Forgot password?
New to Digital Leadership? Create your account
Your e-mail address: * Your first name: *
Help us better understand the UNITE community
Our 35-page comprehensive innovation guide covers the key areas why innovation fails. While it cannot cover all the solutions (that would take books to fill), it provides you with a convenient starting point for your analysis and provides further resources and links to the corresponding UNITE models, ultimately allowing you to work towards a doubling and tripling your chances of success.
Discover the largest library of innovation & transformation tools on the internet!
Choose Your Password *
Confirm Your Password *
Already have an account? Log in
Country * Please Select Afghanistan Albania Algeria Andorra Angola Antigua and Barbuda Argentina Armenia Australia Austria Azerbaijan Bahamas Bahrain Bangladesh Barbados Belarus Belgium Belize Benin (Dahomey) Bolivia Bosnia and Herzegovina Botswana Brazil Brunei Brunswick and Lüneburg Bhutan Bulgaria Burkina Faso (Upper Volta) Burundi Cabo Verde Cambodia Cameroon Canada Cayman Islands Central African Republic Central American Federation Chad Chile China Colombia Comoros Congo Free State Costa Rica Cote d’Ivoire (Ivory Coast) Croatia Cuba Cyprus Czechia Democratic Republic of the Congo Denmark Djibouti Dominica Dominican Republic Ecuador Egypt El Salvador Equatorial Guinea Eritrea Estonia Eswatini Ethiopia Fiji Finland France Gabon Gambia Georgia Germany Ghana Grand Duchy of Tuscany Greece Grenada Guatemala Guinea Guinea-Bissau Guyana Haiti Holy See Honduras Hungary Iceland India Indonesia Iran Iraq Ireland Israel Italy Jamaica Japan Jordan Kazakhstan Kenya Kiribati Korea Kosovo Kuwait Kyrgyzstan Laos Latvia Lebanon Lesotho Liberia Libya Liechtenstein Lithuania Luxembourg Madagascar Malawi Malaysia Maldives Mali Malta Marshall Islands Mauritania Mauritius Mexico Micronesia Moldova Monaco Mongolia Montenegro Morocco Mozambique Myanmar Namibia Nassau Nauru Nepal Netherlands New Zealand Nicaragua Niger Nigeria North Macedonia Norway Oman Pakistan Palau Panama Papal States Papua New Guinea Paraguay Peru Philippines Piedmont-Sardinia Poland Portugal Qatar Republic of Congo Republic of Korea (South Korea) Republic of the Congo Romania Russia Rwanda Saint Kitts and Nevis Saint Lucia Saint Vincent and the Grenadines Samoa San Marino Sao Tome and Principe Saudi Arabia Schaumburg-Lippe Senegal Serbia Seychelles Sierra Leone Singapore Slovakia Slovenia Solomon Islands Somalia South Africa South Sudan Spain Sri Lanka Sudan Suriname Sweden Switzerland State of Palestine Syria Tajikistan Tanzania Thailand Timor-Leste Togo Tonga Trinidad and Tobago Tunisia Turkey Turkmenistan Tuvalu Uganda Ukraine United States United Arab Emirates United Kingdom Uruguay Uzbekistan Vanuatu Venezuela Vietnam Württemberg Yemen Zambia Zimbabwe Industry * Please Select Automotive, mobilty & transport Financial Services Chemical & agriculture Construction & Real Estate Consulting Education Energy Banking, insurance & FS FMCG Food Gov / Public Industry Health & lifestyle Logistics, Aero & Shipping Media & Entertainment Natural resources & mining Pharma & Biotech Retail & trade Tech & E-Commerce Telco Tourism design Information technology & services Management consulting Retail Pharmaceuticals International trade & development Professional training & coaching luxury goods & jewelry Automotive Insurance Mechanical or industrial engineering Company Size * XS - 1-10 S - 10-100 M - 100-1000 L - 1000-5000 XL - > 5000
Most of our models and canvases are designed to be applied!
To help you personalize them to your exact business requirements, you can download fully editable versions of the UNITE models available (PowerPoint format)!
They are straightforward to work with, and you can directly incorporate them into your presentations as you need…thus saving countless hours of replication!
PS: did you know that you are also getting hi-res print-ready versions for your workshops?
Each month we host our exclusive, invitation-only webinar series where one of our industry-leading experts updates our members on the latest news, progress and concepts around business strategy, innovation and digital transformation, as well as other related topics.
You will receive the book in PDF and EPUB formats, ideal for your computer, Kindle, Tablet or other eReading device.
These sessions are your opportunity to bring any questions or challenges you’re facing and receive expert guidance on the spot.
Come and be a part of engaging discussions where your unique concerns are heard and addressed.
If you are occasionally looking for a sparring partner or you need limited support, then this option will be ideal for you. Coaching sessions are 1-2 hours where we can discuss any challenge or opportunity you are currently facing.
If you need a few more hours outside of this provision, then these could be billed transparently.
We believe support shouldn’t be limited. Because we typically find that the occasional hour just doesn’t cut it – particularly if you and your team are in the midst of a large and complex project.
Your time with Stefan is therefore unlimited (fair usage applies) – in his function as coach and sparring partner. That does mean that you will still have to do the work – we cannot take that off you, unless you hire us as consultants. But you will get valuable strategic insight and direction to make sure you are always focusing your efforts where they will lead to the best results.
We believe support shouldn’t be limited. If you generally know what you are doing but want a sparring partner to frequently raise questions to, this is the perfect choice!
In addition to your monthly 1-1 live coaching sessions with Stefan, you will also get unlimited support from him via email and WhatsApp messaging (fair usage applies). This not only allows you to get valuable strategic direction in your calls, but also gives you instant access to expert help as you work through your plans each month.
The fact that support is text-based means that we can speed up our responses to you while keeping the overall cost of support down.
As a welcome gift, you will receive the both the digital and physical version of our book “How to Create Innovation”, which covers numerous relevant resources and provides additional deep dives into our UNITE models and concepts.
The print version will be shipped out to you on sign-up. The digital version will be emailed to you, and comes in PDF and EPUB formats, ideal for your computer, Kindle, Tablet or other eReading device.
1x major or 2x smaller workshops based on the UNITE models.
All of our Professional plans offer full access to the following:
We are currently in the process of launching our brand new community., we are designing our community to specifically help you:.
Cancelling your plan will deactivate your plan after the current billing period ends. You will not be charged further, but also won’t be able to access [exclusive features/services].
Simply fill out the below form and book in a time for our initial session that works for you. This initial session is free, no strings attached, and is where we can discuss your Blueprint needs more in-depth before moving forward.
Founder of digital leadership.
Partner for it strategy & business alignment.
Speak to our team today to find the best solution for your business to grow and scale.
We are here to support you across the entire lifecycle in all topics related to #digital, #innovation, #transformation and #marketing!
Stefan F. Dieffenbacher Founder of Digital Leadership
Contact form, contact details, book a call.
Title, first name & last name * Email address * Phone number Please let us know how we can best support you! *
By clicking “Send”, I agree to Terms of Service and Privacy Policy.
“Please be invited to reach out! We are happy to help and look forward to a first meeting!”
+41 (0) 44 562 42 24
Find a time on our calender that best suits you !
Founder and CEO of Digital Leadership
SCHEDULE YOUR INITIAL CALL
What is the main challenge you're currently facing in your business?
Let’s find the best solution for your business to grow and scale sustainably!
We will uncover your current business situation and goals and provide you with a bespoke solution that helps you drastically grow your business working with us.
Read the reviews and make sure that this is not a waste of time, but a super effective tool.
Schedule your free business assessment call with our founder.
On this call, we will uncover your current business situation and goals and talk about how to drive change and solve your need.
Choose the meeting type that applies to your needs and schedule a time to meet with someone from our team. We look forward to speaking with you soon!
Welcome to our scheduling page.
In a uniquely designed 60 or 90 minute session* , we will …
Based on the Blueprinting session, you will receive a tailored blueprint that aligns with your objectives, vision and goals, ensuring that your initiative is a success from start to finish.
In this session, you will be working together with Patrick Zimmermann, Associate Partner for Customer Experience
In this session, you will be working together with Dr. Andreas Rein, Partner at Digital Leadership for Culture & Org Change
In this session, you will be working together with Sascha Martini, Partner at Digital Leadership for Innovation and Digital Transformation
In this session, you will be working together with Stefan F. Dieffenbacher, Founder of Digital Leadership Stefan is a global thought leader in the innovation space
In this session, you will be working together with Adam D. Wisniewski, Partner for IT Strategy & Business Alignment
Write a personalized review! Log in
September 29, 2023
Strategic planning in education – 3 keys to success.
Effective strategic planning is critical for creating positive change in your district. Among the many benefits, strategic plans align educational partners with a shared vision, mission, and values; promote productive decision-making; and help students reach their full potential.
While having a plan in place will usually improve results, strategic planning can present challenges—resulting in endless meetings, countless goal and tactic revisions, and plans that are never fully realized.
In this post, we explore strategic planning in education, touch on some K-12 planning tips, and share three best practices for making strategic planning successful in your school district. With your community’s insights and the right tools, you can win at strategic planning. Here’s how.
See thoughtexchange in action — explore the product tour, what is strategic planning in education.
Strategic planning is the process of setting goals, deciding on actions to achieve those goals, and mobilizing the resources needed to take those actions. A strategic plan describes how goals will be achieved using available resources.
While the concept initially stemmed from business practices due to people moving from the private sector into educational leadership positions, many strategic planning tools and paradigms have been adapted to focus on engagement and consensus.
This is because effective strategic planning requires community support at the school district level, both functionally and legislatively. School districts of all sizes use strategic planning to improve student outcomes and respond to changing demographics while staying within the given funding box.
In top-performing schools, leaders have proactively shifted their strategic planning process to include their educational partners. They know that their strategic plans are more likely to succeed with community support and the insights that come with community engagement.
Strategic planning is key to setting students up for success in K-12 and beyond. A solid strategic plan articulates a shared vision, mission, and values, increasing engagement while providing a framework to ensure students’ needs are met so they can reach their full potential.
Your strategic plan will benefit from your district’s input. Here are a few effective ways to engage your district in K-12 strategic planning.
Your educational partners have valuable insights. Consult teachers, staff, students , parents, and community members throughout the planning process, so your strategy aligns with their perspectives.
Whether you’re setting strategy at the district, school, or department level, consulting diverse participants will uncover unbiased insights, enhance trust and buy-in, and ensure greater success with new strategic directions.
Using ThoughtExchange , leaders can scale their engagement to efficiently and effectively include their community in their district strategic plans.
Completed by all students, parents/guardians, and staff, school climate surveys allow leaders to collect participants’ perceptions about issues like school safety, bullying, and mental health and well-being, as well as the general school environment.
ThoughtExchange Surveys get you both nuanced qualitative and robust quantitative data with instant in-depth analysis, ensuring your district understands all angles of school climate. Run surveys independently or combine them with Exchanges for faster, more accurate results.
In-person gatherings like town halls, meetings, and listening tours are effective ways to understand your educational partners’ wants and needs to ensure they line up with your strategic priorities.
When managed effectively, they give staff and other educational partners the chance to closely interact. In-person gatherings can build trust and morale, promote transparency, and help create a sense of purpose.
Community engagement software lets you streamline your community engagement initiatives. It allows education leaders to gather feedback and get tens, hundreds, or even thousands of people on the same page in just days. It also facilitates candid, collaborative community conversations that help districts realize their goals.
A comprehensive community engagement platform like ThoughtExchange allows you to integrate your strategy with your community and take decisive, supported action in less time. It provides planning, scheduling, and analysis tools to help you quickly set strategy and monitor execution.
1. get everyone on the same page.
Make sure your educational partners are on the same page by allowing them to contribute to and shape your strategy from the start. Lack of alignment about what strategy involves can hinder even the best plans. So the first step in creating a successful strategic plan is getting everyone involved to provide their insights and opinions.
Letting your people know you’re listening and that their insights affect decisions, builds trust and buy-in. Your community will be much more likely to support—not sabotage—a strategy or decision.
According to ThinkStrategic , creating a school strategic plan should always be a collaborative process. Avoiding a top-down approach and getting input from educational partners will help minimize blind spots and unlock collective intelligence. It will also ensure everyone is committed to the plan. Get all community members involved in how to make the most of the school’s possibilities.
Commit to becoming a collaborative leader and put a plan in place to ensure you can achieve that goal. That may include implementing technology that can support scaled, real-time discussion safely and inclusively for students, teachers, and other educational partners.
Getting a holistic view of your educational partners’ wants and needs helps you build more inclusive, supported strategic plans.
