s unique needs, as well as each team’s success,” says Karen Kocher, global general manager, Future of Work, Workforce of the Future, and talent & learning experiences at Microsoft. Study after study shows that employees want the best of both worlds—flexible work and in-person connection. Back in 2021, the Work Trend Index uncovered what we call the hybrid paradox: over 70% of workers wanted flexible work to stay, and over 65% were craving more in-person time with their teams. While the amount of flexibility might differ by role—data center employees or hardware engineers might spend more time on-site, for example—we’ve seen this trend persist in both our external research and in our Microsoft employee surveys. How can leaders bring structure to flexible work and help employees get the in-person connection they crave? New research shows it’s not about the number of days people are in the office, it’s about creating moments that matter.

Our internal data points to three specific moments when in-person time is most beneficial:

Strengthening team cohesion

Onboarding to a new role, team, or company

Kicking off a project

1. Strengthening team cohesion

There’s no going back to 2019. Over the past four years, organizations have become increasingly distributed, and for many of them, a large-scale return to the office is no longer a feasible way to create meaningful connections between individuals and teams. This is certainly true of Microsoft. “We’re not the same company that we were prior to the pandemic,” says Dawn Klinghoffer, head of people analytics at Microsoft. Back then, 61% of teams at the company were all in the same location; today that number is 27%. And research shows that 70% of managers at Fortune 100 companies have at least one remote team member.

Fewer Teams Are Fully Co-Located Than in 2020

New research shows that teams are more geographically dispersed than before the pandemic, and fewer teammates all live within the same city.*

And employees say that flexibility is going well: In our latest Microsoft employee engagement survey, 92% of our employees say they believe the company values flexibility and allows them to work in a way that works best for them. An even higher 93% are confident in their ability to work together as a team, regardless of location. At the same time, the survey shows people are craving more connection. When we looked at the comments from employees who did not rate their quality of connection with co-workers as favorable (only neutral or unfavorable), 29% of those comments said that remote work has made it difficult to create meaningful connections and relationships. We know that people come into an office for each other—whether it’s once a week or once a year—and in the same engagement survey, employees made it clear they’re looking for time together spent connecting, not just co-working. When asked what in-person activities Microsoft should offer to support teams’ success, 37% of comments were about social and team-building activities—the number one theme overall.

Just ask Maryleen Emeric, who organized a recent team week for the Microsoft Modern Work and Business Applications group. (Team week brings together far-flung colleagues who would otherwise rarely see each other.) And after a long day of meetings and workshops during team week, she brought down the house with a karaoke cover of Bonnie Tyler’s “Total Eclipse of the Heart.” “Those sorts of social connections are not something that you can create over a screen,” she says. “Allowing people to get to know each other and find those common interests outside of work—I don’t think that can happen if you don’t bring people together once in a while.”

We see this sentiment in our external surveys too. According to the September 2022 Work Trend Index report , about 85% of people were motivated to go into the office for socializing with co-workers; just as many also said they’d be motivated by a desire to rebuild team bonds.

“You have to think of your social capital like a battery,” Emeric says. “The longer you go without having in-person interaction, the lower the charge gets on your battery. These moments that matter—like a team week—allow us to recharge the battery.” In fact, Microsoft employees who spent six days or more a month in the office with their team had a slightly higher thriving score than those who did not spend any time in the office. (Thriving is our outcome for engagement at Microsoft, defined by a combination of three tenets: being “ empowered and energized to do meaningful work .”) While even more days together raises scores for feeling energized and for alignment on goals, it also starts to push down scores for flexibility and satisfaction.

In-person time can also remind the individual employee of the role they play in the success of the broader team and the organization. Team week culminated in an “ask me anything” style conversation with organization leader Jared Spataro, CVP of Modern Work & Business Applications, during which he spoke openly about the company’s vigorous focus on AI. “It made people feel very connected to our mission, very connected to our goals, and very connected to our culture,” Emeric says. “It got people very energized. And it felt like people were recommitting to the cause. Like, ‘Yeah, we’re all in.’” We know from the Work Trend Index report that high-quality connections pay off for both people and businesses: Employees who have positive relationships with their immediate team members report better wellbeing than those with poor relationships. They also report higher productivity, and are less likely to change employers in the year ahead. Strengthening networks outside of the immediate team matters, too, according to the Work Trend Index. Employees with positive relationships beyond their immediate team members say they’re more satisfied with their employer, more fulfilled by work, and have a more positive outlook on workplace stress than those with weak organizational networks. Or, in the immortal words of Ms. Bonnie Tyler: “ Together we can take it to the end of the line …”

