science presentation grading rubric

Eberly Center

Teaching excellence & educational innovation, creating and using rubrics.

A rubric is a scoring tool that explicitly describes the instructor’s performance expectations for an assignment or piece of work. A rubric identifies:

• criteria: the aspects of performance (e.g., argument, evidence, clarity) that will be assessed
• descriptors: the characteristics associated with each dimension (e.g., argument is demonstrable and original, evidence is diverse and compelling)
• performance levels: a rating scale that identifies students’ level of mastery within each criterion  

Rubrics can be used to provide feedback to students on diverse types of assignments, from papers, projects, and oral presentations to artistic performances and group projects.

Benefitting from Rubrics

• reduce the time spent grading by allowing instructors to refer to a substantive description without writing long comments
• help instructors more clearly identify strengths and weaknesses across an entire class and adjust their instruction appropriately
• help to ensure consistency across time and across graders
• reduce the uncertainty which can accompany grading
• discourage complaints about grades
• understand instructors’ expectations and standards
• use instructor feedback to improve their performance
• monitor and assess their progress as they work towards clearly indicated goals
• recognize their strengths and weaknesses and direct their efforts accordingly

Examples of Rubrics

Here we are providing a sample set of rubrics designed by faculty at Carnegie Mellon and other institutions. Although your particular field of study or type of assessment may not be represented, viewing a rubric that is designed for a similar assessment may give you ideas for the kinds of criteria, descriptions, and performance levels you use on your own rubric.

• Example 1: Philosophy Paper This rubric was designed for student papers in a range of courses in philosophy (Carnegie Mellon).
• Example 2: Psychology Assignment Short, concept application homework assignment in cognitive psychology (Carnegie Mellon).
• Example 3: Anthropology Writing Assignments This rubric was designed for a series of short writing assignments in anthropology (Carnegie Mellon).
• Example 4: History Research Paper . This rubric was designed for essays and research papers in history (Carnegie Mellon).
• Example 1: Capstone Project in Design This rubric describes the components and standards of performance from the research phase to the final presentation for a senior capstone project in design (Carnegie Mellon).
• Example 2: Engineering Design Project This rubric describes performance standards for three aspects of a team project: research and design, communication, and team work.

Oral Presentations

• Example 1: Oral Exam This rubric describes a set of components and standards for assessing performance on an oral exam in an upper-division course in history (Carnegie Mellon).
• Example 2: Oral Communication This rubric is adapted from Huba and Freed, 2000.
• Example 3: Group Presentations This rubric describes a set of components and standards for assessing group presentations in history (Carnegie Mellon).

Class Participation/Contributions

• Example 1: Discussion Class This rubric assesses the quality of student contributions to class discussions. This is appropriate for an undergraduate-level course (Carnegie Mellon).
• Example 2: Advanced Seminar This rubric is designed for assessing discussion performance in an advanced undergraduate or graduate seminar.

See also " Examples and Tools " section of this site for more rubrics.

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• Am J Pharm Educ
• v.74(9); 2010 Nov 10

A Standardized Rubric to Evaluate Student Presentations

Michael j. peeters.

a University of Toledo College of Pharmacy

Eric G. Sahloff

Gregory e. stone.

b University of Toledo College of Education

To design, implement, and assess a rubric to evaluate student presentations in a capstone doctor of pharmacy (PharmD) course.

A 20-item rubric was designed and used to evaluate student presentations in a capstone fourth-year course in 2007-2008, and then revised and expanded to 25 items and used to evaluate student presentations for the same course in 2008-2009. Two faculty members evaluated each presentation.

The Many-Facets Rasch Model (MFRM) was used to determine the rubric's reliability, quantify the contribution of evaluator harshness/leniency in scoring, and assess grading validity by comparing the current grading method with a criterion-referenced grading scheme. In 2007-2008, rubric reliability was 0.98, with a separation of 7.1 and 4 rating scale categories. In 2008-2009, MFRM analysis suggested 2 of 98 grades be adjusted to eliminate evaluator leniency, while a further criterion-referenced MFRM analysis suggested 10 of 98 grades should be adjusted.

The evaluation rubric was reliable and evaluator leniency appeared minimal. However, a criterion-referenced re-analysis suggested a need for further revisions to the rubric and evaluation process.

INTRODUCTION

Evaluations are important in the process of teaching and learning. In health professions education, performance-based evaluations are identified as having “an emphasis on testing complex, ‘higher-order’ knowledge and skills in the real-world context in which they are actually used.” 1 Objective structured clinical examinations (OSCEs) are a common, notable example. 2 On Miller's pyramid, a framework used in medical education for measuring learner outcomes, “knows” is placed at the base of the pyramid, followed by “knows how,” then “shows how,” and finally, “does” is placed at the top. 3 Based on Miller's pyramid, evaluation formats that use multiple-choice testing focus on “knows” while an OSCE focuses on “shows how.” Just as performance evaluations remain highly valued in medical education, 4 authentic task evaluations in pharmacy education may be better indicators of future pharmacist performance. 5 Much attention in medical education has been focused on reducing the unreliability of high-stakes evaluations. 6 Regardless of educational discipline, high-stakes performance-based evaluations should meet educational standards for reliability and validity. 7

PharmD students at University of Toledo College of Pharmacy (UTCP) were required to complete a course on presentations during their final year of pharmacy school and then give a presentation that served as both a capstone experience and a performance-based evaluation for the course. Pharmacists attending the presentations were given Accreditation Council for Pharmacy Education (ACPE)-approved continuing education credits. An evaluation rubric for grading the presentations was designed to allow multiple faculty evaluators to objectively score student performances in the domains of presentation delivery and content. Given the pass/fail grading procedure used in advanced pharmacy practice experiences, passing this presentation-based course and subsequently graduating from pharmacy school were contingent upon this high-stakes evaluation. As a result, the reliability and validity of the rubric used and the evaluation process needed to be closely scrutinized.