Depend on a platform that meets all your engagement needs in one place—from surveys to Exchanges—and allows you to consult more people in an inclusive, anti-biased environment. You’ll reduce the time and resources spent on town halls and meetings, and reach your district’s goals more efficiently and effectively.
Engagement and survey software has been proven to contribute to more effective strategic planning in education. It empowers leaders to run and scale unbiased engagement initiatives where they can learn what the people who matter really think— explore ThoughtExchange success stories to learn more .
Responsible ai integration: 4 steps for education leaders.
Gain clarity, not clutter. Turn insights into action today.
Ready to see how the platform works?
Integrated AI-Analysis
Great! Before we connect you with a member of our team, tell us a bit about you!
Strategic Thinking In Education Leads to Building Effective Learning Strategies For Students – Within education, there is a pressing need to ensure everyone has the opportunity to succeed. The modern classroom requires teachers and administrators who understand what strategies will best help each student reach their full potential. Strategic thinking in education is essential for discovering effective learning tools and approaches tailored to each student’s needs. It all starts with creative thought and problem-solving, from innovative new technology to more traditional methods. Stuart Robinson NYU education activist, explores how strategic thinking can shape our classrooms into dynamic learning centers and propel students toward success on multiple levels.
Strategic thinking is analyzing, planning, and making decisions to achieve long-term goals. It involves thinking ahead and anticipating the possible outcomes of different actions. In education, strategic thinking is essential. Educators must identify students’ needs, plan appropriate learning activities, and create effective assessments to measure student progress. Furthermore, strategic thinking helps teachers stay ahead of the curve in an ever-changing education landscape. It is understanding the importance of strategic thinking in and out of the classroom. Developing strategic thinking skills early in life can significantly impact students’ future success and help them become critical thinkers and effective decision-makers.
Developing strategic thinking skills in students has become increasingly important in today’s complex world. These skills can help students analyze situations, solve problems, and make informed decisions. So, how can we develop these skills in students? Firstly, educators should encourage students to ask questions and think critically. Teachers can also engage students in decision-making, problem-solving, and brainstorming activities. Additionally, students can benefit from exposure to real-world scenarios, such as case studies, which can help them understand how to apply strategic thinking skills in practical situations. By providing opportunities for students to develop strategic thinking skills, we can equip them with the tools they need to succeed.
As educators, we constantly strive to provide a learning environment that encourages innovation and critical thinking. But how do we achieve this goal? According to Stuart Robinson NYU education activist, there are several effective strategies to promote innovation and critical thinking in the classroom. One such strategy is to provide students with hands-on learning experiences. Another effective approach is encouraging open-ended discussions that challenge students to think critically and analyze information from multiple perspectives. By implementing these and other strategies, we can help our students develop the skills and mindset necessary to succeed in today’s constantly evolving world.
Are you seeking ways to promote creative problem-solving in your workplace or personal life? Creating an environment that cultivates creativity takes a conscious effort and some changes in your daily routine. One way to foster creativity is to allow experimentation and mistakes without harsh consequences. Encouraging diverse perspectives and open communication can also lead to innovative solutions. In addition, taking time to step away from work and engage in activities that spark joy and curiosity can stimulate creative thoughts. By implementing these tips, you can establish a creative problem-solving environment that allows for growth and success.
Stuart Robinson NYU education activist, stresses the importance of incorporating technology into learning strategies to stay competitive in today’s fast-paced world. Traditional teaching methods may not be enough to meet the needs of modern learners. Digital tools like educational apps, interactive whiteboards, and online resources provide students personalized learning experiences and instant feedback. Technology can also enhance collaboration and communication among students and teachers. By embracing technology, educators can create engaging and interactive lessons and unleash the full potential of their students.
Teaching strategic thinking in education can open many doors for students in the classroom and their future careers. It’s no secret that the world is rapidly changing, and the ability to think strategically has become more important than ever. Instead of memorizing facts and figures, strategic thinkers analyze information and make informed decisions. This skill set allows them to approach problems comprehensively and develop creative solutions. It also helps students become flexible thinkers, adept at navigating the complex world of academia and the workplace. By honing their strategic thinking skills, students will be better equipped to take on any challenge that comes their way.
In conclusion, strategic thinking is a skill that allows students to think differently and explore endless possibilities in generating meaningful solutions. It encourages creative problem-solving, critical thinking, and innovation. Educators have an important role in fostering the development of strategic thinking skills in their students. By utilizing effective strategies for teaching this concept, such as incorporating technology into lessons, implementing activities that encourage creativity, designing learning environments that promote collaboration, and introducing students to various problem-solving tactics, educators can inject an exciting level of engaging learning experiences into classrooms. Developing strategic thinking skills can provide students with the necessary cognitive tools to excel in today’s world. To take the next step towards promoting these higher-order skills and preparing the next generation for success, incorporate approaches that emphasize creative analysis into lesson plans or create opportunities for students to put their critical thinking abilities into practice today.
More articles here – RaisingWorldChildren.com/magazine
Your email address will not be published. Required fields are marked *
This site uses Akismet to reduce spam. Learn how your comment data is processed .
© 2020 Raising World Children. All rights reserved.Website Designed & Developed by DevGraphix
In the rapidly evolving landscape of education, integrating smart classroom technology (SCT) is a transformative force, reshaping traditional paradigms and redefining the dynamics of teaching and learning. The study aims to investigate the transformative impact of SCT on educational practices, focusing on its effectiveness in enhancing student engagement, learning outcomes, and overall educational experience. The study analyzes the implementation of a smart classroom (SMR) system to enhance overall satisfaction and foster positive perceptions among students and faculty concerning the learning environment. The study employed a quantitative methodology and utilized the random sampling technique. The data were collected from 420 college students at different levels from junior level to senior category who received SMR education. The collected data were analyzed by using SPSS software. The findings indicate that incorporation of SCT systems positively impacts student engagement and participation levels in academic activities. The result underscores the role of SCT in fostering a dynamic learning environment that promotes active learning and knowledge retention among students, highlighting its outstanding academic significance in transforming traditional educational practices. The study contributes by examining the transformative potential of SMR systems in education, focusing on enhanced student engagement, collaboration, and digital literacy. Its novelty lies in revealing the positive impact on satisfaction and perceptions, heralding a new era of personalized learning experiences. Practical values of SMR technology include providing data for tailored instruction and enabling personalized learning through interactive whiteboards and digital textbooks. Academically, it enhances understanding and retention with multimedia resources that cater to diverse learning styles.
This is a preview of subscription content, log in via an institution to check access.
Subscribe and save.
Price includes VAT (Russian Federation)
Instant access to the full article PDF.
Rent this article via DeepDyve
Institutional subscriptions
Explore related subjects.
Authors and affiliations.
Trade Union, Nantong University, Nantong, Jiangsu, China
You can also search for this author in PubMed Google Scholar
Correspondence to Lu Xu .
Ethics approval.
This article does not contain any studies with human participants.
Informed consent was obtained from all individual participants included in the study.
Not applicable.
Human and animal rights.
This article does not contain any studies with human or animal subjects performed by any of the authors.
The author declares no competing interests.
Publisher's note.
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Section 1: demographic information:.
Name (Optional):
18—20 years
21—22 years
23 and above
College Year:
Others (please specify)
College/University:
Nankai University
Yangzhou University
Shihezi University
Nanchang University
Chongqing Technology and Business University
How familiar are you with the concept of an SMR system?
Very familiar
Somewhat familiar
Somewhat unfamiliar
Very unfamiliar
To what extent do you believe the implementation of an SMR system can positively impact AP?
Strong Disagree
Do you think utilizing advanced technology in classrooms will enhance students’ EP in academic activities?
In your opinion, will the integration of SMR tools lead to improved CC among students and faculty members?
Probably not
Do you believe students exposed to an SMR environment will demonstrate increased proficiency in DLS compared to those in traditional classrooms?
Strongly Believe
Do Not Believe
Strongly Do Not Believe
To what extent do you agree that the adoption of an SMR system will contribute to a more PAL experience for students, catering to diverse learning?
How do you think the implementation of an SMR system will impact overall satisfaction and perceptions among students and faculty regarding the learning environment?
Very positively
Very Negatively
How often do you engage in the SMR learning activity?
Do you think the use of SMR increased your AP?
Strongly disagree
Strongly agree
Do you believe SMR-based learning will help prepare you for future job opportunities?
Does SMR-based learning develop collaboration between students and teachers?
SMR education stimulates students to actively engage and participate in academic activities. Do you agree with this statement?
Is the SMR helpful for collecting worldwide data apart from your curriculum?
Does visualized learning develop your memory retention and develop your classroom discussion?
Does the SMR environment stimulate students to engage in the learning activities effectively?
SMR learning stimulated diverse learning styles among students. Do you agree with this statement?
Does SMR learning bring satisfaction to your learning experiences?
Do you think SMR has the potential to improve the academic outcomes of slow-learning students?
Does SMR develop communication among teachers and students?
Do you believe SMR is useful for accessing various resources for gathering details apart from the textbook content?
Which one would you feel is better for the learning process: traditional classroom or SMR learning?
Traditional class
Smart class
Please provide any additional comments or feedback regarding the implementation of an SMR system or any other factors you think are relevant to this study.
Thank you for participating in this survey! Your input is valuable for this research.
Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
Reprints and permissions
Xu, L. Navigating the Educational Landscape: The Transformative Power of Smart Classroom Technology. J Knowl Econ (2024). https://doi.org/10.1007/s13132-024-02233-z
Download citation
Received : 30 January 2024
Accepted : 24 July 2024
Published : 02 September 2024
DOI : https://doi.org/10.1007/s13132-024-02233-z
Anyone you share the following link with will be able to read this content:
Sorry, a shareable link is not currently available for this article.
Provided by the Springer Nature SharedIt content-sharing initiative
Teaching students about heartwood, true leadership is in short supply on modern college campuses, university of richmond expands richmond’s promise to virginia, china reshaping higher education with focus on quantum, deep tech workforce, anti-dei law shuts university of alabama black student union office, queer resource center, leadership models in higher education: insights from 2 arab university leaders, ai upskilling: future-proofing careers and bridging the skills gap, opinion | the roots of stem excellence, opinion: how innovative higher education models can benefit students, 34 points on strategic leadership in schools.
Modern educational leadership is complex and demanding. Challenges include reestablishing novel national visions, crafting new educational aims for schools, restructuring education systems at different levels, privatization, and diversifying school education, all at the macro-level, and being proactive in facing up to these contextual challenges using various strategies. Strategic leadership is strongly linked to the organization’s vision. Here are 34 points about strategic leadership in the school environment to prompt school administrators to action.
Vision is an essential part of strategic leadership. Without it, school staff and personnel aren’t working towards the same goal and therefore will find themselves at odds, slowing progress and impeding success. The following four points are essential for incorporating leadership vision in the school environment.
The development of strategic direction involves a process in which we don’t just look forward from the present, but we also establish a picture of what we want the school to look like in the future and set guidelines and frameworks on how to move forward to that position. As we have seen above, from the conversations with strategic leaders, there must a clear understanding of the direction the school is headed in. What strategic leaders need to do can be summarized by the strategic leadership points 5-8.
One key characteristic of strategic leaders is their ability to envision the different ways their organization might perform in future. They always have a desire to challenge the status quo and improve for the future. This means that strategic leaders have to deal constantly with their dissatisfaction with present arrangements, while facing the challenge that they are not able to change things as quickly as they might want. Leaders, as change agents in their organizations, constantly ask questions such as:
Wisdom in the context of strategic leadership is defined as the ability to take the right action at the right time. Strategic leaders need this kind of wisdom to successful foster school growth. Here are ten abilities that are central to using wisdom in strategic leadership.
Strategic leadership is a powerful tool for school reform. These final nine points regarding strategic leadership deal with school reform, and specifically how administrators can create meaningful change within their school environment.
Strategic leadership consists not only of the vision element in leadership ability, but also encompasses other wide-ranging factors. The question thus remains how we can develop a coherent model that informs us about what strategic leadership truly entails. These 34 points offer administrators a powerful place to start exploring strategic leadership, or to deepen their practice of it in an effort to continue to improve their school’s ability to success.
Traditional or alternate: what teacher preparation program ....
Related articles more from author, the seven principles of sustainable leadership.
Parental involvement in early childhood learning: a stitch in time saves nine.
Critical thinking is a fundamental skill that enables individuals to navigate the complexities of the modern world effectively. It is a disciplined process of actively and skillfully conceptualizing, applying, analyzing, synthesizing, and evaluating information gathered from various sources. As such, critical thinking should be a core component of education at all levels, as it equips students with the necessary tools to succeed academically, professionally, and personally.