2. Onboarding to a new role, team, or company

Our research showed that when starting a new role—whether at a new company or in an internal switch—meeting your manager or onboarding buddy in person makes certain things easier. Compared with employees who didn’t meet their managers in person within the first 90 days, employees who did were more likely to seek feedback, be asked for input by their team, build strong relationships with colleagues, feel supported when discussing tough issues with their manager, and get effective coaching and feedback. (However, there are no differences in how these new hires feel about other outcomes in the survey, including driving impact, finding the support they need, being supported by their colleagues and feeling included, knowing their stakeholders, and getting to know the culture.) Meeting your onboarding “buddy”—a teammate assigned to support your transition to the new team—in person within 90 days makes a difference too. Those who did were more likely to seek feedback, feel included, feel trusted by their team, and report they had clarity about how to drive impact—and have the necessary tools to do so. (But meeting their onboarding buddy in person did not meaningfully affect new hires’ scores in other areas, such as finding the support they need, understanding their organization’s vision, or knowing their stakeholders.) The quicker that new hires develop trust with their managers and teammates, the quicker they can become productive contributors and collaborators with the team and the company. “Understanding the priorities and feeling a sense of belonging is just really a goodness for both the organization and the individual,” Kocher says.

Meeting In Person Has Clear Benefits for New Hires

For new employees, connecting with their manager or onboarding “buddy“ in person has a measurable short-term effect on how well they integrate with their new teams.

Source: Onboarding Research Survey at 90 Days, Microsoft, Sept. 7 to Dec. 31, 2022

Stretches of in-person training also help new hires understand their tasks and priorities with less friction. They can receive close guidance and immediate feedback, with easy access to assistance, clarification, and tacit knowledge. “It helps you get more quickly up to speed,” Kocher says. “And when you can deliver at your maximum capacity much more quickly, it helps you become more intrinsically motivated and energized.” Another internal survey showed that early-in-career employees felt slightly more energized when they worked regularly in the same building with their team members. In-person time also gives employees the opportunity to observe company norms and team dynamics—subtleties that are difficult to pick up on virtually and that can be especially important for early-in-career employees. All that said, as Klinghoffer notes, once you’ve onboarded, in-person one-on-one meetings are not necessarily mission critical, which is good news for distributed teams. It’s a balance: “Meeting one’s manager early on is a moment that matters and has some great outcomes, but down the road, you don’t necessarily have to be in person regularly.”

3. Kicking off a project

In-person time is useful in the earliest stages of a project life cycle for the same reason it’s useful during the onboarding process: getting people on the same page. When respondents of our employee engagement survey shared specific examples of moments that matter to be in person for, they included initial customer engagements and planning sessions—one respondent even said it “would be a significant boost to team collaboration, culture, and execution.” The Microsoft 365 Copilot project kickoff , which assembled teams from diverse departments for the company’s most ambitious project in a decade, happened in person, for example. Physical proximity simply helps people feel like their colleagues understand them. “Everyone likes to feel heard by others,” Kocher says. “And it’s easier to feel heard when you’re right next to somebody having a conversation.” With mutual trust and alignment in place, the creative juices can start flowing. In-person time helps spark innovation and outside-the-box thinking. In fact, studies show that while it’s easiest to choose the best idea virtually, in-person pairs generated 18% more creative ideas and 14% more ideas overall compared with virtual pairs in the same hour—so you can have better choices to pick from. “If you want the best and most ideas, you do it in person,” Kocher says. “When you’re in a big room with a lot of people, your mind perceives an expansion. Compare that to when you’re at a computer and you’re talking to people online: your mind goes very narrow very quickly.” Aside from boosting brainstorming power, being together in person at the beginning of a project allows a team to more efficiently share tacit knowledge, get clarity, establish individual roles, and coordinate their efforts. “Get to know people, build the trust, have some initial brainstorming sessions,” Klinghoffer says. “Then, once you’ve built that social capital, go back to your home offices or separate locations and keep on moving the project forward.”

Key Takeaway

While flexible work looks different for every organization, it’s clear that it’s here to stay. As organizations embrace this transformative model, they unlock their capacity to increase productivity, enhance employee satisfaction, and create a more inclusive workforce. Remote work has benefits, and in-person time does too. Every team is different, but one thing is clear: finding this balance must be approached with intentionality. Rather than considering the office as a one-size-fits-all solution, teams should consider the type of work they do and determine key points in time or reasons to gather in person. What’s more, the benefits of in-person time—whether it’s for a weeklong on-site or a day here and there—should be weighed against things like travel and expenses, commuting, and creating space for deep work. As Klinghoffer says, “Ask yourself and your team: What are the moments that matter for us?”

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