Each year, about 100 students completed presentations and at least 40 faculty members served as evaluators. With the use of multiple evaluators, a question of evaluator leniency often arose (ie, whether evaluators used the same criteria for evaluating performances or whether some evaluators graded easier or more harshly than others). At UTCP, opinions among some faculty evaluators and many PharmD students implied that evaluator leniency in judging the students' presentations significantly affected specific students' grades and ultimately their graduation from pharmacy school. While it was plausible that evaluator leniency was occurring, the magnitude of the effect was unknown. Thus, this study was initiated partly to address this concern over grading consistency and scoring variability among evaluators.

Because both students' presentation style and content were deemed important, each item of the rubric was weighted the same across delivery and content. However, because there were more categories related to delivery than content, an additional faculty concern was that students feasibly could present poor content but have an effective presentation delivery and pass the course.

The objectives for this investigation were: (1) to describe and optimize the reliability of the evaluation rubric used in this high-stakes evaluation; (2) to identify the contribution and significance of evaluator leniency to evaluation reliability; and (3) to assess the validity of this evaluation rubric within a criterion-referenced grading paradigm focused on both presentation delivery and content.

The University of Toledo's Institutional Review Board approved this investigation. This study investigated performance evaluation data for an oral presentation course for final-year PharmD students from 2 consecutive academic years (2007-2008 and 2008-2009). The course was taken during the fourth year (P4) of the PharmD program and was a high-stakes, performance-based evaluation. The goal of the course was to serve as a capstone experience, enabling students to demonstrate advanced drug literature evaluation and verbal presentations skills through the development and delivery of a 1-hour presentation. These presentations were to be on a current pharmacy practice topic and of sufficient quality for ACPE-approved continuing education. This experience allowed students to demonstrate their competencies in literature searching, literature evaluation, and application of evidence-based medicine, as well as their oral presentation skills. Students worked closely with a faculty advisor to develop their presentation. Each class (2007-2008 and 2008-2009) was randomly divided, with half of the students taking the course and completing their presentation and evaluation in the fall semester and the other half in the spring semester. To accommodate such a large number of students presenting for 1 hour each, it was necessary to use multiple rooms with presentations taking place concurrently over 2.5 days for both the fall and spring sessions of the course. Two faculty members independently evaluated each student presentation using the provided evaluation rubric. The 2007-2008 presentations involved 104 PharmD students and 40 faculty evaluators, while the 2008-2009 presentations involved 98 students and 46 faculty evaluators.

After vetting through the pharmacy practice faculty, the initial rubric used in 2007-2008 focused on describing explicit, specific evaluation criteria such as amounts of eye contact, voice pitch/volume, and descriptions of study methods. The evaluation rubric used in 2008-2009 was similar to the initial rubric, but with 5 items added (Figure ​ (Figure1). 1 ). The evaluators rated each item (eg, eye contact) based on their perception of the student's performance. The 25 rubric items had equal weight (ie, 4 points each), but each item received a rating from the evaluator of 1 to 4 points. Thus, only 4 rating categories were included as has been recommended in the literature. 8 However, some evaluators created an additional 3 rating categories by marking lines in between the 4 ratings to signify half points ie, 1.5, 2.5, and 3.5. For example, for the “notecards/notes” item in Figure ​ Figure1, 1 , a student looked at her notes sporadically during her presentation, but not distractingly nor enough to warrant a score of 3 in the faculty evaluator's opinion, so a 3.5 was given. Thus, a 7-category rating scale (1, 1.5, 2, 2.5. 3, 3.5, and 4) was analyzed. Each independent evaluator's ratings for the 25 items were summed to form a score (0-100%). The 2 evaluators' scores then were averaged and a letter grade was assigned based on the following scale: >90% = A, 80%-89% = B, 70%-79% = C, <70% = F.

Rubric used to evaluate student presentations given in a 2008-2009 capstone PharmD course.

EVALUATION AND ASSESSMENT

Rubric reliability.

To measure rubric reliability, iterative analyses were performed on the evaluations using the Many-Facets Rasch Model (MFRM) following the 2007-2008 data collection period. While Cronbach's alpha is the most commonly reported coefficient of reliability, its single number reporting without supplementary information can provide incomplete information about reliability. 9 - 11 Due to its formula, Cronbach's alpha can be increased by simply adding more repetitive rubric items or having more rating scale categories, even when no further useful information has been added. The MFRM reports separation , which is calculated differently than Cronbach's alpha, is another source of reliability information. Unlike Cronbach's alpha, separation does not appear enhanced by adding further redundant items. From a measurement perspective, a higher separation value is better than a lower one because students are being divided into meaningful groups after measurement error has been accounted for. Separation can be thought of as the number of units on a ruler where the more units the ruler has, the larger the range of performance levels that can be measured among students. For example, a separation of 4.0 suggests 4 graduations such that a grade of A is distinctly different from a grade of B, which in turn is different from a grade of C or of F. In measuring performances, a separation of 9.0 is better than 5.5, just as a separation of 7.0 is better than a 6.5; a higher separation coefficient suggests that student performance potentially could be divided into a larger number of meaningfully separate groups.

The rating scale can have substantial effects on reliability, 8 while description of how a rating scale functions is a unique aspect of the MFRM. With analysis iterations of the 2007-2008 data, the number of rating scale categories were collapsed consecutively until improvements in reliability and/or separation were no longer found. The last positive iteration that led to positive improvements in reliability or separation was deemed an optimal rating scale for this evaluation rubric.

