2026 Teaching Symposium: Assessments and Evaluation in the Age of Generative AI

On Tuesday, March 24, 2026, faculty and instructional staff gathered for a practical conversation about how generative AI is shaping teaching, assessment, and evaluation. The symposium explored what was working, what remained challenging, and what supports were most needed, including guidance on student use of AI, fairness in grading, academic integrity processes, and equity and privacy considerations. The day featured workshops, a panel discussion, and hands-on tools that participants could apply in their own courses.

Complimentary lunch was provided by SMU Alumni, and refreshments were provided by CUPE 3912.

Keynote Address

The Assessment Reckoning: Practical Pathways Forward in a Postplagiarism Era
Dr. Sarah Eaton, scholar of academic integrity and AI

The rapid rise of AI tools has forced educators to confront fundamental questions about how and why student learning is assessed. In her keynote, Dr. Sarah Elaine Eaton examined how generative AI is reshaping assessment design in higher education and what that means for academic integrity, pedagogy, and institutional policy. Rather than focusing on detection and restriction, the session took a forward-looking, solutions-oriented approach. Drawing on current research and real-world examples, attendees left with concrete tools to redesign assessments so they are meaningful, equitable, and well suited to a postplagiarism era.

Symposium Schedule
Click here to view a copy of the symposium schedule.

Keynote Recording
Watch the keynote recording here: