Using AI to Create Rubrics
Why Use a Rubric?
Rubrics are evaluation tools that set student expectations and increase grading consistency in your courses. Rubrics can be used to assess all kinds of student work, from oral presentations to creative projects. Rubrics feature evaluative criteria, definitions that distinguish student performance across a continuum, and a scoring strategy for translating these qualitative evaluations into grades.
Well-designed rubrics can help instructors assess assignments consistently and objectively, save time in grading, and provide timely and effective feedback that promotes sustainable student learning. They also clarify expectations and assignment components for both students and teaching assistants, which can reduce uncertainty and grading complaints.
For students, rubrics can clarify assignment expectations and components, help students recognize how assignments align with course objectives, increase awareness of students’ own learning process and progress, and help them to evaluate and improve their work.
How Can AI Help with Creating Rubrics?
Generative AI is now a practical part of many instructors’ workflows, and rubric creation is one of the areas where it can genuinely save time. AI tools can help you draft criteria, suggest performance descriptors, and produce multiple versions of a rubric quickly — freeing you to focus on refining rather than building from scratch. That said, AI-generated rubrics should always be treated as a starting point. You’ll need to review and customize them to fit your specific course, assignment, and learning goals.
Step 1: Define Your Needs
Before using AI, clarify what you need from the rubric. Consider the following:
Assignment Details: What is the purpose of the assignment? What skills or knowledge should students demonstrate?
Learning Outcomes: How will students show they have met the learning objectives?
Assessment Criteria: What distinguishes strong work from weaker work? What common mistakes should the rubric address?
Rubric Type: Do you want an analytic rubric (separate scores for different criteria), a holistic rubric (a single overall evaluation), or a single-point rubric (focusing on expectations and feedback without numerical scoring)?
Scoring Scale: How many levels of performance will you include? A 4-point scale (e.g., Exemplary, Proficient, Developing, Beginning) is common in higher education and allows for finer distinctions. A 3-point scale (e.g., Exemplary, Satisfactory, Unsatisfactory) works well for simpler assignments.
Step 2: Generate an AI Prompt
Once you’ve outlined your rubric’s key elements, you can submit a prompt to a generative AI tool. Effective prompts are specific about context, criteria, and tone — and it’s worth asking for more than one version so you can compare approaches. A well-structured prompt might look like this:
“You are an experienced college instructor. Create a clear, structured rubric for an undergraduate course on [course topic]. Format it as a table using student-friendly language. The rubric should assess the following assignment: [describe the assignment]. Align it with these learning objectives: [list learning objectives]. Use a 4-point scale (Exemplary, Proficient, Developing, Beginning) and write specific, actionable descriptors for each level. Then briefly explain your rationale for the criteria you chose.”
You can also ask AI to help brainstorm rubric criteria:
“Based on these learning objectives, suggest six criteria to evaluate students’ work, and explain why each criterion matters.”
If the first output doesn’t meet your needs, ask for revisions rather than starting over — for example: “Make the language more concise,” “Add a column for student self-assessment,” or “Generate two alternative versions using different criteria.”
Step 3: Revise and Refine
AI-generated rubrics may need adjustments to fit your grading philosophy and expectations. Review the output and consider:
Clarity: Are the criteria and descriptors specific and actionable?
Fairness: Does the rubric accommodate different valid approaches to the assignment?
Alignment: Does it reflect your course learning objectives and expectations?
Format: If needed, ask AI to reformat the rubric as a checklist, bullet points, or another structure that better suits your needs — including formats compatible with your LMS (see below).
Tips & Best Practices
Start with clear expectations. Before using AI, outline the key components of your rubric: assignment details, learning outcomes, assessment criteria, rubric type, and scoring scale. The clearer your prompt, the more useful the output.
Share the rubric with students before they begin. Research consistently shows that distributing rubrics in advance — not just using them for grading — supports student learning and reduces confusion. Consider posting the rubric when you release the assignment.
Use student-centered language. Ensure the rubric is written in clear, accessible language. Replace vague descriptors like “Needs Improvement” with specific, actionable feedback (e.g., “Lacks supporting evidence for claims” or “Argument does not yet connect to course concepts”).
Pilot before finalizing. Before using a rubric for grading, test it on a few sample pieces of student work to check that it effectively differentiates between performance levels. Getting feedback from TAs or colleagues on clarity and usability is also worthwhile.
Watch for common pitfalls. AI-generated rubrics can be too generic or rigid. Adjust them to allow for flexibility and student creativity, and ensure the language is inclusive — rubrics can unintentionally privilege certain writing styles or cultural conventions, so review descriptors with that lens in mind.
Reuse and version your rubrics. Once you have a rubric that works well, save it as a starting point for future semesters or similar assignments. Keep track of versions so you can refer back to earlier iterations or compare how criteria have evolved over time.
Format for Bruin Learn. Most instructors deploy rubrics directly in Canvas. AI output often needs reformatting before it can be imported or entered into your LMS’s rubric builder — keep this in mind when deciding on table structure and scoring scale.
Check for accessibility. If sharing rubrics digitally, ensure any tables or formatted documents are accessible to screen readers. Use proper heading structure, avoid relying solely on color to convey meaning, and test with your institution’s accessibility tools when possible.
Use AI responsibly and transparently. Treat AI as a drafting assistant, not a final authority — always critically review outputs. Consider discussing your use of AI-generated rubrics with students as part of a broader conversation about transparency in course design.