Critical thinking is essential for academic success. It allows students to break down complex problems, evaluate evidence, and draw well-reasoned conclusions. A study conducted by the University of Louisville found that students who received explicit instruction in critical thinking skills demonstrated significant improvements in their overall academic performance.
In today’s rapidly changing world, the ability to think critically is crucial for generating innovative solutions to complex problems. Critical thinking enables individuals to question assumptions, consider alternative perspectives, and think outside the box. A survey by the American Management Association revealed that 77% of employers consider critical thinking a crucial skill for their employees.
Critical thinking is not just a skill but a mindset that can be applied throughout one’s life. By cultivating critical thinking abilities, students develop a love for learning and the confidence to tackle new challenges. A longitudinal study by the University of Michigan found that students who engaged in critical thinking activities in college were more likely to continue learning and adapting to new situations in their careers.
Critical thinking is essential for making ethical decisions in complex situations. It allows individuals to consider multiple perspectives, weigh the consequences of their actions, and make informed choices. A study by the Josephson Institute of Ethics revealed that 59% of high school students admitted to cheating on an exam in the past year, highlighting the need for stronger ethical reasoning skills.
Critical thinking is crucial for active and informed citizenship. It enables individuals to critically evaluate information, identify biases, and make well-reasoned decisions on important issues. A survey by the Pew Research Center found that only 26% of Americans could correctly answer a set of questions testing their civic knowledge.
In conclusion, critical thinking should be a core component of education because it enhances academic performance, fosters innovation and problem-solving, promotes lifelong learning, develops ethical decision-making, and enhances civic engagement. By prioritizing critical thinking in the classroom, educators can empower students to become independent, adaptable, and responsible citizens who are equipped to navigate the challenges of the 21st century.
Insights Success is an archway that caters to Entrepreneurs’ quench of technology and business updates which are currently ruling the business world.
We are ceaselessly proving the best platform for leading companies, which aids indefinite progress while creating meaningful learning experiences for the visitors and invaluable brand awareness for the clients.
MUMBAI, MAHARASHTRA, INDIA - 2022/08/20: A girl plays with Lego blocks at R City mall in Mumbai. ... [+] Lego group marked 90 years of play by introducing Lego playground at the mall where children used their ideas to create objects using Lego blocks. (Photo by Ashish Vaishnav/SOPA Images/LightRocket via Getty Images)
A recent special issue in the journal Gifted Child Today brought together experts to address the importance of spatial thinking in both research and practice. Here we get the perspectives of these experts on spatial skills across four main areas: What is spatial thinking and why does it matter? Why is it important to adequately measure spatial skills? Why does spatial reasoning matter for policy and practice? and Why do spatial skills matter for helping talented kids?
What is spatial thinking and why does it matter?
Danielle Rothschild, Kiley McKee , and David Uttal : Imagine that you are moving across the country and are packing all your belongings in a single truck. Each item varies wildly in both shape and size. To optimize the space that you have, you think about placement of each suitcase, piece of furniture and assorted lamps and how each item will fit together. This mental calculation of how objects fit together in a space is an example of spatial thinking. Spatial thinking broadly involves visualizing the locations of shapes and objects, and how they move and relate to each other ( Newcombe, 2010 ). Spatial thinking is important for a variety of other everyday tasks as well, such as navigating and using a map, assembling furniture, completing a puzzle, or even thinking about how you want to decorate a space.
Spatial thinking is an area of intelligence that many are not aware of, which is distinct from verbal and quantitative intelligence ( Atit et al., 2021 ; Shea et al., 2001 ). Additionally, spatial skills are often not highlighted in school curricula ( Lakin et al., 2024 ). Decades of research have shown that spatial ability is essential for the fields of science, technology, engineering and mathematics (STEM). Students with higher spatial ability tend to perform better in STEM fields and are more likely to go on to pursue careers in these fields ( Uttal & Cohen, 2012 ; Wai et al., 2009 ). This association between STEM and spatial thinking is particularly true for novice STEM learners ( Uttal & Cohen, 2012 ). For example, a chemistry teacher can rely on their years of expertise when discussing the structure of a water molecule, but a high school student taking their first chemistry class will likely have to heavily rely on their own spatial visualization capabilities to picture and understand the molecule and how the hydrogen and oxygen atoms interact with each other. The good news is that research has also shown that spatial skills are malleable , meaning they can be trained and improved ( Uttal et al., 2013 ). Increasing student’s spatial skills, particularly young student’s spatial skills, can open doors to a variety of different STEM-related fields.
Why is it important to adequately measure spatial skills?
Joni Lakin : Sometimes it's okay to recognize talent based on intuition or informal observation. Parents and family members often notice the strengths that their children demonstrate as they build complex designs from blocks, speak precociously to others, or demonstrate leadership on their sports team. In schools and formal education spaces, it’s harder to recognize talents because there are more students to focus on, more types of talents that may be demonstrated, and cultural differences that may mask talents to an observer from another culture. With spatial reasoning, recognizing talent is even more complex because it is not widely discussed or recognized, and the observers may not have that type of strength or noticed that talent area before.
In these cases, systematic and evidence-based talent identification is essential. Assessments provide more consistent and actionable information about students’ talents that can then inform how we shape these skills in students either through differentiation of instruction, special programs, or opportunities for independent projects.
Assessment doesn’t have to be a multiple-choice test. For spatial thinking, structured observations may work, such as assigning students to design 3D models and observing the variations in their designs. However, any assessment needs to consider the role of experience in performance. Spatial training is often self-selected, such as the types of video games a child prefers or how much time they spend building with blocks. Therefore, some children may not demonstrate a particular strength on an assessment due to lack of experience with the tasks rather than lack of ability. This is why it’s so important to provide exposure to spatial thinking to all students as well as to use evidence-based assessments to recognize spatial talents in schools.
Why does spatial reasoning matter for policy and practice?
Emily K. Farran : One of the top five most in-demand soft skills for technology employers is problem solving . Could training children to use spatial thinking reap long-term gains in problem solving skills and address the STEM workforce shortage? Drawing on research from my group and others, one promising avenue for increasing STEM competence is to focus on spatial training for young children. Children who learn to think spatially will reap the benefits in their STEM learning and problem solving. Yet many government policies designed to target STEM skills shortages focus on adolescents and young adults, ignoring the known benefits of targeting the early years.
What do I mean by spatial reasoning? Spatial reasoning is the ability to understand spatial relationships, and the spatial properties of objects such as their size and location, as well as the ability to visualise objects and problems in the mind. We use spatial reasoning everyday—you used it to navigate to where you are now, and to pack your bag this morning. Children are using it all the time when they hide objects in the sand, take their position on the carpet and during block play.
For mathematics specifically, there is compelling evidence that children with good spatial reasoning skills are also better at number and maths, and that spatial training leads not only to improved spatial reasoning, but to improved mathematics competence. For example, recent research has shown that teaching children to think spatially can increase their achievement in mathematics by the equivalent of half the annual gain in mathematics. Spatial training is particularly helpful in closing attainment gaps. This is likely because children from disadvantaged backgrounds typically have lower spatial skills and lower spatial language—they have the biggest room for growth. Including spatial reasoning in the curriculum has the potential to reinvigorate the way we teach children. What’s more—and particularly important for maths’ sometimes dull image—spatial activities are enjoyable and can improve attitudes to maths.
With the exception of some countries (e.g., Australia, parts of Canada, Finland), the school curriculum makes little reference to spatial reasoning. This limits practitioners’ freedom to include spatial activities in their teaching and curbs opportunities for professional learning on the importance of spatial thinking. Our work with nursery practitioners and early years teachers confirms that, due to this lack of emphasis, practitioners have low confidence in what spatial reasoning is and have limited training or subject knowledge in spatial thinking. We need curriculum reform, to include more explicit reference to spatial thinking in mathematics curriculum, with associated goals. For example, in England, I recommend bringing back the early learning goal of shape, space and measure. Furthermore, aligned with the curriculum, practitioners need professional development to be confident in teaching children to think and work spatially.
Even if curricula change, the question remains as to how practitioners can embed spatial reasoning into educational practice. It is widely recognized that the translation of research to practice is challenging in education. Research papers are not always accessible to practitioners, and practitioners do not always have the time to reflect on research findings. Similarly, researchers face difficulties in translating lab-based training to the classroom whilst maintaining effectiveness. Bi-directional communication between researchers and practitioners is needed to maximise the impact and utility of research findings for practical use in the classroom. Contributing to this conversation, we have produced the Spatial Reasoning Toolkit (SRT). The SRT is a set of resources for practitioners with the goal of ensuring that practitioners are equipped to spatialise their curricula, and that children are taught spatial abilities as a route to improving their mathematical skills. The SRT includes videos, keyrings, book lists, posters, a summary of research evidence and a developmental trajectory of spatial abilities. To-date there have been over 35,000 views of the SRT resources online and practitioners rate the SRT as very useful. Teachers say: “I have found your trajectories really specific and easy to use.” and “I think [my pupils are] coming out with better spatial reasoning than [the cohort] two years ago.” The SRT is just one effort to remove barriers to embedding spatial thinking into curricula. We hope that this is the beginning of a long and fruitful dialogue between researchers, policymakers and practitioners on the importance of spatial thinking.
Why do spatial skills matter for helping talented kids?
Paula Olszewski-Kubilius and Susan Corwith : Spatial thinking frequently shows up in daily life, is an asset to problem solving, and is important to many fields—including surgery, dentistry, physics, geology, and engineering—as documented by researchers. Schools, however, focus primarily on developing mathematical reasoning skills and verbal skills important for writing, reading, and communicating effectively.
While schools regularly assess skills in verbal and quantitative areas, they do not regularly assess spatial skills or spatial reasoning. This is unfortunate because there are many students with spatial reasoning strengths who do not have commensurate verbal or math reasoning strengths. Paying more deliberate attention to students' spatial ability can have a significant impact on individual talent development and help society benefit from more students' creativity and innovation. Because spatial reasoning is less correlated with family income than math and verbal reasoning, identifying spatial talent offers the opportunity to find talented children from low-income backgrounds.
Best 5% interest savings accounts of 2024.
The good news is that research also demonstrates that spatial skills are malleable and can be developed with inexpensive and easy to implement activities. By infusing opportunities such as block play and construction activities, design and maker activities, more use of graphs and visuals, or the use of spatial language, teachers can both support the development of basic spatial skills and highlight spatial strengths as students demonstrate them. Spatial ability can be developed through informal play and with intention in many types of courses as well (e.g., mathematics, architecture, engineering).
Thank you for visiting nature.com. You are using a browser version with limited support for CSS. To obtain the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles and JavaScript.
Humanities and Social Sciences Communications volume 11 , Article number: 1087 ( 2024 ) Cite this article
71 Accesses
Metrics details
This article studies educational decisions, focusing on intentions of enrolment in master’s education of STEM bachelor students. Integrating human capital theory with concepts of cultural and social capital, we propose a two-level model for the choice of pursuing master’s degrees. First level (individual) includes factors covering individual habitus and organisational habitus (higher education institutions of bachelor students), while the second level (local) reflects the local business innovation environment. The proposed model was empirically tested on data collected from a sample of STEM and non-STEM bachelor students enroled in 10 public universities located in Romania. The results show that STEM students display a higher propensity to enrol in master's education, and the gap between STEM and non-STEM majors varies across regions. We find that educational decisions related to master’s degrees are shaped by local circumstances reflecting the business innovation intensity as more innovative business contexts are less conducive for enrolment of students in master programmes. In addition, the findings of the study show that local circumstances are not independent of the field of study when shaping students’ educational choices, highlighting the complex way in which individual and local levels factors interplay and shape educational decisions. STEM students’ propensity to enrol in master’s degrees is more influenced by the innovative business environment than other students. This study has implications for higher education policy and practice aiming to support longer educational careers in STEM.
Introduction.
While there is a rich literature on the decision to enrol in higher education, lesser attention has been given to the transition from bachelor’s to master’s programmes (Mullen et al., 2003 ; English and Umbach, 2016 ), including in STEM (science, technology, engineering, and math) education. This paper contributes to the study of educational decisions, analysing the intentions of enrolment in master’s education of STEM bachelor students. The study is focused on the students’ decision of pursuing a master-level degree right after graduating bachelor’s studies. Master’s degrees offer graduates of undergraduate education the possibility to acquire deeper or additional skills and knowledge. Master-level programmes engage students in more advanced research methods and independent study while focusing on a narrower specialisation. It is believed that attaining master’s degrees brings significant individual and social benefits (English and Umbach, 2016 ) and supports scientific and technological advancement (Committee on Enhancing the Master’s degree in the Natural Sciences, 2008 ). Master’s degree attainment is consistently rising and understanding factors that shape the transition from bachelor’s to master’s is becoming increasingly important (English and Umbach, 2016 ). A better knowledge of the mechanisms behind this process is of interest to education researchers and practitioners.
