This library page organizes faculty-facing guidance for AI-enabled teaching and assessment.
What it covers
The material can support lesson planning, assessment redesign, responsible classroom use, feedback workflows, disclosure norms, and AI-supported teaching productivity.
How faculty can use it
Faculty can use this page to prepare course policies, create AI-aware assignments, design feedback routines, and guide students toward responsible use.
Recommended next step
Pair the guide with a departmental conversation about assessment expectations, student disclosure, and the boundaries of acceptable AI assistance.
How to adapt this material
- Use the material as a lecture note, pre-reading, workshop handout, classroom discussion prompt, or FDP activity.
- Adjust examples for the audience: students need clarity and boundaries, faculty need teaching applications, and researchers need verification and citation discipline.
- Pair the material with a short reflection task so learners explain where AI helped, what they verified, and what remained their own academic judgment.
Quality check
Before using the material in class or training, review examples for accuracy, privacy, academic integrity, disclosure expectations, and fit with institutional policy.