In the 2007-2008 analysis, iterations of the data where run through the MFRM. While only 4 rating scale categories had been included on the rubric, because some faculty members inserted 3 in-between categories, 7 categories had to be included in the analysis. This initial analysis based on a 7-category rubric provided a reliability coefficient (similar to Cronbach's alpha) of 0.98, while the separation coefficient was 6.31. The separation coefficient denoted 6 distinctly separate groups of students based on the items. Rating scale categories were collapsed, with “in-between” categories included in adjacent full-point categories. Table ​ Table1 1 shows the reliability and separation for the iterations as the rating scale was collapsed. As shown, the optimal evaluation rubric maintained a reliability of 0.98, but separation improved the reliability to 7.10 or 7 distinctly separate groups of students based on the items. Another distinctly separate group was added through a reduction in the rating scale while no change was seen to Cronbach's alpha, even though the number of rating scale categories was reduced. Table ​ Table1 1 describes the stepwise, sequential pattern across the final 4 rating scale categories analyzed. Informed by the 2007-2008 results, the 2008-2009 evaluation rubric (Figure ​ (Figure1) 1 ) used 4 rating scale categories and reliability remained high.

Evaluation Rubric Reliability and Separation with Iterations While Collapsing Rating Scale Categories.

a Reliability coefficient of variance in rater response that is reproducible (ie, Cronbach's alpha).

b Separation is a coefficient of item standard deviation divided by average measurement error and is an additional reliability coefficient.

c Optimal number of rating scale categories based on the highest reliability (0.98) and separation (7.1) values.

Evaluator Leniency

Described by Fleming and colleagues over half a century ago, 6 harsh raters (ie, hawks) or lenient raters (ie, doves) have also been demonstrated in more recent studies as an issue as well. 12 - 14 Shortly after 2008-2009 data were collected, those evaluations by multiple faculty evaluators were collated and analyzed in the MFRM to identify possible inconsistent scoring. While traditional interrater reliability does not deal with this issue, the MFRM had been used previously to illustrate evaluator leniency on licensing examinations for medical students and medical residents in the United Kingdom. 13 Thus, accounting for evaluator leniency may prove important to grading consistency (and reliability) in a course using multiple evaluators. Along with identifying evaluator leniency, the MFRM also corrected for this variability. For comparison, course grades were calculated by summing the evaluators' actual ratings (as discussed in the Design section) and compared with the MFRM-adjusted grades to quantify the degree of evaluator leniency occurring in this evaluation.

Measures created from the data analysis in the MFRM were converted to percentages using a common linear test-equating procedure involving the mean and standard deviation of the dataset. 15 To these percentages, student letter grades were assigned using the same traditional method used in 2007-2008 (ie, 90% = A, 80% - 89% = B, 70% - 79% = C, <70% = F). Letter grades calculated using the revised rubric and the MFRM then were compared to letter grades calculated using the previous rubric and course grading method.

In the analysis of the 2008-2009 data, the interrater reliability for the letter grades when comparing the 2 independent faculty evaluations for each presentation was 0.98 by Cohen's kappa. However, using the 3-facet MRFM revealed significant variation in grading. The interaction of evaluator leniency on student ability and item difficulty was significant, with a chi-square of p < 0.01. As well, the MFRM showed a reliability of 0.77, with a separation of 1.85 (ie, almost 2 groups of evaluators). The MFRM student ability measures were scaled to letter grades and compared with course letter grades. As a result, 2 B's became A's and so evaluator leniency accounted for a 2% change in letter grades (ie, 2 of 98 grades).

Validity and Grading

Explicit criterion-referenced standards for grading are recommended for higher evaluation validity. 3 , 16 - 18 The course coordinator completed 3 additional evaluations of a hypothetical student presentation rating the minimal criteria expected to describe each of an A, B, or C letter grade performance. These evaluations were placed with the other 196 evaluations (2 evaluators × 98 students) from 2008-2009 into the MFRM, with the resulting analysis report giving specific cutoff percentage scores for each letter grade. Unlike the traditional scoring method of assigning all items an equal weight, the MFRM ordered evaluation items from those more difficult for students (given more weight) to those less difficult for students (given less weight). These criterion-referenced letter grades were compared with the grades generated using the traditional grading process.

When the MFRM data were rerun with the criterion-referenced evaluations added into the dataset, a 10% change was seen with letter grades (ie, 10 of 98 grades). When the 10 letter grades were lowered, 1 was below a C, the minimum standard, and suggested a failing performance. Qualitative feedback from faculty evaluators agreed with this suggested criterion-referenced performance failure.

Measurement Model

Within modern test theory, the Rasch Measurement Model maps examinee ability with evaluation item difficulty. Items are not arbitrarily given the same value (ie, 1 point) but vary based on how difficult or easy the items were for examinees. The Rasch measurement model has been used frequently in educational research, 19 by numerous high-stakes testing professional bodies such as the National Board of Medical Examiners, 20 and also by various state-level departments of education for standardized secondary education examinations. 21 The Rasch measurement model itself has rigorous construct validity and reliability. 22 A 3-facet MFRM model allows an evaluator variable to be added to the student ability and item difficulty variables that are routine in other Rasch measurement analyses. Just as multiple regression accounts for additional variables in analysis compared to a simple bivariate regression, the MFRM is a multiple variable variant of the Rasch measurement model and was applied in this study using the Facets software (Linacre, Chicago, IL). The MFRM is ideal for performance-based evaluations with the addition of independent evaluator/judges. 8 , 23 From both yearly cohorts in this investigation, evaluation rubric data were collated and placed into the MFRM for separate though subsequent analyses. Within the MFRM output report, a chi-square for a difference in evaluator leniency was reported with an alpha of 0.05.

The presentation rubric was reliable. Results from the 2007-2008 analysis illustrated that the number of rating scale categories impacted the reliability of this rubric and that use of only 4 rating scale categories appeared best for measurement. While a 10-point Likert-like scale may commonly be used in patient care settings, such as in quantifying pain, most people cannot process more then 7 points or categories reliably. 24 Presumably, when more than 7 categories are used, the categories beyond 7 either are not used or are collapsed by respondents into fewer than 7 categories. Five-point scales commonly are encountered, but use of an odd number of categories can be problematic to interpretation and is not recommended. 25 Responses using the middle category could denote a true perceived average or neutral response or responder indecisiveness or even confusion over the question. Therefore, removing the middle category appears advantageous and is supported by our results.