According to Hossler and Gallagher’ ( 1987 ) 3-phase college-going model, the first stage of the educational choice is the predisposition phase in which students decide on pursuing or not a higher-level education programme. Following theoretical models developed for undergraduate enrolment, this paper is focused on the factors influencing the predisposition to pursue master’s degrees among final-year bachelor students in STEM and non-STEM fields. Early studies on graduate education relied on the idea of persistence or retention of students in the education system (Tinto, 1975 ; Pascarella and Terenzini, 1980 ). Developing theoretical models based on the literature on undergraduate college choice, more recent works understand students’ process of choosing to pursue a master’s degree as a new and distinct choice among possible post-graduation alternative options (English and Umbach, 2016 ).
Education decisions are shaped by a dense mix of mechanisms, including what individuals can do, what they want and conditions that shape individual preferences and intentions (Gambetta, 1987 ). Such mechanisms embed a wide range of individual, institutional and economic factors (Table 1 ).
Previous studies found significant heterogeneity among master’s degree students (O’Donnell et al., 2009 ; Jung and Li, 2021 ). On the one hand, demographic and background characteristics such as gender, race and age of the students, as well as their area of residence, influence their enrolment in master’s degrees (Perna, 2004 ; Schapiro et al., 1991 ; Xu, 2014 ; Allison and Ralston, 2018 ; Jung and Lee, 2019 ). For instance, the underrepresentation of women, as well as racial and ethnic minorities in STEM education has been analysed by numerous studies (Espinosa, 2011 ; Batsheva and Boards, 2019 ; McKinney et al., 2021 ). On the other hand, education decisions on whether or not to continue education are influenced by the expectations regarding academic success. Individuals with higher academic performances tend to take greater risks in this matter and enrol in higher levels of education (Latiesa, 1989 ; Mullen et al., 2003 ; Zamfir et al., 2021 ). According to Bourdieu ( 1977 ) theory on the role of cultural and social capital in education, parents’ education influences educational transitions as students with parents having a higher level of education are more likely to graduate at a higher education level (Jiménez and Salas-Velasco, 2000 ; Mullen et al., 2003 ; Zamfir et al., 2021 ). Family income is another factor of influence for educational careers. Students with better economic circumstances are more likely to enrol in higher-level courses (González and Dávila, 1998 ; DeBacker and Routon, 2021 ), including master’s degrees (Schapiro et al., 1991 ). Studies exploring the influence of the level of educational debt on decisions to attend graduate degrees have found mixed results (Schapiro et al., 1991 ; Weiler, 1994 ).
Other factors that shape educational choices are related to educational institutions. Quality and other characteristics of the academic environment influence educational choices and decisions in higher education (Kallio, 1995 ; Zhang, 2005 ; Zamfir et al., 2021 ). Educational careers are also shaped by the satisfaction of students with education. In general, the satisfaction of students with higher education is determined both by the perceived institutional performance and the perceived outcomes of institutional performance (Hartman and Schmidt, 1995 ). Moreover, it has been found that the type of university influences the transition from bachelor’s to master’s as students from research universities are more likely to pursue master’s degrees than those from teaching-oriented universities (Jung and Lee, 2019 ).
Previous research indicates a significant relationship between the field of study and the decision to pursue a master's education. It has been found that students from the arts stream are less predisposed to enrol in postgraduate studies compared to science stream students (Kong et al., 2015 ; Jung and Lee, 2019 ; Zamfir et al., 2021 ). Considering this difference between STEM and non-STEM students, it would be very important to better understand the variation between the two fields of study.
We know that investing in education fosters the accumulation of knowledge and skills, allowing individuals to have access to better job prospects and higher wages (Becker, 1962 , 1990 ; Thomas and Perna, 2004 ; Paulsen and Toutkoushian, 2008 ). According to the economics of education, investing in human capital is motivated by expected economic returns (Becker, 1962 , 1990 ; Thomas and Perna, 2004 ; Paulsen and Toutkoushian, 2008 ; Menon et al., 2017 ). Considering the human capital theory, the demand for higher education has been studied in relation to labour market factors such as the level of unemployment (Becker, 1964 ; Ashenfelter and Ham, 1979 ; Jiménez and Salas-Velasco, 2000 ) and expected earnings upon completion of a degree (Kodde, 1986 ). Expectations regarding monetary and non-monetary returns of education are relevant for educational choices (Altonji et al., 2015 ). Increased expected earnings have been found to positively influence the enrolment demand, particularly for post-graduate education (Handa and Skolnik, 1975 ). Jiménez and Salas-Velasco ( 2000 ) propose a model of factors determining educational choice, which includes objective and subjective determinants related to the current situation of the students, but also to the future, such as employment prospects and expected income. Additionally, students’ participation in the labour market influences their enrolment in master’s degrees (Zamfir et al., 2021 ).
Moreover, differences in pursuing master’s degrees in relation to students’ majors are mainly determined by differences in the expected benefits (English and Umbach, 2016 ; Zamfir et al., 2021 ). In general, STEM degrees bring higher returns (Burgess, 2016 ), encouraging individuals to pursue more education in related fields.
Returns to education are influenced by local conditions of the economic environment. Our previous results showed that local labour markets characterised by higher employment in science and technology increase the probability of bachelor students to enrol in master education. In addition, more dynamic local contexts with respect to earnings level, business demography, and business innovation discourage students from prolonging their education career, probably due to higher forgone earnings (Zamfir et al., 2021 ). From this point of view, it is possible that differences between the intentions of STEM and non-STEM students vary in relation to the local context.
In addition, the theory of skilled-biased technological change (Machin and Van Reenan, 1998 ) highlights the rising demand for higher skills in more technologically advanced contexts. Previous studies linked various proxies of technological change and innovation with a higher demand for skilled workers (Toner, 2011 ). Evidence suggests a virtuous circle between the education and skills of the workforce and business innovation capacity, as enterprises with a higher proportion of more skilled workers have a higher probability of introducing new products (Toner, 2011 ). From this point of view, one could expect contextual factors reflecting the business innovation environment to influence returns to education for STEM and non-STEM students in a different way. Thus, we draw on human capital theory while taking into consideration the business innovation environment for exploring the factors shaping the decision of enrolment in master’s degrees of STEM vs. non-STEM students. Detecting the factors that influence different educational choices of STEM and non-STEM students is useful for identifying effective measures for increasing participation in STEM master education. Promoting STEM education is considered a key element for driving innovation and economic growth worldwide.
Integrating human capital theory with concepts of cultural and social capital, Perna ( 2006 ) developed a model of college choice based on four layers: individual habitus, community and school context (organisational habitus), higher education context and socio-economic and policy context. Studying transition from undergraduate to graduate education, English and Umbach ( 2016 ) revise the approach of Perna ( 2006 ) and propose a two layers conceptual model integrating individual and institutional factors that influence students’ decision to pursue graduate education. The individual layer (habitus) includes demographic characteristics, cultural and social capital, academic achievement, supply of resources and expected benefits. The second layer covers features of the undergraduate institution context.
Building on the previous work of Perna ( 2006 ) and English and Umbach ( 2016 ) regarding the multiple layers of factors that influence educational choices, we take into account individual characteristics, as well as features of institutional and business innovation contexts that shape educational choices. Therefore, the objective of this paper is to propose and test a two-level model for the choice of pursuing a master’s degree that integrates individual and institutional factors with circumstances in the local business innovation environment. First level (individual) includes individual habitus and organisational habitus (higher education institutions of bachelor students, including enrolment in STEM vs. non-STEM fields). The second level (local) reflects local conditions concerning the business innovation environment. The second level recognises that the choice of pursuing master’s degree is influenced by wider forces and conditions that interplay with individual factors and shape individual preferences and intentions. The conceptual model of the current study is presented in Fig. 1 .
This figure illustrates the two-level model that integrates individual and institutional factors (level 1) with circumstances related to the local business innovation environment (level 2) influencing the choice of pursuing a master’s degree.
As has been shown before (Zamfir et al., 2021 ), STEM bachelor students display a higher propensity to enrol in master’s degrees than other students. In addition, previous results indicate that a more dynamic business innovation local context discourages students to pursue graduate education. By developing the two-level model for the choice of pursuing a master’s degree, this paper is focused on addressing the following research questions:
RQ1: Do STEM vs. non-STEM majors have different effects on intentions of pursuing master education in different local contexts?
RQ2: Does and how does the business innovation context interplay with STEM vs. non-STEM majors in shaping the predisposition of enrolment in master education?
In order to empirically test the proposed model, we integrated data from various administrative and statistical sources for a sample of students enroled in ten public universities located in Romania (out of a total of 54 public universities). In 2019, intentions of pursuing a master’s degree in the next school year (2020/2021) were collected via a questionnaire-based survey from 502 students enroled in their final year of bachelor studies (age M = 22.08, SD = 1.185; 273 (54.4%) men, 229 (45.6%) women) in various fields of education (medical studies, sports, military and defence have not been covered). Fields of study have been registered for each bachelor student, and two categories have been constructed: STEM and non-STEM fields. The final sample included 250 STEM students and 252 non-STEM students. For university quality, performance scores of higher education institutions have been retrieved from the national university ranking for 2019 (Guo et al., 2023 ). Also, individual and background characteristics (academic performance, parents’ education, subjective family income, gender, age, area of residence, employment status, working experience), as well as subjective expectations regarding economic benefits anticipated upon the completion of a master’s degree have been collected from students.
The second level of the indicators includes data on the economic context at local level, more specifically on the business innovation environment. Regional-level data on enterprises introducing product and/or process innovations have been retrieved from statistical sources (Romanian National Institute for Statistics). List and description of indicators and data sources are presented in the appendix.
Aiming to identify the main determinants of students’ intention in pursuing a master’s degree in the next year, we used a multilevel logistic regression analysis based on the hierarchical nature of the data (individuals from different universities that are placed in different regions), which includes the individual-level variables, and then explores whether university-level factors together with regional level indicators are significantly associated with the intention of pursuing a master programme.
In order to analyse the between-region variation while taking into account the influence of individual characteristics in the overall intention to enrol to a master programme, different types of two-level models were used. The general approach of constructing the models is presented in Fig. 2 . The first stage was to estimate a baseline random intercept model with no explanatory variables. This step is needed for establishing whether a multi-level approach is appropriate. The null or empty two-level model with only an intercept and region effects has the following form:
This figure presents the step-by-step approach of the statistical analysis, outlining different types of the estimated two-level models.
The intercept \({\beta }_{0}\) is shared by all regions, while the random effect \({u}_{0j}\) is specific to region j . The random effect is assumed to follow a normal distribution with variance \({\sigma }_{{uo}}^{2}\) . The baseline random intercept model with no explanatory variables was estimated using maximum likelihood estimation using adaptive quadrature. The log odds are the logarithm of the odds (i.e. the ratio between a probability value (Phi) and its complementary).
The second stage was to develop a model with first-level variables (i.e. individual-level) in order to test the impact of individual characteristics:
β 0 is interpreted as the log-odds that y = 1 when x = 0 and u = 0 and is referred to as the overall intercept in the linear relationship between the log-odds and x . If we take the exponential of β 0 , exp( β 0 ), we obtain the odds that y = 1 for x = 0 and u = 0. As in the single-level model, β 1 is the effect of a 1-unit change in x on the log-odds that y = 1, but it is now the effect of x after adjusting for (or holding constant) the group effect u . If we are holding u constant, then we are looking at the effect of x for individuals within the same group, so β 1 is usually referred to as a cluster-specific effect. Exp( β 1 ) can be interpreted as an odds ratio, comparing the odds that y = 1 for two individuals (in the same group) with x -values spaced 1 unit apart.
While β 0 is the overall intercept in the linear relationship between the log-odds and x , the intercept for a given group j is ( β 1 + u j ), which will be higher or lower than the overall intercept depending on whether u j is greater or less than zero. Therefore, u j is the group (random) effect, group residual, or level 2 residual. The response probabilities \({\pi }_{{ij}}\) can be expressed as follows:
At the second level, there will be added contextual factors to the model. In the third step, the logit random intercept model specification, including both individual-level explanatory variables, as well as region-level explanatory variables, is the following:
where: \({\beta }_{0}\) is the overall intercept, \({\beta }_{1}\) is the cluster-specific effect, \({\beta }_{2}\) is the contextual effect, X ij is the vector containing individual-level explanatory variables, X j is the vector containing region-level explanatory variables, and u j is the group (random) effect. The log odds are the logarithm of the odds (i.e. the ratio between a probability value (Phi) and its complementary).
Additionally, we test interaction effects exploring the possibility of the effect of one independent variable on the outcome to vary with the value of another explanatory variable. An interaction between a level 1 variable and a level 2 variable is called a ‘cross-level interaction’. Furthermore, it was worth to test if the effect of contextual regional factors on the decision of applying to a master programme depends on level 1 characteristics. Therefore, in the fourth step, we have estimated random intercept models with cross-level interactions.
In the random intercept models, the model intercept varies randomly across regions and the main assumption was that the coefficients of all explanatory variables are fixed across regions.
In the last stage, assuming that the decision of applying for a master's degree could vary across regions depending on the field of study—STEM (science, technology, engineering, math) and non-STEM, random slope models have been estimated, allowing for both the intercept and the coefficient of field of study to vary randomly across regions, also including cross-level interactions.
In a random slope model, a group-level random term u j has been included as a linear predictor of the model.
\({X}_{{ij}}\cdot {u}_{1j}\) is a new term to the model, 0 is the subscript for the intercept residual, random effects \({u}_{1j},\,{u}_{0j}\) are normally distributed with the variances \({\sigma }_{u1}^{2},\) \({\sigma }_{u0}^{2}\) and the covariance \({\sigma }_{u01}\) .
The extension from random intercepts to random slopes has introduced two new parameters to the model— \({\sigma }_{u1}^{2}\) and \({\sigma }_{u01}\) carrying out a test of the null hypothesis that both are equal to zero.
Also, regions showing an above-average positive relationship between the field of study and master enrolment intention will have \({u}_{1j}\, > \,0\) , while regions with a below-average positive (or possibly negative) relationship between the field of study and master enrolment intention will have \({u}_{1j}\, < \,0\) .
In order to test whether the effect of STEM compared with non-STEM fields varies across regions, a likelihood ratio test was applied, taking into account the difference in the log-likelihood values between the model with and without the random slope on STEM.
Results of the estimated models.
Concerning the predisposition phase in which students decide on pursuing a higher-level education programme, 53.6% of the total students report that they have the intention to enrol in a master's programme in the next year. Such intentions are more prevalent among STEM students (62%) than non-STEM students (45.2%). On the other hand, the Kruskal–Wallis test indicates statistically significant differences in this intention among students from different regions or universities. The empirical results indicate that students from the Bucharest region display the highest propensity to enrol in master's education.
The two-level model was used to allow for correlation between master enrolment intentions of individuals in the same region and to explore the extent of between-regions variation. The empirical results of the random intercept model with no explanatory variables revealed that the multilevel approach is suitable and estimated the log-odds of enrolment for an ‘average’ region to the value of 0.145. With a standard error of 0.086, we estimate the between-region variation of the log-odds of enrolment in a master programme at 0.094%. Also, the empirical results of the Wald test proved that there is a statistically significant variation between regions regarding the share of those applying for a master's programme. Based on the value of the between-regions variance (0.094), the variance partition coefficient (VPC) highlighted that 2.77% of the residual variation in the propensity of enrolment in a master programme is attributable to unobserved regional characteristics, indicating that almost 3% of the variance in applying to a master programme can be attributed to differences between regions. When exploring the university characteristics, the empirical results revealed the between-university variance of the log-odds of enrolment in a master programme estimated as 0.81 with a standard error of 0.50, and the Wald test pointed out a significant variation between universities in the proportion of those applying for a master programme. Based on the value of the between-university variance (0.81), the variance partition coefficient (VPC = 19.75%) indicated that almost 20% of the variance in applying to a master programme can be attributed to differences between universities. Thus, we have developed a two-step iterative procedure, building firstly a model only with individual level characteristics and then incorporating both level 1 and level 2 indicators, as well as interaction effects.
Table 2 reports the results of the random intercept models that only include the individual level variables , namely student-level predictors for model I, as well as university-level predictors for model II. The empirical results for the individual level variables pointed out the lack of significance for the association between gender, age, subjective income, expected full-time wage for a person who graduated a master degree or perceived share of unemployed with master’s degree. On the other hand, variables such as average grade, higher education of the father, seniority, or the type of working contract significantly influence the decision of applying to a master programme. Those with higher grades are significantly more inclined to apply for a master's degree, and so are students whose fathers graduated from higher education and students who work on a full-time contract. Additionally, students from rural areas and those with longer working experience have a lower propensity for enroling in master’s degrees. Perceived benefits associated with the graduation of a master's education in terms of wages and employment have no significant influence on the intention of enrolment.
Considering the variation induced by university-level factors, Model II shows that students enroled in non-STEM fields are less inclined to apply for a master's programme compared with those studying STEM disciplines, but the coefficient suffers from a lack of statistical significance at this point. Also, in the case of this model, the empirical results did not support the hypothesis that students decide to enroll in a master's program influenced by university performance.
Table 3 reports the results of the random intercept models that include the individual level variables (students and university characteristics) for model I and also region-level predictors for models II and III, together with the cross-level interaction terms. The findings of the random intercept model incorporating the individual level characteristics revealed that STEM students have a significantly higher predisposition to enrol to master education than non-STEM students. Also, the empirical findings indicate the positive influence of the university performance on the decision of students to enrol in master programmes. With respect to the individual factors introduced in the model, the results confirm that students with higher grades, those working full time and those whose fathers graduated higher education are more likely to apply for a master’s degree. On the other hand, students who have been employed for a longer period are less likely to pursue a graduate degree. The statistical significance of the above-mentioned individual variables preserved in all models. On the other hand, the intention to apply to a master’s programme remains unaffected by gender, age, residence area, subjective income, perceptions of the full-time wage of people with a master’s degree, or the percentage of unemployed people with a master’s degree.
Analysis of residual level-2 region effects (with only the individual characteristics-model I) supports the hypothesis that there are important differences among regions. North-West and Soth-West are the regions with the lowest probability of applying to a master programme (largest negative values of uj ) for which the confidence intervals do not overlap with 0, indicating that they have a significantly lower probability of enrolment than the average region. At the upper end, Bucharest-Ilfov and Centre are the regions with intervals that do not overlap with 0 with the highest response probability (largest positive values of uj), indicating a significantly higher probability of applying to a master programme compared with the region average.
Considering the regional context, model II indicates that the percentage of businesses that introduce product innovations has a detrimental effect on the choice to apply to a master programme. It appears that a more innovative corporate environment might provide alternative incentives for students making them less likely to enrol in master’s programmes.
In addition, model III analyses cross-level interactions between the field of study and the intensity of business innovation. Results show that STEM students are more impacted by the share of enterprises introducing product innovations than non-STEM students when deciding whether or not to apply to graduate school. On the other hand, the percentage of enterprises that introduce process innovations and enterprises that introduce product and process innovations exhibit no influence on the intention to pursue a master’s program.
Until now, we have found that the intention of enrolment in a master programme depends on several student, university, and regional innovation characteristics and this was achieved by allowing the models intercept to vary randomly across communities in random intercept models. We have assumed that the effects of individual characteristics are the same in each region, i.e. the coefficients of explanatory variables are fixed across regions.
In this stage, we extend the random intercept model, allowing both the intercept and the coefficient of one of the explanatory variables to vary randomly across regions, making the assumption that the probability to apply to a master programme could vary from region to region depending on STEM vs. non-STEM majors. Random slope models with both individual variables and regional level variables together with cross-level interaction have been estimated and the empirical results are presented in Table 4 .
Thus, the model of master’s programme enrolment intentions was updated to compensate for variances in STEM vs. non-STEM disparities among regions. It is assumed that the only variation in the association between the field of study and region is in the difference between STEM and non-STEM in this model, which allows for various probabilities of master enrolment for different fields of study (as in the random intercept model above). It is calculated for Model I with just level 1 individual variables that the coefficient of the field of education (the difference between STEM and non-STEM) is 0.835 + u 1 j in the corresponding region j . STEM field has a random coefficient, which suggests that the variance between regions relies on the field of education (STEM vs. non-STEM). Master programme enrolment chances differ between STEM and non-STEM fields by 0.062 and 1.29, with the intercept variance interpreted as the between-region variation in log-odds, respectively. As a result of the negative intercept-slope covariance estimate, it may be concluded that regions with an above-average likelihood of master’s degree enrolment (intercept residual u 1 j > 0, slope residual u 1 j < 0) are likely to have lower-than-average impact on STEM field. Based on the LR test, where the null hypothesis of no region variation in the difference between STEM and non-STEM students was tested, we may infer that the gap between the two educational fields does indeed change between regions. The difference between communities is now calculated as follows:
=0.062–0.215 \({x}_{{ij}}\) + 1.29 \({x}_{{ij}}^{2}\) which because STEM students ( x ij ) can only take values of 0 and 1, simplifies to: 0.062 for STEM = 0 and 1.137 for STEM = 1. Therefore, between-region differences in the intention of applying to a masters' programme are greater for STEM students, while regional variation for non-STEM students is lower.
As in the case of random intercept models, STEM students have higher propensity for enroling in masters' education. Also, the intention of applying to a master's program is influenced by academic performance, the higher education of the father, work seniority, and a full-time working contract (Model I), and the significance of these variables is preserved in all models.
Adding and testing the region variables show that the share of enterprises introducing product innovations negatively impacts the decision of applying to a master programme (Model II). Thus, regions with higher shares of innovative enterprises are characterised by a lower propensity of students to enrol in masters' education. A more innovative business sector discourages Romanian students to prolong their educational careers, offering attractive incentives to enter labour market after bachelor’s degree.
Moreover, the effect of the proportion of enterprises introducing product innovations affects the decision of applying for a masters' programme more effectively for STEM students compared with non-STEM students (Model II). For an increase in the proportion of enterprises with product innovation, the effect positively depends on the field of education and the effect will be higher for STEM students. So, the influence of a more innovative business context is higher among STEM students than non-STEM students. This cross-level interaction between the major of the students and the innovation intensity from the regional level indicates why and how the differences between STEM and non-STEM students in terms of master enrolment are not similar across regions.
Choice of enrolment in master education.
This study supports recent educational choice models that include along with the insights from the human capital theory, cultural and social capital embedded in individual characteristics and background (Perna, 2006 ; English and Umbach, 2016 ). Thus, our results confirm the influence of various individual-level factors shaping the decision of prolonging the educational career. Similar to the findings of other scholars (Latiesa, 1989 ; Mullen et al., 2003 ; English and Umbach, 2016 ; Zamfir et al., 2021 ), we found that students with higher academic performances are more interested to continue their education with a master degree, suggesting that the grades’ level influences perceived academic self-efficacy and expectations regarding future academic success, encouraging or discouraging students to continue their education. With respect to cultural capital, our results point out that higher education attainment of the father is associated with a higher propensity of enrolment in a master's programme. This is according to the theory of Bourdieu ( 1977 ) linking educational success to the possession of embodied cultural capital, which determines cultural and social reproduction across generations. With respect to institutional factors, we found that the performance of universities influences the intentions of students to pursue master programmes. It seems that students in universities with higher performance are more satisfied and more inclined to enrol in master programmes.
Furthermore, our results provide evidence supporting the influence of predictors derived from the human capital theory, with some particular aspects that appear in relation to master education. First, our expectations concerning the influence of traditional predictors, such as the perceived benefits upon completion of the education programme were not confirmed. Instead, variables related to the individual demand for specialised skills were found to significantly influence the predisposition of bachelor students to enrol in master education. We found that students working full-time are more inclined to apply for a master's programme than those not working. As attending master programmes is a way of acquiring specialised skills, those working are those who can use such skills and benefit from them. The demand for specialised skills is higher among those who work full time, suggesting that students who work expect higher returns from pursuing a master’s degree than those not working. The latter are less likely to take the risk of accumulating more education for future gains than those who are full-time employed. Master programmes are seen to bring higher returns for insiders on the labour market, rather than for outsiders. This is consistent with the theory that “insiders” often enjoy better employment opportunities than the “outsiders” (Lindbeck and Snower, 2001 ), allowing them to benefit more from continuing their education at master-level. On the other hand, seniority is associated with a decrease in the predisposition of applying to a master programme. As individuals accumulate experience in the workplace, they are no longer in demand for acquiring specialised skills. So, we can consider that master programmes are seen as providing specialised skills required on the labour market, necessary for those who didn’t acquire such skills by longer working experience.
First, the current study confirms that predisposition for pursuing master’s degrees is influenced by the field of education. We found that, generally, STEM students are more interested in master’s degrees than non-STEM students. It suggests that both the demand for highly specialised skills and advantages obtained by master graduates vary in relation to STEM vs. non-STEM fields (Lee et al., 2020 ).
