Creating clear rubrics and providing consistent feedback can be one of the most time-intensive parts of teaching. This workshop explores how AI tools can help faculty draft templated and detailed rubrics, refine grading criteria, generate feedback language, and support more efficient grading workflows without sacrificing instructional quality. Additionally, it covers research into LMS-specific tools for early warning systems, grading, and feedback to enhance grading practices.
Why watch?
Faculty often spend significant time building rubrics and repeating similar feedback across student submissions. This session demonstrates practical ways AI can reduce administrative workload while supporting clearer expectations, more consistent grading, and stronger student guidance.
What you’ll gain
- Ways to generate rubric templates aligned with different assignment types
- Strategies for building detailed rubrics from learning objectives or assignment criteria
- Approaches for drafting reusable, generalized feedback with AI support
- Insights into LMS tools that support grading workflows, feedback, and early student intervention