rubric for oral presentation research

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.

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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

	Above Average (4)	Sufficient (3)	Developing (2)	Needs improvement (1)
(Thesis supported by relevant information and ideas	The central purpose of the student work is clear and supporting ideas always are always well-focused. Details are relevant, enrich the work.	The central purpose of the student work is clear and ideas are almost always focused in a way that supports the thesis. Relevant details illustrate the author’s ideas.	The central purpose of the student work is identified. Ideas are mostly focused in a way that supports the thesis.	The purpose of the student work is not well-defined. A number of central ideas do not support the thesis. Thoughts appear disconnected.
(Sequencing of elements/ ideas)	Information and ideas are presented in a logical sequence which flows naturally and is engaging to the audience.	Information and ideas are presented in a logical sequence which is followed by the reader with little or no difficulty.	Information and ideas are presented in an order that the audience can mostly follow.	Information and ideas are poorly sequenced. The audience has difficulty following the thread of thought.
(Correctness of grammar and spelling)	Minimal to no distracting errors in grammar and spelling.	The readability of the work is only slightly interrupted by spelling and/or grammatical errors.	Grammatical and/or spelling errors distract from the work.	The readability of the work is seriously hampered by spelling and/or grammatical errors.

Example of a holistic rubric for a final paper

The audience is able to easily identify the central message of the work and is engaged by the paper’s clear focus and relevant details. Information is presented logically and naturally. There are minimal to no distracting errors in grammar and spelling. : The audience is easily able to identify the focus of the student work which is supported by relevant ideas and supporting details. Information is presented in a logical manner that is easily followed. The readability of the work is only slightly interrupted by errors. : The audience can identify the central purpose of the student work without little difficulty and supporting ideas are present and clear. The information is presented in an orderly fashion that can be followed with little difficulty. Grammatical and spelling errors distract from the work. : The audience cannot clearly or easily identify the central ideas or purpose of the student work. Information is presented in a disorganized fashion causing the audience to have difficulty following the author’s ideas. The readability of the work is seriously hampered by errors.

Single-Point Rubric

Advanced (evidence of exceeding standards)	Criteria described a proficient level	Concerns (things that need work)
	Criteria #1: Description reflecting achievement of proficient level of performance
	Criteria #2: Description reflecting achievement of proficient level of performance
	Criteria #3: Description reflecting achievement of proficient level of performance
	Criteria #4: Description reflecting achievement of proficient level of performance
90-100 points	80-90 points	<80 points

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.

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Research Presentation Rubric

The format of research presentations can vary across and within disciplines. Use this rubric (PDF) to identify and assess elements of research presentations, including delivery strategies and slide design. This resource focuses on research presentations but may be useful beyond. 

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iRubric: History Presentation Rubric

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Rubric Code: By Ready to use Public Rubric Subject:    Type:    Grade Levels: 6-8, Undergraduate

Presentation Rubric

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UVA Doctoral Students Showcase Potential of Advanced Data Science Research

Doctoral students from the University of Virginia’s School of Data Science kicked off the new academic year with a research showcase, highlighting the broad range of areas that advanced studies in data science can help illuminate. 

The event also served as a celebration of the doctoral program and what it means to the mission of the School of Data Science. 

"The Ph.D. program is kind of the perfect mixing of our research endeavors and our educational endeavors," said Thomas Stewart , an associate professor of data science and Ph.D. program director, in opening remarks.

Don Brown , senior associate dean for research and the Quantitative Foundation Distinguished Professor in Data Science, noted that the event was "arguably the best part of the summer," as faculty, staff, and students are given the opportunity to see first-hand the high-level research that Ph.D. students at the School of Data Science had been pursuing in recent months.

Brown also urged audience members as they listened to the oral presentations from second-year students and viewed the research posters from third-year students to ask challenging questions, saying that was "the biggest gift you can give the person" who was presenting.

Oral presentations were delivered by 13 second-year Ph.D. students, whose research covered everything from health care chatbots to deep dives into a wide range of methodological techniques, as well as issues pertaining to large language models. 

Later, 13 third-year students presented research posters that addressed critical issues such as health care, K-12 education, the environment, and many others. 

Following the presentations, an awards ceremony was held, one that both recognized the research that had just been discussed and that celebrated the achievements of the School of Data Science doctoral program — its students, faculty, and staff — over the previous year. Stewart also highlighted a sampling of recent research publications from the School's doctoral students. 

As the day wound down, Jeffrey Blume , Quantitative Foundation Associate Dean for Academic and Faculty Affairs in Data Science, urged the newest group of School of Data Science Ph.D. students in attendance to take inspiration from what they had just seen.

"For those students who are new and who are here, you get a sense of what people are doing their first couple of years, so it's something to look forward to. We look forward to seeing your names up here on publications and listening to your work," he said. 

The 2024-25 academic year will mark the third full year of UVA’s data science doctoral program , which launched in fall 2022. And, for the first time, students in all academic programs will be able to take classes and collaborate with faculty and classmates at the new home of the School of Data Science, which held its grand opening in April .  

Awards 

Best Oral Presentations

• Ethan Nelson , who discussed his work that examined whether signal neural networks can evolve to capture how signals travel between neurons over time
• Ahson Saiyed , who presented his enhanced benchmark, called TAXI 2.0, for evaluating the capacity of knowledge editing methods to leverage batched property edits to make consistent categorical knowledge edits in large language models

Best Research Poster

• Karolina Naranjo-Velasco , who presented her work on facilitating data-drive approaches to legal text analysis of documents from the Colombian Constitutional Court
• Jason Wang , who presented his work assessing computer vision-based worker poster analysis methods

Leadership and Service Award

• Beau LeBlond , a third-year Ph.D. student 

Outstanding Teaching Award

• Jonathan Kropko , a Quantitative Foundation Associate Professor of Data Science

Outstanding Mentoring Award

• Stephen Baek , a Quantitative Foundation Associate Professor of Data Science

Outstanding Student Support Award

• Kylen Baskerville , program manager for the School of Data Science

Full list of second-year oral presentations

• Supervising faculty: Stephen Baek
• Supervising faculty: Don Brown
• Supervising faculty: Heman Shakeri
• Supervising faculty: Jeffrey Blume
• Supervising faculty: John Darrell Van Horn
• Supervising faculty: Sheng Li
• Supervising faculty: Teague Henry
• Supervising faculty: Tom Hartvigsen
• Supervising faculty: Sheng Li and Tom Hartvigsen
• Supervising faculty: Alex Gates

Full list of third-year poster presentations

• Zhanwen Chen : Video Understanding through Video-to-Text Representation Learning
• Supervising faculty: Thomas Stewart
• Supervising faculty: Jonathan Kropko
• Supervising faculty: William Basener
• Supervising faculty: Jess Reia and Jeffrey Blume
• Supervising faculty: William Basener  

Effective Communication Strategies for Ph.D. Research Presentations

UVA’s School of Data Science Honors the Class of 2024

School of Data Science Ph.D. Students and Faculty Member Named To Raven Society

Ph.D., Data Science: Jiahao Tian Successfully Defends Dissertation

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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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