On the other hand, we find evidence indicating significant regional variability in the intentions of enroling in master programmes. This is in line with the idea that returns to education vary across regions within a country (Backman, 2013 ) as the gains from education are determined by the local labour market (Combes et al., 2008 ). According to the new economic geography theory (Krugman, 1991 ), core regions provide higher returns than other regions. Our results confirm this perspective and show that intentions of enrolment in master education are higher in large regions with intensive economic activity, such as the Bucharest-Ilfov region, which includes the capital of the country.
More importantly, our results show that the local context is not independent of the field of education when shaping students’ educational choices. There is a significant regional variation in the difference between STEM and non-STEM students. According to our findings, between-region differences in the intention of applying to a master programme vary in relation with the field of education, showing the complex way in which local conditions interplay with graduating STEM vs. non-STEM fields. So, differences between the propensity of STEM and non-STEM students to enrol in master education varies across local contexts.
More exactly, between-region differences in the intention of applying to a master's programme are greater for STEM students than for non-STEM students. This is consistent with the concept of constrained choice, reflecting the way structural factors interplay with individual decision-making and influence the educational pathways of students (Kurlaender and Hibel, 2018 ). So, our results suggest that decisions of STEM students in relation to master education are more sensible to the local context factors, while choices of non-STEM students are more invariant across regions. As a result, the difference between the intentions of STEM and non-STEM students varies in relation to the local context, further confirming the theory that core regions provide higher returns to the accumulation of master education than other regions.
The empirical results confirmed the influence of local-level factors and showed that the intensity of the business innovation is of relevance. We found evidence that more innovative business contexts are less conducive to the enrolment of students in master programmes. Our results suggest that students living in regions with more developed business innovation display a lower propensity to pursue master programmes, probably due to higher foregone earnings. From this point of view, more innovative economic environments act as a pull mechanism for bachelor graduates, preventing them to prolong their educational careers.
Moreover, innovative business environments discourage more STEM students from further continuing their education. These students are probably those who expect higher immediate earnings in enterprises introducing product innovations, preventing them from further enrol in master education. On the other hand, non-STEM students are less influenced by the regional innovation conditions and their intentions to pursue master education are more invariant across regions. Our findings suggest that forgone and future earnings of non-STEM students are more similar across regions with different levels of business innovation intensity. This suggests that immediate earnings available to non-STEM graduates are less fuelled by the local innovation ecosystem.
So, in general, after controlling for various individual and institutional factors, STEM students are more interested in pursuing master's education than non-STEM students, suggesting that they anticipate higher returns when accumulating master-level education. However, STEM students’ intentions are more influenced by the regional innovation conditions as they are more discouraged to enrol in master education than other students by more innovative business contexts. It seems that such contexts provide immediate attractive incentives for STEM bachelor graduates, preventing them from further investing in master's education. Individuals decide to further accumulate human capital as long as they anticipate that future additional earnings are higher than the direct and indirect costs of continuing education. From this point of view, our results suggest that STEM bachelor graduates in innovative business contexts are discouraged from continuing formal education due to higher immediate earnings. On the other hand, enterprises with a higher propensity to innovation are also the ones providing more employer-funded training (Toner et al., 2004 ). This could represent an alternative way to acquire specialised skills, replacing the demand for master's education.
The proposed model should be further tested on more comprehensive sets of data, covering more variate educational and economic contexts. Regarding the relevance of our findings to other contexts, one has to consider the economic, cultural, and educational diversity of different regions. For instance, countries with more developed innovative ecosystems and strong links between education and industry may display a more positive influence of business innovation on participation in master education. On the other hand, the influence could differ in regions where the innovation ecosystem is developing or educational systems are less connected with the industry. Acknowledging the study’s geographic limitation is important. While the results provide valuable insights into the relationship between master education and regional innovation conditions in Romania, these findings may not be relevant to other contexts without considering differences in education and economic systems. This limitation points to the need for localised studies or comparative research addressing similar research questions. Future research that can address such limitations and explore the model’s relevance in varied contexts can include cross-country comparative studies.
Educational decisions are an important topic of study for education research. The results of this study are in line with recent educational choice models that include individual, institutional and economic characteristics among factors shaping decisions of enrolment in master education (Perna, 2006 ; English and Umbach, 2016 ). Consistent with Bourdieu's ( 1977 ) theory, we found that parent education and academic performances predict the propensity towards master education, confirming the results of previous studies (González and Dávila, 1998 ; Latiesa, 1989 ; Jiménez and Salas-Velasco, 2000 ; Mullen et al., 2003 ; Perna, 2004 ; Xu, 2014 ). Also, according to our results, university performances shape the intentions of students to pursue master’s degrees, supporting conclusions of other studies (Schapiro et al., 1991 ; Hartman and Schmidt, 1995 ; Kallio, 1995 ; Zhang, 2005 ). In addition, we provide evidence that the expected benefits of a master's education are higher among full-time workers, especially at the beginning of their careers.
On the other hand, our study complements the literature in the field of master’s degree attainment in STEM education. With respect to differences across fields of study, we show that STEM students are more interested in master’s degrees than non-STEM students. This research covers a knowledge gap related to the extent to which differences between STEM and non-STEM majors are influenced by local contexts and economic conditions. More exactly, the proposed model and our empirical results provide a better understanding of the local context's influence on the educational choices of STEM and non-STEM bachelor students. By employing a multi-level model, we confirm that educational choices are shaped by a dense combination of factors, including individual, university and local level factors. Moreover, we show that the influence of local circumstances depends on the individual-level factors. Local conditions regarding business innovation influence educational choices differently in relation to the field of education. STEM students’ propensity to enrol in master’s degrees is more influenced by the innovation environment than other students.
Understanding how individual, institutional, and contextual factors influence the intention to pursue master’s degrees can be beneficial for improving STEM master’s level programmes efficacy. Our study allows the formulation of several recommendations and implications for STEM higher education policy and practice, including for the widening participation agenda.
First, our study confirms that, in general, the propensity to a linear transition from bachelor to master’s degrees is higher for specific groups of students, such as students with better academic performances, those from families with higher educational attainment, students working full time and those at the beginning of their working history. From this perspective, universities need to find mechanisms for enhancing the access of students with lower grades or from less educated families to master-level education and to adapt the way such programmes are delivered to the needs of working students in early career stages. In particular, financial support schemes could be beneficial for students interested to pursue master's education but are discouraged by the opportunity cost of not entering the labour market immediately. Such support schemes would include scholarships and special loan conditions available for students from less advantaged backgrounds. Moreover, master programmes are expected to provide specialised skills that are used in the workplace. Thus, universities need to enhance their link with the world of work and design master programmes that are closer to the skills demands of the companies. Educational institutions should revise curricula to increase their relevance and strengthen partnerships with the industry to provide flexible, relevant learning opportunities and practical work experience for students, matching education with the demands of business environments. For instance, collaborative programmes between businesses and universities could provide opportunities for students to acquire practical experience through work-based learning while still enabling students to pursue master-level education. Such an approach combines the benefits of immediate job placement with ongoing education. Also, by improving the overall quality of their educational process, universities can expect to retain more bachelor graduates in their master's programmes.
Second, our results show that STEM bachelor graduates anticipate unattractive net benefits from pursuing master's education in more innovative business contexts, probably due to higher forgone earnings. This conclusion is consistent with the idea that highly innovative local contexts attract highly skilled people and talents to a greater extent (Toner, 2011 ). In such dynamic innovation landscapes, STEM educational institutions need to strengthen their synergy with the local business sector and improve opportunities for master students to work while studying. Thus, providing incentives and developing collaborative structures between universities and the business environment could balance immediate job opportunities with increased long-term returns of continued education for STEM graduates in innovative regional contexts. For instance, tax incentives granted to enterprises that stimulate employees to pursue master's education through funding or paid leave could help mitigate the trade-off STEM graduates face between full-time immediate employment in innovative enterprises and continuing education. In addition, more flexible learning pathways would allow STEM students to engage with the industry while pursuing master's studies. This could include part-time study options, industry placements as part of the learning programmes, or projects in collaboration with local businesses. In particular, expanding dual education within STEM master programmes would be beneficial for retaining bachelor graduates and improving the capacity of STEM education to respond to local skills demand. In addition, career guidance services should be enhanced to better inform undergraduate students about the long-term returns of master's education versus the immediate benefits of entering employment. This guidance should be tailored to the specific context of the students’ major and regional innovation environment.
We conclude that human capital theory continues to provide a valuable framework for understanding educational choices, especially in the case of STEM fields. Future research will focus on longitudinal studies to track STEM and non-STEM graduates’ long-term career outcomes. This would offer insights into the relevance of masters' education for the skills demands of local industries. Comparative studies across different regional innovation ecosystems can also shed light on how specific local conditions allow graduates of various fields of education to benefit from pursuing masters' education. From the methodological perspective, this study highlights the importance of robust approaches to understand the complex dynamics between education, career choices and local economic contexts. Future research should consider mixed methods designs that combine quantitative analysis with qualitative insights from students, educational institutions and industry stakeholders. This would offer an in-depth understanding of graduates’ motivations, barriers, and opportunities.
The survey dataset analysed during the current study is available as a supplementary file.
