As Generative AI tools continue to proliferate, faculty are facing the challenge of preserving the integrity of the learning process by designing assessments that are resilient to AI use. This hands-on, two-session lab invites participants to explore practical strategies for creating assignments and assessments that encourage genuine learning and avoid AI. In the first session, participants will examine a range of AI-resilient assessment approaches and identify an assignment or learning activity to design or redesign. Between sessions, participants will develop their designs with support from facilitators. The second session offers an opportunity to share work, receive peer feedback, and draw inspiration from colleagues’ examples across disciplines. Participants will leave with a concrete, revised or newly designed assignment ready for classroom use.

Attendance is expected at both sessions:
Session 1: April 8, 10:15-11:15 am
Session 2: April 15, 10:15-11:15 am
Registering below registers you for both sessions.

Register here.

When

4/15/2026

10:15 am - 11:15 am

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Location

DCAL (Baker 102)

Sponsored by

Dartmouth Center for the Advancement of Learning (DCAL), Learning Design and Innovation, Learning Design and Innovation

Audience

Alumni, Faculty, Postdoc, Staff, Students-Graduate

Registration

Registration required

Avoiding AI: Designing Resilient Assignments