As generative AI tools become more prevalent, instructors face growing challenges in determining whether student work truly reflects individual thinking and effort. In this session, participants will explore how to design in-class assessments that require students to complete handwritten responses. These may include problem-solving tasks, visual explanations, reading responses, or reflections. Students can either upload their work to Gradescope (available to all U-M instructors) before … Continue reading Back to Paper Without the Pain: Assessment That Reflects Students’ Original Thinking »

This session will outline the basics of GenAI: What it is, how it works, and recommendations for responsible use. With the strengths and limitations of the technology at the forefront, instructors will begin crafting an AI policy for their course. Whether a course encourages students to use GenAI tools or prohibits its use, this session will help instructors clearly articulate to students how the course … Continue reading Crafting an AI Policy to Support Student Learning »