Allison R, Ralston M (2018) Gender, anticipated family formation, and graduate school expectations among undergraduates. Sociol Forum 33:95–117. https://doi.org/10.1111/socf.12400
Article Google Scholar
Altonji, J, Arcidiacono P, Maurel A (2015) The analysis of field choice in college and graduate school: determinants and wage effects. Technical report, National Bureau of Economic Research, Cambridge, MA
Ashenfelter O, Ham J (1979) Education, unemployment, and earnings. J Political Econ 87(5):S99–S116. http://www.jstor.org/stable/1829910
Zamfir AM, Mocanu C, Davidescu AA (2021) What encourages longer educational careers in tertiary education? A three-level approach for the case of Romanian universities. Int J Environ Res Public Health 18(23):12864
Article PubMed PubMed Central Google Scholar
Backman M (2013) Regional variation of returns to education. Working paper series in economics and institutions of innovation 300. Royal Institute of Technology, CESIS—Centre of Excellence for Science and Innovation Studies
Batsheva G, Boards A (2019) A seat at the table: exploring the experiences of underrepresented minority women in STEM graduate programs. J Prev Interv Community 47(4):354–365. https://doi.org/10.1080/10852352.2019.1617383
Becker GS (1962) Investment in human capital: a theoretical analysis. J Political Econ 70(5):9–49. http://www.jstor.org/stable/1829103
Becker GS (1964) Human capital theory. Columbia, New York, 1964
Becker WE (1990) The demand for higher education. In Hoenack SA, Collins EL (eds.) The economics of American Universities. State University of New York Press, Albany, pp. 155–188
Bourdieu P (1977) Cultural reproduction and social reproduction. In Karabel J, Halsey A (eds.) Power and ideology in education. Oxford University Press, New York
Burgess S (2016) Human capital and education: the state of the art in the economics of education. IZA DP No. 9885. https://repec.iza.org/dp9885.pdf
Combes P, Duranton G, Gobillon L (2008) Spatial wage disparities: sorting matters! J Urban Econ 63:723–742. https://doi.org/10.1016/j.jue.2007.04.004
Committee on Enhancing the Master’s degree in the Natural Sciences (2008) Science professionals: master’s education for a competitive world. National Academies Press, Washington, DC
DeBacker JM, Routon PW (2021) A culture of despair? Inequality and expectations of educational success. Contemp Econ Policy 39:573–588. https://doi.org/10.1111/coep.12528
English D, Umbach PD (2016) Graduate school choice: an examination of individual and institutional effects. Rev High Educ 39(2):173–211. https://doi.org/10.1353/rhe.2016.0001
Espinosa LL (2011) Pipelines and pathways: women of color in undergraduate STEM majors and the college experiences that contribute to persistence. Harv Educ Rev 81(2):209–240. https://doi.org/10.17763/haer.81.2.92315ww157656k3u
Article MathSciNet Google Scholar
Gambetta D (1987) Were they pushed or did they jump? Individual decision mechanisms in education. Cambridge University Press, Cambridge
González B, Dávila D (1998) Economic and cultural impediments to university education in Spain. Econ Educ Rev 17:93–103. https://doi.org/10.1016/S0272-7757(97)00010-1
Guo C, Hao X, Wu J et al. (2023) The effect of national higher education initiatives on university rankings. Humanit Soc Sci Commun 10:527. https://doi.org/10.1057/s41599-023-02034-w
Handa ML, Skolnik ML (1975) Unemployment, expected returns, and the demand for university education in Ontario: some empirical results. High Educ 4:27–43. https://doi.org/10.1007/BF01569100
Hartman DE, Schmidt SL (1995) Understanding student/alumni satisfaction from a consumer’s perspective: the effects of institutional performance and program outcomes. Res High Educ 36(2):197–217. https://doi.org/10.1007/BF02207788
Hossler D, Gallagher K (1987) Studying student college choice: a three-phase model and the implications for policymakers. Coll Univ 62(3):207–221
Google Scholar
Jiménez JDD, Salas-Velasco M (2000) Modeling educational choices. A binomial logit model applied to the demand for higher education. High Educ 40:293–311. https://doi.org/10.1023/A:1004098300436
Jung J, Li X (2021) Exploring motivations of a master’s degree pursuit in Hong Kong. High Educ Q 75:321–332. https://doi.org/10.1111/hequ.12276
Jung J, Lee SJ (2019) Exploring the factors of pursuing a master’s degree in South Korea. High Educ 78:855–870. https://doi.org/10.1007/s10734-019-00374-8
Kallio RE (1995) Factors influencing the college choice decisions of graduate students. Res High Educ 36(1):109–124. http://www.jstor.org/stable/40196181
Kodde DA (1986) Uncertainty and the demand for education. Rev Econ Stat 68(3):460–467. https://doi.org/10.2307/1926023
Kong KC, Kok LH, Fernandez JL (2015) Factors that influence the decision to pursue studies or work after graduation: a study among final year undergraduates in Universiti Sains Malaysia. In: Conference proceedings of Social Sciences Postgraduate International Seminar (SSPIS), School of Social Sciences, Pulau Pinang, Malaysia, pp. 250–260
Krugman P (1991) Increasing returns and economic geography. J Pol Econ 99(3):483–499
Kurlaender M, Hibel J (2018) Students’ educational pathways: aspirations, decisions, and constrained choices along the education lifecourse. In: Schneider (ed) Handbook of the sociology of education in the 21st century. Springer, pp. 361–385
Latiesa M (1989) Demanda de educación superior: evaluaciones y condicionamientos de los estudiantes en la elección de carrera. REIS 46:101–139
Lee SJ, Kim S, Jung J (2020) The effects of a master’s degree on wage and job satisfaction in massified higher education: the case of South Korea. High Educ Policy 33:637–665. https://doi.org/10.1057/s41307-020-00200-2
Lindbeck A, Snower DJ (2001) Insiders versus outsiders. J Econ Perspect 15(1):165–188. http://www.jstor.org/stable/2696546
Machin S, Van Reenan J (1998) Technology and changes in skill structure: evidence from seven OECD countries. Q J Econom 113(4):1215–1244
McKinney J, Chang ML, Glassmeyer D (2021) Why females choose STEM majors: understanding the relationships between major, personality, interests, self-efficacy, and anxiety. J STEM Educ Res 4:278–300. https://doi.org/10.1007/s41979-021-00050-6
Menon ME, Markadjis E, Theodoropoulos N, Socratous M (2017) Influences on the intention to enter higher education: the importance of expected returns. J Furth High Educ 41(6):831–843. https://doi.org/10.1080/0309877X.2016.1188897
Mullen AL, Goyette KA, Soares JA (2003) Who goes to graduate school? Social and academic correlates of educational continuation after college. Sociol Educ 76(2):143–169. https://doi.org/10.2307/3090274
O’Donnell VL, Tobbell J, Lawthom R, Zammit M (2009) Transition to postgraduate study: practice, participation and the widening participation agenda. Act Learn High Educ 10(1):26–40. https://doi.org/10.1177/1469787408100193
Pascarella ET, Terenzini PT (1980) Predicting freshman persistence and voluntary dropout decisions from a theoretical model. J High Educ 51(1):60–75. https://doi.org/10.2307/1981125
Paulsen MB, Toutkoushian RK (2008) Economic models and policy analysis in higher education: a diagrammatic exposition. In: Smart JC (ed.) Higher education: handbook of theory and research, vol. XXIII. Springer, Dordrecht, pp. 1–48
Perna LW (2004) Understanding the decision to enroll in graduate school: sex and racial/ethnic group differences. J High Educ 75(5):487–527. https://doi.org/10.1080/00221546.2004.11772335
Perna LW (2006) Studying college access and choice: a proposed conceptual model. In: Smart JC (ed.) Higher education: handbook of theory and research, vol XX. Springer, The Netherlands, pp. I99–I157
Schapiro MO, O’Malley MP, Litten LH (1991) Progression to graduate school from the “Elite” colleges and universities. Econ Educ Rev 10(3):227–244. https://doi.org/10.1016/0272-7757(91)90046-R
Thomas SL, Perna LW (2004) The opportunity agenda: a reexamination of postsecondary reward opportunity. In: Smart JC, Paulsen MB (eds.) Higher education: handbook of theory and research, vol XIX. Springer, Dordrecht, Netherlands, pp. 43–84
Tinto V (1975) Dropout from higher education: a theoretical synthesis of recent research. Rev Educ Res 45(1):89–125. https://doi.org/10.3102/00346543045001089
Toner P (2011) Workforce skills and innovation: an overview of major themes in the literature. OECD education working papers, no. 55. OECD Publishing, Paris
Toner P, Marceau J, Hall R, Considine G (2004) Innovation agents: vocational education and training skills and innovation in australian industries and firms. Volume I. National Centre for Vocational Education Research Ltd., Australia
Weiler WC (1994) Expectations, undergraduate debt and the decision to attend graduate school: a simultaneous model of student choice. Econ Educ Rev 13(1):29–41. https://doi.org/10.1016/0272-7757(94)90021-3
Article ADS Google Scholar
Xu YJ (2014) Advance to and persistence in graduate school: identifying the influential factors and major-based differences. J Coll Stud Retent: Res Theory Pract 16(3):391–417. https://doi.org/10.2190/CS.16.3.e
Zhang L (2005) Advance to graduate education: the effect of college quality and undergraduate majors. Rev High Educ 28(3):313–338. https://doi.org/10.1353/rhe.2005.0030
Article CAS Google Scholar
Download references
This research was funded by the Ministry of Research, Innovation, and Digitalisation of Romania under NUCLEU Programme PN 22100102. The funding body was not involved in the design of the study, data collection, analysis, interpretation, or writing of the manuscript.
Authors and affiliations.
National Scientific Research Institute for Labour and Social Protection (Department of Education, Training and Labour Market), Bucharest, Romania
Ana-Maria Zamfir, Adriana AnaMaria Davidescu & Cristina Mocanu
Department of Statistics and Econometrics, Bucharest University of Economic Studies, Bucharest, Romania
Adriana AnaMaria Davidescu
You can also search for this author in PubMed Google Scholar
All authors contributed to the study's conception and design. Statistical analysis was performed by AAMD and all the authors participated to the preparation of the first and improved versions of the manuscript. All authors approved the final manuscript.
Correspondence to Ana-Maria Zamfir .
Competing interests.
The authors declare no competing interests.
This study was performed in line with the principles of the Declaration of Helsinki. Approval was granted by the Internal Approval Commission of the Scientific Board of the National Scientific Research Institute for Labour and Social Protection (No. 1337/09.12.2019).
All students answering the questionnaire were of adult age (18 years old in Romania). Informed consent was requested and obtained from each participant before their involvement in the study. The process included providing participants with a detailed consent form, which they read and signed prior to participation.
Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Rights and permissions.
Open Access This article is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License, which permits any non-commercial use, sharing, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if you modified the licensed material. You do not have permission under this licence to share adapted material derived from this article or parts of it. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by-nc-nd/4.0/ .
Reprints and permissions
Cite this article.
Zamfir, AM., Davidescu, A.A. & Mocanu, C. Understanding the influence of business innovation context on intentions of enrolment in master education of STEM students: a multi-level choice model. Humanit Soc Sci Commun 11 , 1087 (2024). https://doi.org/10.1057/s41599-024-03601-5
Download citation
Received : 08 September 2023
Accepted : 14 August 2024
Published : 26 August 2024
DOI : https://doi.org/10.1057/s41599-024-03601-5
Anyone you share the following link with will be able to read this content:
Sorry, a shareable link is not currently available for this article.
Provided by the Springer Nature SharedIt content-sharing initiative
The business world is constantly changing. From my own experience, I've learned that to succeed today, you need to be adaptable and committed to continuous learning. As an HR professional, I've seen firsthand how vital our role is in this dynamic environment. HR isn't just about recruiting or managing employee relations; it's about shaping an organization's culture, supporting employee growth, and driving the strategies that lead to success.
Throughout my career, I've encountered various challenges and opportunities that have reinforced the importance of ongoing professional development. Staying current, keeping up with industry trends, and continuously enhancing our skills aren't just things we do to check a box—they are essential for moving forward in our careers and making a meaningful impact on our organizations.
Over the years, I've seen the role of HR evolve significantly. What started as a focus on payroll and employee relations has expanded into a strategic role that requires managing a diverse workforce, fostering a culture that can adapt to change, and providing valuable insights that help steer the organization in the right direction. I've had to familiarize myself with new concepts and practices, like integrating technology into HR functions, prioritizing employee wellness, and promoting inclusivity in the workplace.
The shift to remote work, for example, was a huge adjustment. Managing teams that aren't physically present required me to think creatively about maintaining engagement, accurately assessing performance, and keeping the company culture alive. I remember how focusing on employee wellness became more critical than ever before and how diversity and inclusion initiatives became significant as we realized that a diverse team could bring richer perspectives and solutions.
I recall working with a global technology firm that quickly had to adapt to remote work. We implemented digital collaboration tools, launched virtual wellness programs, and conducted inclusion training for all employees. The results were precise—higher employee engagement and better teamwork. This experience showed me just how crucial it is to have an HR strategy that can adapt to the changing landscape.
In my experience, professional development is not just an option—it's necessary for anyone in HR. Staying informed about legal and ethical standards is critical to protecting our organizations from risks. Understanding labor laws, workplace ethics, and data protection regulations has been a crucial part of my job, and it needs constant attention as these areas evolve.
The talent market is incredibly competitive, and refining recruitment and retention strategies are crucial. I've had to learn how to identify top talent better and develop ways to keep them engaged, which has been essential in reducing turnover and building solid teams. Strong communication and interpersonal skills have also been invaluable, especially when navigating conflicts, negotiating, and supporting employees.
I've also seen how continuous learning directly impacts career progression. Colleagues who invest in their professional growth tend to move up faster and take on more strategic roles. This not only improves their career prospects but also enhances the overall performance of their HR departments, contributing to the success of their organizations.
There are many ways to approach professional development in HR. Over the years, I've found that attending specialized training and workshops tailored to specific HR skills has provided me with practical knowledge to apply directly to my work. Attending HR conferences and networking events has also been valuable, as it's allowed me to learn about the latest practices and connect with other professionals in the field.
Pursuing advanced degrees or certifications, like SHRM-CP or PHR, has significantly invested in my career. These credentials have boosted my credibility and opened up new opportunities for advancement. They reflect a deep commitment to the HR profession and signal to employers that you're serious about staying at the forefront of the industry.
In addition to formal education, I've found self-directed learning incredibly effective. Online courses, webinars, podcasts, and industry-specific books contributed to my professional development. These resources allow me to tailor my education to my specific needs and schedule, which has been particularly helpful when balancing work and personal life.
Of course, there are challenges when it comes to professional development. I've experienced difficulty finding time to learn new skills or the financial burden of paying for courses. However, I've learned to seek out microlearning opportunities—short, focused sessions that fit a busy schedule. I've also taken advantage of employer-sponsored training programs and free online resources whenever possible.
Convincing organizations to support professional development can sometimes take time and effort. In those cases, I've found that presenting clear evidence—such as case studies or data showing the return on investment—can help make the case. Demonstrating how professional development programs can improve performance and drive business outcomes often helps get the necessary support.
The HR field constantly changes, and staying committed to professional growth is essential. From my journey, dedicating yourself to continuous learning is the surest way to advance your career and make a lasting impact in your organization. By embracing the opportunities for professional development and overcoming the obstacles that come with it, HR professionals can strengthen their role as critical strategic partners within their organizations. So, take the leap—invest in your growth and enjoy the journey of learning and discovery at the heart of the HR profession.
15 Key Considerations for Success Before Launching Your Business - LIFE THEORY 46 Skyboy46. https://www.skyboy46.com/post/15-key-considerations-for-success-before-launching-your-business-life-theory-46
Essential skills for career advancement in hr.