With 2008-2009 data, the MFRM identified evaluator leniency with some evaluators grading more harshly while others were lenient. Evaluator leniency was indeed found in the dataset but only a couple of changes were suggested based on the MFRM-corrected evaluator leniency and did not appear to play a substantial role in the evaluation of this course at this time.

Performance evaluation instruments are either holistic or analytic rubrics. 26 The evaluation instrument used in this investigation exemplified an analytic rubric, which elicits specific observations and often demonstrates high reliability. However, Norman and colleagues point out a conundrum where drastically increasing the number of evaluation rubric items (creating something similar to a checklist) could augment a reliability coefficient though it appears to dissociate from that evaluation rubric's validity. 27 Validity may be more than the sum of behaviors on evaluation rubric items. 28 Having numerous, highly specific evaluation items appears to undermine the rubric's function. With this investigation's evaluation rubric and its numerous items for both presentation style and presentation content, equal numeric weighting of items can in fact allow student presentations to receive a passing score while falling short of the course objectives, as was shown in the present investigation. As opposed to analytic rubrics, holistic rubrics often demonstrate lower yet acceptable reliability, while offering a higher degree of explicit connection to course objectives. A summative, holistic evaluation of presentations may improve validity by allowing expert evaluators to provide their “gut feeling” as experts on whether a performance is “outstanding,” “sufficient,” “borderline,” or “subpar” for dimensions of presentation delivery and content. A holistic rubric that integrates with criteria of the analytic rubric (Figure ​ (Figure1) 1 ) for evaluators to reflect on but maintains a summary, overall evaluation for each dimension (delivery/content) of the performance, may allow for benefits of each type of rubric to be used advantageously. This finding has been demonstrated with OSCEs in medical education where checklists for completed items (ie, yes/no) at an OSCE station have been successfully replaced with a few reliable global impression rating scales. 29 - 31

Alternatively, and because the MFRM model was used in the current study, an items-weighting approach could be used with the analytic rubric. That is, item weighting based on the difficulty of each rubric item could suggest how many points should be given for that rubric items, eg, some items would be worth 0.25 points, while others would be worth 0.5 points or 1 point (Table ​ (Table2). 2 ). As could be expected, the more complex the rubric scoring becomes, the less feasible the rubric is to use. This was the main reason why this revision approach was not chosen by the course coordinator following this study. As well, it does not address the conundrum that the performance may be more than the summation of behavior items in the Figure ​ Figure1 1 rubric. This current study cannot suggest which approach would be better as each would have its merits and pitfalls.

Rubric Item Weightings Suggested in the 2008-2009 Data Many-Facet Rasch Measurement Analysis

Regardless of which approach is used, alignment of the evaluation rubric with the course objectives is imperative. Objectivity has been described as a general striving for value-free measurement (ie, free of the evaluator's interests, opinions, preferences, sentiments). 27 This is a laudable goal pursued through educational research. Strategies to reduce measurement error, termed objectification , may not necessarily lead to increased objectivity. 27 The current investigation suggested that a rubric could become too explicit if all the possible areas of an oral presentation that could be assessed (ie, objectification) were included. This appeared to dilute the effect of important items and lose validity. A holistic rubric that is more straightforward and easier to score quickly may be less likely to lose validity (ie, “lose the forest for the trees”), though operationalizing a revised rubric would need to be investigated further. Similarly, weighting items in an analytic rubric based on their importance and difficulty for students may alleviate this issue; however, adding up individual items might prove arduous. While the rubric in Figure ​ Figure1, 1 , which has evolved over the years, is the subject of ongoing revisions, it appears a reliable rubric on which to build.

The major limitation of this study involves the observational method that was employed. Although the 2 cohorts were from a single institution, investigators did use a completely separate class of PharmD students to verify initial instrument revisions. Optimizing the rubric's rating scale involved collapsing data from misuse of a 4-category rating scale (expanded by evaluators to 7 categories) by a few of the evaluators into 4 independent categories without middle ratings. As a result of the study findings, no actual grading adjustments were made for students in the 2008-2009 presentation course; however, adjustment using the MFRM have been suggested by Roberts and colleagues. 13 Since 2008-2009, the course coordinator has made further small revisions to the rubric based on feedback from evaluators, but these have not yet been re-analyzed with the MFRM.

The evaluation rubric used in this study for student performance evaluations showed high reliability and the data analysis agreed with using 4 rating scale categories to optimize the rubric's reliability. While lenient and harsh faculty evaluators were found, variability in evaluator scoring affected grading in this course only minimally. Aside from reliability, issues of validity were raised using criterion-referenced grading. Future revisions to this evaluation rubric should reflect these criterion-referenced concerns. The rubric analyzed herein appears a suitable starting point for reliable evaluation of PharmD oral presentations, though it has limitations that could be addressed with further attention and revisions.

ACKNOWLEDGEMENT

Author contributions— MJP and EGS conceptualized the study, while MJP and GES designed it. MJP, EGS, and GES gave educational content foci for the rubric. As the study statistician, MJP analyzed and interpreted the study data. MJP reviewed the literature and drafted a manuscript. EGS and GES critically reviewed this manuscript and approved the final version for submission. MJP accepts overall responsibility for the accuracy of the data, its analysis, and this report.

Rubric Best Practices, Examples, and Templates

A rubric is a scoring tool that identifies the different criteria relevant to an assignment, assessment, or learning outcome and states the possible levels of achievement in a specific, clear, and objective way. Use rubrics to assess project-based student work including essays, group projects, creative endeavors, and oral presentations.

Rubrics can help instructors communicate expectations to students and assess student work fairly, consistently and efficiently. Rubrics can provide students with informative feedback on their strengths and weaknesses so that they can reflect on their performance and work on areas that need improvement.

How to Get Started

Best practices, moodle how-to guides.

• Workshop Recording (Fall 2022)
• Workshop Registration

Step 1: Analyze the assignment

The first step in the rubric creation process is to analyze the assignment or assessment for which you are creating a rubric. To do this, consider the following questions:

• What is the purpose of the assignment and your feedback? What do you want students to demonstrate through the completion of this assignment (i.e. what are the learning objectives measured by it)? Is it a summative assessment, or will students use the feedback to create an improved product?
• Does the assignment break down into different or smaller tasks? Are these tasks equally important as the main assignment?
• What would an “excellent” assignment look like? An “acceptable” assignment? One that still needs major work?
• How detailed do you want the feedback you give students to be? Do you want/need to give them a grade?

Step 2: Decide what kind of rubric you will use

Types of rubrics: holistic, analytic/descriptive, single-point

Holistic Rubric. A holistic rubric includes all the criteria (such as clarity, organization, mechanics, etc.) to be considered together and included in a single evaluation. With a holistic rubric, the rater or grader assigns a single score based on an overall judgment of the student’s work, using descriptions of each performance level to assign the score.

Advantages of holistic rubrics:

• Can p lace an emphasis on what learners can demonstrate rather than what they cannot
• Save grader time by minimizing the number of evaluations to be made for each student
• Can be used consistently across raters, provided they have all been trained

Disadvantages of holistic rubrics:

• Provide less specific feedback than analytic/descriptive rubrics
• Can be difficult to choose a score when a student’s work is at varying levels across the criteria
• Any weighting of c riteria cannot be indicated in the rubric

Analytic/Descriptive Rubric . An analytic or descriptive rubric often takes the form of a table with the criteria listed in the left column and with levels of performance listed across the top row. Each cell contains a description of what the specified criterion looks like at a given level of performance. Each of the criteria is scored individually.

Advantages of analytic rubrics:

• Provide detailed feedback on areas of strength or weakness
• Each criterion can be weighted to reflect its relative importance

Disadvantages of analytic rubrics:

• More time-consuming to create and use than a holistic rubric
• May not be used consistently across raters unless the cells are well defined
• May result in giving less personalized feedback

Single-Point Rubric . A single-point rubric is breaks down the components of an assignment into different criteria, but instead of describing different levels of performance, only the “proficient” level is described. Feedback space is provided for instructors to give individualized comments to help students improve and/or show where they excelled beyond the proficiency descriptors.

Advantages of single-point rubrics:

• Easier to create than an analytic/descriptive rubric
• Perhaps more likely that students will read the descriptors
• Areas of concern and excellence are open-ended
• May removes a focus on the grade/points
• May increase student creativity in project-based assignments

Disadvantage of analytic rubrics: Requires more work for instructors writing feedback

Step 3 (Optional): Look for templates and examples.

You might Google, “Rubric for persuasive essay at the college level” and see if there are any publicly available examples to start from. Ask your colleagues if they have used a rubric for a similar assignment. Some examples are also available at the end of this article. These rubrics can be a great starting point for you, but consider steps 3, 4, and 5 below to ensure that the rubric matches your assignment description, learning objectives and expectations.

Step 4: Define the assignment criteria

Make a list of the knowledge and skills are you measuring with the assignment/assessment Refer to your stated learning objectives, the assignment instructions, past examples of student work, etc. for help.

  Helpful strategies for defining grading criteria:

• Collaborate with co-instructors, teaching assistants, and other colleagues
• Brainstorm and discuss with students
• Can they be observed and measured?
• Are they important and essential?
• Are they distinct from other criteria?
• Are they phrased in precise, unambiguous language?
• Revise the criteria as needed
• Consider whether some are more important than others, and how you will weight them.

Step 5: Design the rating scale

Most ratings scales include between 3 and 5 levels. Consider the following questions when designing your rating scale:

• Given what students are able to demonstrate in this assignment/assessment, what are the possible levels of achievement?
• How many levels would you like to include (more levels means more detailed descriptions)
• Will you use numbers and/or descriptive labels for each level of performance? (for example 5, 4, 3, 2, 1 and/or Exceeds expectations, Accomplished, Proficient, Developing, Beginning, etc.)
• Don’t use too many columns, and recognize that some criteria can have more columns that others . The rubric needs to be comprehensible and organized. Pick the right amount of columns so that the criteria flow logically and naturally across levels.

Step 6: Write descriptions for each level of the rating scale

Artificial Intelligence tools like Chat GPT have proven to be useful tools for creating a rubric. You will want to engineer your prompt that you provide the AI assistant to ensure you get what you want. For example, you might provide the assignment description, the criteria you feel are important, and the number of levels of performance you want in your prompt. Use the results as a starting point, and adjust the descriptions as needed.

Building a rubric from scratch

For a single-point rubric , describe what would be considered “proficient,” i.e. B-level work, and provide that description. You might also include suggestions for students outside of the actual rubric about how they might surpass proficient-level work.

For analytic and holistic rubrics , c reate statements of expected performance at each level of the rubric.

• Consider what descriptor is appropriate for each criteria, e.g., presence vs absence, complete vs incomplete, many vs none, major vs minor, consistent vs inconsistent, always vs never. If you have an indicator described in one level, it will need to be described in each level.
• You might start with the top/exemplary level. What does it look like when a student has achieved excellence for each/every criterion? Then, look at the “bottom” level. What does it look like when a student has not achieved the learning goals in any way? Then, complete the in-between levels.
• For an analytic rubric , do this for each particular criterion of the rubric so that every cell in the table is filled. These descriptions help students understand your expectations and their performance in regard to those expectations.

Well-written descriptions:

• Describe observable and measurable behavior
• Use parallel language across the scale
• Indicate the degree to which the standards are met

Step 7: Create your rubric

Create your rubric in a table or spreadsheet in Word, Google Docs, Sheets, etc., and then transfer it by typing it into Moodle. You can also use online tools to create the rubric, but you will still have to type the criteria, indicators, levels, etc., into Moodle. Rubric creators: Rubistar , iRubric

Step 8: Pilot-test your rubric

Prior to implementing your rubric on a live course, obtain feedback from:

• Teacher assistants

Try out your new rubric on a sample of student work. After you pilot-test your rubric, analyze the results to consider its effectiveness and revise accordingly.

• Limit the rubric to a single page for reading and grading ease
• Use parallel language . Use similar language and syntax/wording from column to column. Make sure that the rubric can be easily read from left to right or vice versa.
• Use student-friendly language . Make sure the language is learning-level appropriate. If you use academic language or concepts, you will need to teach those concepts.
• Share and discuss the rubric with your students . Students should understand that the rubric is there to help them learn, reflect, and self-assess. If students use a rubric, they will understand the expectations and their relevance to learning.
• Consider scalability and reusability of rubrics. Create rubric templates that you can alter as needed for multiple assignments.
• Maximize the descriptiveness of your language. Avoid words like “good” and “excellent.” For example, instead of saying, “uses excellent sources,” you might describe what makes a resource excellent so that students will know. You might also consider reducing the reliance on quantity, such as a number of allowable misspelled words. Focus instead, for example, on how distracting any spelling errors are.

Example of an analytic rubric for a final paper

Example of a holistic rubric for a final paper, single-point rubric, more examples:.

• Single Point Rubric Template ( variation )
• Analytic Rubric Template make a copy to edit
• A Rubric for Rubrics
• Bank of Online Discussion Rubrics in different formats
• Mathematical Presentations Descriptive Rubric
• Math Proof Assessment Rubric
• Kansas State Sample Rubrics
• Design Single Point Rubric

Technology Tools: Rubrics in Moodle

• Moodle Docs: Rubrics
• Moodle Docs: Grading Guide (use for single-point rubrics)

Tools with rubrics (other than Moodle)

• Google Assignments
• Turnitin Assignments: Rubric or Grading Form

Other resources

• DePaul University (n.d.). Rubrics .
• Gonzalez, J. (2014). Know your terms: Holistic, Analytic, and Single-Point Rubrics . Cult of Pedagogy.
• Goodrich, H. (1996). Understanding rubrics . Teaching for Authentic Student Performance, 54 (4), 14-17. Retrieved from   
• Miller, A. (2012). Tame the beast: tips for designing and using rubrics.
• Ragupathi, K., Lee, A. (2020). Beyond Fairness and Consistency in Grading: The Role of Rubrics in Higher Education. In: Sanger, C., Gleason, N. (eds) Diversity and Inclusion in Global Higher Education. Palgrave Macmillan, Singapore.

18 Biocore Oral Presentation Rubric

Organization, presentation mechanics, rubric scores to letter grade conversion guide.

Download Biocore rubrics in PDF format

Process of Science Companion: Science Communication Copyright © 2017 by University of Wisconsin-Madison Biology Core Curriculum (Biocore) is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License , except where otherwise noted.

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15 Helpful Scoring Rubric Examples for All Grades and Subjects

In the end, they actually make grading easier.

When it comes to student assessment and evaluation, there are a lot of methods to consider. In some cases, testing is the best way to assess a student’s knowledge, and the answers are either right or wrong. But often, assessing a student’s performance is much less clear-cut. In these situations, a scoring rubric is often the way to go, especially if you’re using standards-based grading . Here’s what you need to know about this useful tool, along with lots of rubric examples to get you started.

What is a scoring rubric?

In the United States, a rubric is a guide that lays out the performance expectations for an assignment. It helps students understand what’s required of them, and guides teachers through the evaluation process. (Note that in other countries, the term “rubric” may instead refer to the set of instructions at the beginning of an exam. To avoid confusion, some people use the term “scoring rubric” instead.)

A rubric generally has three parts:

• Performance criteria: These are the various aspects on which the assignment will be evaluated. They should align with the desired learning outcomes for the assignment.
• Rating scale: This could be a number system (often 1 to 4) or words like “exceeds expectations, meets expectations, below expectations,” etc.
• Indicators: These describe the qualities needed to earn a specific rating for each of the performance criteria. The level of detail may vary depending on the assignment and the purpose of the rubric itself.

Rubrics take more time to develop up front, but they help ensure more consistent assessment, especially when the skills being assessed are more subjective. A well-developed rubric can actually save teachers a lot of time when it comes to grading. What’s more, sharing your scoring rubric with students in advance often helps improve performance . This way, students have a clear picture of what’s expected of them and what they need to do to achieve a specific grade or performance rating.

Learn more about why and how to use a rubric here.

Types of Rubric

There are three basic rubric categories, each with its own purpose.

Holistic Rubric

Source: Cambrian College

This type of rubric combines all the scoring criteria in a single scale. They’re quick to create and use, but they have drawbacks. If a student’s work spans different levels, it can be difficult to decide which score to assign. They also make it harder to provide feedback on specific aspects.

Traditional letter grades are a type of holistic rubric. So are the popular “hamburger rubric” and “ cupcake rubric ” examples. Learn more about holistic rubrics here.

Analytic Rubric

Source: University of Nebraska

Analytic rubrics are much more complex and generally take a great deal more time up front to design. They include specific details of the expected learning outcomes, and descriptions of what criteria are required to meet various performance ratings in each. Each rating is assigned a point value, and the total number of points earned determines the overall grade for the assignment.

Though they’re more time-intensive to create, analytic rubrics actually save time while grading. Teachers can simply circle or highlight any relevant phrases in each rating, and add a comment or two if needed. They also help ensure consistency in grading, and make it much easier for students to understand what’s expected of them.

Learn more about analytic rubrics here.

Developmental Rubric

Source: Deb’s Data Digest

A developmental rubric is a type of analytic rubric, but it’s used to assess progress along the way rather than determining a final score on an assignment. The details in these rubrics help students understand their achievements, as well as highlight the specific skills they still need to improve.

Developmental rubrics are essentially a subset of analytic rubrics. They leave off the point values, though, and focus instead on giving feedback using the criteria and indicators of performance.

Learn how to use developmental rubrics here.

Ready to create your own rubrics? Find general tips on designing rubrics here. Then, check out these examples across all grades and subjects to inspire you.

Elementary School Rubric Examples

These elementary school rubric examples come from real teachers who use them with their students. Adapt them to fit your needs and grade level.

Reading Fluency Rubric

You can use this one as an analytic rubric by counting up points to earn a final score, or just to provide developmental feedback. There’s a second rubric page available specifically to assess prosody (reading with expression).

Learn more: Teacher Thrive

Reading Comprehension Rubric

The nice thing about this rubric is that you can use it at any grade level, for any text. If you like this style, you can get a reading fluency rubric here too.

Learn more: Pawprints Resource Center

Written Response Rubric

Rubrics aren’t just for huge projects. They can also help kids work on very specific skills, like this one for improving written responses on assessments.

Learn more: Dianna Radcliffe: Teaching Upper Elementary and More

Interactive Notebook Rubric

If you use interactive notebooks as a learning tool , this rubric can help kids stay on track and meet your expectations.

Learn more: Classroom Nook

Project Rubric

Use this simple rubric as it is, or tweak it to include more specific indicators for the project you have in mind.

Learn more: Tales of a Title One Teacher

Behavior Rubric

Developmental rubrics are perfect for assessing behavior and helping students identify opportunities for improvement. Send these home regularly to keep parents in the loop.

Learn more: Teachers.net Gazette

Middle School Rubric Examples

In middle school, use rubrics to offer detailed feedback on projects, presentations, and more. Be sure to share them with students in advance, and encourage them to use them as they work so they’ll know if they’re meeting expectations.

Argumentative Writing Rubric

Argumentative writing is a part of language arts, social studies, science, and more. That makes this rubric especially useful.

Learn more: Dr. Caitlyn Tucker

Role-Play Rubric

Role-plays can be really useful when teaching social and critical thinking skills, but it’s hard to assess them. Try a rubric like this one to evaluate and provide useful feedback.

Learn more: A Question of Influence

Art Project Rubric

Art is one of those subjects where grading can feel very subjective. Bring some objectivity to the process with a rubric like this.

Source: Art Ed Guru

Diorama Project Rubric

You can use diorama projects in almost any subject, and they’re a great chance to encourage creativity. Simplify the grading process and help kids know how to make their projects shine with this scoring rubric.

Learn more: Historyourstory.com

Oral Presentation Rubric

Rubrics are terrific for grading presentations, since you can include a variety of skills and other criteria. Consider letting students use a rubric like this to offer peer feedback too.

Learn more: Bright Hub Education

High School Rubric Examples

In high school, it’s important to include your grading rubrics when you give assignments like presentations, research projects, or essays. Kids who go on to college will definitely encounter rubrics, so helping them become familiar with them now will help in the future.

Presentation Rubric

Analyze a student’s presentation both for content and communication skills with a rubric like this one. If needed, create a separate one for content knowledge with even more criteria and indicators.

Learn more: Michael A. Pena Jr.

Debate Rubric

Debate is a valuable learning tool that encourages critical thinking and oral communication skills. This rubric can help you assess those skills objectively.

Learn more: Education World

Project-Based Learning Rubric

Implementing project-based learning can be time-intensive, but the payoffs are worth it. Try this rubric to make student expectations clear and end-of-project assessment easier.

Learn more: Free Technology for Teachers

100-Point Essay Rubric

Need an easy way to convert a scoring rubric to a letter grade? This example for essay writing earns students a final score out of 100 points.

Learn more: Learn for Your Life

Drama Performance Rubric

If you’re unsure how to grade a student’s participation and performance in drama class, consider this example. It offers lots of objective criteria and indicators to evaluate.

Learn more: Chase March

How do you use rubrics in your classroom? Come share your thoughts and exchange ideas in the WeAreTeachers HELPLINE group on Facebook .

Plus, 25 of the best alternative assessment ideas ..

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Group presentation rubric

This is a grading rubric an instructor uses to assess students’ work on this type of assignment. It is a sample rubric that needs to be edited to reflect the specifics of a particular assignment. Students can self-assess using the rubric as a checklist before submitting their assignment.

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Science Rubrics

Exemplars science material includes standards-based rubrics that define what work meets a standard, and allows teachers (and students) to distinguish between different levels of performance.

Our science rubrics have four levels of performance: Novice , Apprentice , Practitioner (meets the standard), and Expert .

Exemplars uses two types of rubrics:

• Standards-Based Assessment Rubrics are used by teachers to assess student work in science. (Exemplars science material includes both a general science rubric as well as task-specific rubrics with each investigation.)
• Student Rubrics are used by learners in peer- and self-assessment.

Assessment Rubrics

Standards-based science rubric.

This rubric is based on science standards from the National Research Council and the American Association for the Advancement of Science.

K–2 Science Continuum

This continuum was developed by an Exemplars workshop leader and task writer, Tracy Lavallee. It provides a framework for assessing the scientific thinking of young students.

Student Rubrics

Seed rubric.

This rubric is appropriate for use with younger children. It shows how a seed develops, from being planted to becoming a flowering plant. Each growth level represents a different level of performance.

What I Need to Do

While not exactly a rubric, this guide assists students in demonstrating what they have done to meet each criterion in the rubric. The student is asked in each criterion to describe what they need to do and the evidence of what they did.

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Same AI + Different Deployment Plans = Different Ethics

KENNESAW, Ga. | May 14, 2024

Why Autonomous Cars Aren’t Yet Ethical For Wide Deployment

This month I will address an aspect of the ethics of artificial intelligence (AI) and analytics that I think many people don’t fully appreciate. Namely, the ethics of a given algorithm can vary based on the specific scope and context of the deployment being proposed. What is considered unethical within one scope and context might be perfectly fine in another. I’ll illustrate with an example and then provide steps you can take to make sure your AI deployments stay ethical.

