Navigating assessment and GenAI

As generative AI rapidly evolves, many instructors are reassessing their assessments in light of how they can continue to ensure the promotion of learning, fairness, and academic integrity. Yet it can be challenging to determine how to communicate expectations around GenAI to students, identify which assessments may now be more vulnerable to misuse, or make thoughtful revisions that remain feasible within one’s teaching context.

In this interactive workshop, participants will be guided through a structured process for examining and refining an existing assignment in light of GenAI. The session introduces key principles for articulating clear expectations to students, explores approaches for strengthening assessment design in the context of GenAI, and highlights practical considerations for different teaching modalities.

Through hands-on activities, reflective prompts, and peer discussion, participants will analyze the strengths and vulnerabilities of their own assessments, experiment with concrete redesign strategies, and develop clearer ways of communicating expectations to students. Attendees will leave with practical tools, examples, and greater confidence in adapting assessments effectively in the current GenAI landscape.

By the end of this workshop, participants will be able to: 

• Recognize the strengths and vulnerabilities of their own assessments in the current context.

• Effectively communicate their expectations around GenAI use in their assessments.

• Identify important considerations when designing assessments in this context by considering examples of discipline-specific assessment approaches that maintain academic integrity while supporting learning across different modalities.

• Adapt one or more concrete strategies for revising assessments that are vulnerable to GenAI misuse to modify, expand or redesign an existing assignment.

Audience: Concordia faculty