Advancing in human resources (HR) requires specific skills. Professionals must develop these to succeed. They comprise a blend of soft and hard competencies. Understanding these skills can aid career progression.
Effective communication lies at HR's core. Professionals articulate policies clearly. They navigate sensitive conversations with tact. If you wish to excel, refine your communication skills.
Building trust is crucial in HR roles. Employee relations expertise helps. It ensures fair treatment. It promotes a healthy work environment. This skill involves conflict resolution and negotiation prowess.
HR professionals must grasp legal guidelines. It includes knowledge of labor laws and workplace regulations. Mastery in these areas is non-negotiable. It helps to avoid costly legal issues.
HR operates at a strategic level. Successful professionals contribute to business planning. They align HR strategies with organizational goals. Think strategically to add value.
Technology underpins modern HR functions. Familiarity with HR Information Systems (HRIS) is beneficial. It streamlines processes like payroll and benefits administration. Be tech-savvy to advance.
Acquiring and retaining top talent is key. Knowing how to identify, attract, and keep talent matters. This skill set drives organizational success.
Managing teams requires leadership qualities. HR professionals often lead initiatives. They influence culture change. Effective leaders inspire others. Assure your leadership skills are up to par.
A global workforce needs cultural awareness. HR must navigate cultural complexities. Competency in this area fosters inclusivity. It also drives engagement.
Data informs HR decisions. Understanding metrics and analytics is important. It enables evidence-based decision making. If you can analyze data, you will thrive.
Organizations constantly evolve. HR leads change management efforts. You must guide through transitions smoothly. Addressing employee concerns is a part of this.
The HR landscape changes fast. Professionals stay updated with continued learning. This commitment demonstrates learning agility. Always be willing to learn.
Developing these competencies can be a career game-changer. They make HR professionals invaluable. Aim to cultivate these skills for success in HR.
Strategic alignment of hr practices.
Human resources (HR) strategies ensure corporate objectives are met. Strategies aligned with organizational goals enhance success. They provide a roadmap for HR activities. HR becomes a strategic partner, not just an administrative function.
HR strategies drive business outcomes. Clear goals aid HR in contributing effectively. Practices tailored to organization needs foster this alignment. Let's discuss how strategic HR enhances success.
- Recruitment and Selection
Aligned HR hires individuals who fit the organization's culture. These individuals help achieve strategic objectives. By focusing on strategic needs, HR ensures the workforce complements business goals.
- Training and Development
HR must develop staff to meet current and future needs. Effective training programs boost efficiency and innovation. Employees gain relevant skills to help achieve business strategies.
- Performance Management
Systematic performance management aligns employee actions with goals. Feedback and appraisals direct efforts toward corporate objectives. Employees understand their role in achieving success.
- Compensation and Benefits
Reward strategies entice desirable behaviors. Pay structures aligned with business goals motivate staff. An incentivized workforce strives for organizational targets.
- Labor Relations
Positive labor relations are crucial for success. HR policies fostering good relations reduce conflicts. A peaceful work environment supports stable operations.
- Compliance and Risk Management
Adherence to laws and regulations is fundamental. HR minimizes legal risks by ensuring compliance. This protects the organization from potential lawsuits and fines.
Employee empowerment incites engagement. Engaged employees display high productivity. They possess a strong connection to their work and their company. Innovation flourishes in such an environment.
Innovation is key for competitive advantage. HR can cultivate a culture of innovation. Training programs encouraging creativity play a role here. HR practices that respect and reward innovative contributions make a difference.
Engagement and innovation lead to higher performance. Thus, strategic HR alignment aids in retaining a competitive edge.
Organizations must adapt to survive. HR practices responsive to change secure this adaptability. Training for new skills prepares for market shifts. Succession planning ensures leadership continuity.
Sustainability of the workforce is a modern HR focus. Strategies for employee well-being and career development are vital. A sustainable workforce is productive over time.
Quantifiable metrics indicate HR's alignment with strategy. These metrics measure HR's contribution to success. Examples include turnover rates, employee satisfaction, and training ROI.
Analyzing metrics allows for strategy refinement. HR thus continuously contributes to organizational success.
Strategic alignment of HR practices is vital for success. Recruitment, training, and engagement are key components. A comprehensive approach ensures a competitive and sustainable workforce. This strategic partnership between HR and the organization fosters success.
Understanding the broader business landscape is imperative for HR professionals. It helps them align their strategies with organizational goals and respond effectively to changes in the market. When HR professionals grasp the whole business picture, they contribute significantly to organizational growth and development.
HR professionals shape the workforce to meet business objectives. They identify skills necessary for future success. These professionals ensure that the right people fill the right roles at the right time. Understanding the market equips HR with knowledge to forecast staffing needs. They thus become strategic partners in the business.
A savvy HR professional knows market trends affect talent acquisition. They use industry insights to attract and retain top talent. Competitive compensation and benefits stem from this knowledge. A solid grasp of the broader economic environment informs these decisions. Employees feel valued. They tend to stay longer.
Training and development align with industry demands. HR professionals foresee the skills employees will need. They craft training programs accordingly. Workers stay competent and effective. Career progression structures stem from such understanding. They help in retaining high-performing staff.
Organizations constantly face change. HR plays a key role in managing this change. Knowledge of economic and market dynamics informs change management strategies. HR ensures staff understand and accept changes. They alleviate fears and resistance. This eases transitions and maintains productivity.
HR shapes and maintains organizational culture. Knowledge of business landscapes guides these practices. HR fosters a culture responsive to market changes. They build cultures of innovation and adaptability. Employees feel prepared for shifts in the business environment.
Strategic planning.
HR contributes to strategic planning . They provide insights on workforce capabilities. This helps in crafting achievable business strategies.
Risk management is crucial for business continuity. HR identifies risks from shifts in the workforce. They plan for labour shortages or regulatory changes. This preparation reduces potential negative impacts on the organization.
HR can establish a competitive advantage. They benchmark company practices against industry standards. This ensures the organization leads in best practices. Employees feel proud. They provide better service. The company stands out in the market.
A well-informed HR department encourages innovation. They push for policies that support creativity. This stems from their understanding of market needs. Employees innovate. The organization stays ahead of competitors.
HR professionals impact organizational growth when they understand the business environment. They become strategic partners. They attract the best talent. They plan for future needs. HR shapes the workforce for optimal performance. This leads to organizational success. An informed HR department is a powerful tool in business development.
Pia Prebensen is a personal growth expert who helps people identify and overcome their limiting beliefs. She has been featured in various online and print publications, including Elite Daily and The Huffington Post.
Born and raised in Denmark, Pia has always been fascinated by human behavior and the inner workings of the mind.
IMAGES
VIDEO
COMMENTS
This paper aims to contribute to the field offering a scoping review on strategy and strategic leadership in the educational field. A clear idea of what strategy and strategic leadership mean and what theory or theories support it are of great importance for research and practice.
Developing your strategic thinking skills isn't enough to get you promoted. In order to advance in your career, you need to demonstrate them. Leaders want to know what you think, and they view ...
The spirit of innovation education is an openness to looking with fresh eyes at problems and to address them in different, new ways. It is a recognition that we don't have all the answers and are open to new approaches to improve such as methods of knowledge transfer with innovative teaching strategies.
Leading School Strategy & Innovation School leaders are responsible for setting the vision and goals and aligning strategy and resources to drive improvement in their schools, while navigating an increasingly challenging school environment.
the role of innovation in education. This new edition of Measuring Innovation in Education examines what has (or has not) changed for students over the past decade in OECD education systems. It reviews no fewer than 150 educational practices. The report casts light on systemic innovation in primary and secondary education, with a focus on ...
Strategically thinking and planning Leaders ensure that the organisational vision, goals and expectations of staff, learners and whānau are shaped in ways that engage the organisational community (staff, learners, whānau, community stakeholders) in a meaningful way.
Innovation in education is changing the way students learn, encouraging problem-solving and creativity. It is not limited to technology or invention, but rather a shift in thinking, benefiting both students and educators. It entails introducing new products, procedures, and strategies that result in positive progress for a school, classroom ...
The course provides educators overview of strategic thinking innovation. It highlights the need for competency, reframes the learner's understanding of its related within the context of education, brings the learner to reflect competencies of strategic and innovation.
Cultivating strategic innovation in higher education. niversity of Southern CaliforniaAbout this ResearchCollege and university leaders realize they need to be more strategic in cultivating a climate. or creativity and innovation in their organizations. Yet the concept of innovation remains nebulous, the theory of disruptive innovation is ...
Purpose The purpose of this paper is to present an analytical review of the educational innovation field in the USA. It outlines classification of innovations, discusses the hurdles to innovation, and offers ways to increase the scale and rate of innovation-based transformations in the education system.
A strategic plan in the education sector is the physical product of the strategic planning process and embodies the guiding orientations on how to run an education system within a larger national development perspective, which is evolving by nature and often involves constraints.4 II. The Strategic Management Cycle II.1.
Essentials of Strategic Thinking and Innovation is the first of the three courses on strategic thinking and innovation. It reframes the learner's understanding of its related concepts within the context of education.
In the report, the task force also proposes three new strategic directions for Harvard's Schools and for the University more broadly: reimagining student learning through blended experiences that combine the best of in-person with the best of digital; creating a new, coherent Harvard strategy for short-form digital content and learning ...
Strategic thinking and innovation is a mash-up of two different concepts: Strategic Thinking - The thought process that can incorporate long-term trends and developments with the resources and courses of action available to create objectives and achievable plans to meet those objectives.
A strategic plan helps with decision-making, responsiveness, and innovation. 5. A strategic plan increases communication and engagement. 6. A strategic plan keeps everyone in a school—from teachers to administrators—connected. 7. The best reason of all for strategic planning comes back to every great school's number one priority: students.
Strategic planning is a method used in various industries to deliberately guide decision-making. In education, strategic planning provides leaders with guidance to keep the institution operating, carry out its missions and comply with regulations. Educational strategic planning focuses on the future of a college or university, providing an intentional way to reflect on performance and ...
Strategic thinking is the mental process you go through when pondering an open-ended question. It's best done in a low-stress environment where you can freely think and not be easily distracted.
This article delves into the intricacies of strategic thinking, outlining its definition, key characteristics, and its vital role in both leadership and business. We will explore the steps to develop strategic thinking skills and provide real-life examples to illustrate its application.
3 keys to strategic planning success As mentioned, engagement and collaboration are central to strategic planning in education—And involving the community is easier now than ever before. Technology reduces the time it takes to engage a disparate group of people and improves the quality of their discussions. Our extensive work within the education sector has revealed three best practices that ...
What Is Strategic Thinking? Strategic thinking is analyzing, planning, and making decisions to achieve long-term goals. It involves thinking ahead and anticipating the possible outcomes of different actions. In education, strategic thinking is essential. Educators must identify students' needs, plan appropriate learning activities, and create effective assessments to measure student progress ...
In the rapidly evolving landscape of education, integrating smart classroom technology (SCT) is a transformative force, reshaping traditional paradigms and redefining the dynamics of teaching and learning. The study aims to investigate the transformative impact of SCT on educational practices, focusing on its effectiveness in enhancing student engagement, learning outcomes, and overall ...
Modern educational leadership is complex and demanding. Challenges include reestablishing novel national visions, crafting new educational aims for schools, restructuring education systems at different levels, privatization, and diversifying school education, all at the macro-level, and being proactive in facing up to these contextual challenges using various strategies. Strategic leadership ...
This paper presents an integration of leadership roles for innovation by focus on strategic thinking and planning in an effort to make important connections and important distinctions.
A strategic plan is an official document that provides a shared vision and priorities that. direct educational development in one school or in the whole education system of a country. The ...
Fostering Innovation and Problem-Solving. In today's rapidly changing world, the ability to think critically is crucial for generating innovative solutions to complex problems. Critical thinking enables individuals to question assumptions, consider alternative perspectives, and think outside the box.
Education remains the foundation for any country's societal, economic, and cultural advancement. ... Given the crucial role critical thinking bears in education, it is time for the Higher Educational Institutions (HEIs) to prioritize its cultivation in the teaching-learning processes by promoting a culture of questioning, epistemic curiosity ...
Paula Olszewski-Kubilius and Susan Corwith: Spatial thinking frequently shows up in daily life, is an asset to problem solving, and is important to many fields—including surgery, dentistry ...
This article studies educational decisions, focusing on intentions of enrolment in master's education of STEM bachelor students. Integrating human capital theory with concepts of cultural and ...
Over the years, I've seen the role of HR evolve significantly. What started as a focus on payroll and employee relations has expanded into a strategic role that requires managing a diverse workforce, fostering a culture that can adapt to change, and providing valuable insights that help steer the organization in the right direction.