There are limited tests of fully autonomous, driverless cars happening around the world today. However, the cars are largely restricted to low-speed city streets where they can stop quickly if something unusual occurs. Of course, even these low-speed cars aren’t without issues. For example, there are reports of autonomous cars being confused and stopping when they don’t need to and then causing a traffic jam because they won’t start moving again.

We don’t yet see cars running in full autonomous mode on higher speed roads and in complex traffic, however. This is in large part because so many more things can go wrong when a car is moving fast and isn’t on a well-defined grid of streets. If an autonomous car encounters something it doesn’t know how to handle going 15 miles per hour, it can safely slam on the brakes. If in heavy traffic traveling at 65 miles per hour, however, slamming on the breaks can cause a massive accident. Thus, until we are confident that autonomous cars will handle virtually every scenario safely, including novel ones, it just won’t be ethical to unleash them at scale on the roadways.

Some Massive Vehicles Are Already Fully Autonomous – And Ethical!

If cars can’t ethically be fully autonomous today, certainly huge farm equipment with spinning blades and massive size can’t, right? Wrong! Manufacturers such as John Deere have fully autonomous farm equipment working in fields today. You can see one example in the picture below. This massive machine rolls through fields on its own and yet it is ethical. Why is that?

In this case, while the equipment is massive and dangerous, it is in a field all by itself and moving at a relatively low speed. There are no other vehicles to avoid and few obstacles. If the tractor sees something it isn’t sure how to handle, it simply stops and alerts the farmer who owns it via an app. The farmer looks at the image and makes a decision -- if what is in the picture is just a puddle reflecting clouds in an odd way, the equipment can be told to proceed. If the picture shows an injured cow, the equipment can be told to stop until the cow is attended to.

This autonomous vehicle is ethical to deploy since the equipment is in a contained environment, can safely stop quickly when confused, and has a human partner as backup to help handle unusual situations. The scope and context of the autonomous farm equipment is different enough from regular cars that the ethics calculations lead to a different conclusion.

Putting The Scope And Context Concept Into Practice

There are a few key points to take away from this example. First, you can’t simply label a specific type of AI algorithm or application as “ethical” or “unethical”. You also must also consider the specific scope and context of each deployment proposed and make a fresh assessment for every individual case.

Second, it is necessary to revisit past decisions regularly. As autonomous vehicle technology advances, for example, more types of autonomous vehicle deployments will move into the ethical zone. Similarly, in a corporate environment, it could be that updated governance and legal constraints move something from being unethical to ethical - or the other way around. A decision based on ethics is accurate for a point in time, not for all time.

Finally, it is necessary to research and consider all the risks and mitigations at play because a situation might not be what a first glance would suggest. For example, most people would assume autonomous heavy machinery to be a big risk if they haven’t thought through the detailed realities as outlined in the prior example.

All of this goes to reinforce that ensuring ethical deployments of AI and other analytical processes is a continuous and ongoing endeavor. You must consider each proposed deployment, at a moment in time, while accounting for all identifiable risks and benefits. This means that, as I’ve written before , you must be intentional and diligent about considering ethics every step of the way as you plan, build, and deploy any AI process.

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• FDA Grand Rounds - FDA’s Color Certification Program - Regulation and Research - 06/13/2024

Webcast | Virtual

Event Title FDA Grand Rounds - FDA’s Color Certification Program - Regulation and Research June 13, 2024

About the Speaker

Bhakti Petigara Harp, Ph.D. Research Chemist  Office of Cosmetics and Colors (OCAC) Center for Food Safety and Applied Nutrition (CFSAN) U. S. Food and Drug Administration (FDA)

Dr. Bhakti Petigara Harp has been with FDA's Office of Cosmetics and Colors (OCAC) in the Center for Food Safety and Applied Nutrition (CFSAN) as a research chemist since 2000. Her current responsibilities include research and methods development for color additives and other components using various analytical techniques for the agency’s color certification program. She also is a technical expert and troubleshooter to support the FDA district laboratories in regulatory actions concerning the analysis of atypical samples of food, drugs and cosmetics containing organic color additives. In addition, Bhakti performs chemistry reviews of data establishing chemical identity, composition, stability, and manufacture of color additives submitted in support of color additive petitions. Bhakti earned her B.S. in Chemistry from Franklin and Marshall College in Lancaster, Pennsylvania.  She earned her Ph.D. in Chemistry from University of Maryland in College Park, MD. 

About the Presentation

The U.S. Food and Drug Administration (FDA) regulates color additives under the authority of the Federal Food, Drug, and Cosmetic Act.  Color additives must be pre-approved by the FDA and listed in Title 21 of the Code of Federal Regulations before they may be used in FDA-regulated products. The presentation will explain the color additive petition process and how a color additive is listed for use in FDA-regulated products. We will also give a detailed look into FDA’s color certification process. The presentation will discuss research topics related to the certification of the color additives. 

Learning Objectives

• Describe a color additive.
• Identify certified color additives.
• Explain how a color additive gets listed.
• Explain certification process for color additives.
• Discuss certification research related topics.

To Register

FDA employees MUST register in BOTH the following:

• LMS REGISTRATION *Once you have registered in ZOOM, you will receive a confirmation email with the webcast URL
• ZOOM REGISTRATION  

Non-FDA employees must register in:  

• ZOOM REGISTRATION *Once you have registered in ZOOM, you will receive a confirmation email with the webcast URL

After Zoom webcast registration, you will receive a link via email to access the live webinar. You must log in with the username and password created when you registered.  Please pre-register at least two days before the event to ensure you receive the access link and outlook invitation for the session. We will discuss applications for this analysis and share finding from completed work.

For technical assistance please contact: [email protected]