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 leaving the classroom or submit it directly to the instructor. This approach supports academic integrity while encouraging deeper learning through real-time, open-ended tasks.
The session will offer practical strategies for:
Integrating paper-based and online assignments during class

Creating rubric-based grading workflows for timely, meaningful feedback

Supporting both group and individual authentic tasks aligned with course goals

Whether you teach in STEM, the humanities, or the social sciences, this workshop will help you design assessments that more accurately capture student understanding.