When Assignments Break: A Practical Framework for AI-Responsive Assignments

Assignments are increasingly under strain in the age of AI. Many existing designs can be easily misused, raising concerns about academic integrity while making it harder to see and support meaningful student learning. Faculty recognize that their assignments may no longer fully reflect student thinking and learning, but need practical ways to redesign them while preserving pedagogical goals, academic integrity, and strong student-faculty relationships. This hands-on workshop responds to that challenge by helping faculty redesign assignments to be AI-responsive without prescribing a single stance on AI use. Participants will diagnose where their current assignments break in an AI-influenced context, engage in a structured decision-making process to determine the role of AI in their assignment, and explore practical, established pedagogical strategies for redesign. Through concrete, cross-disciplinary examples demonstrating various AI-use approaches, participants will apply redesign strategies to revise an existing assignment, with opportunities for group feedback and discussion. By the end of the session, participants will leave with a clearer thought process for making intentional decisions about AI use for their assignments, and practical strategies they can continue to apply to support better student learning, academic integrity, and meaningful faculty-student relationships.