Join faculty and instructional staff for a practical conversation about how generative AI is showing up in teaching, assessment, and evaluation. We will explore what is working, what is challenging, and what supports would be most helpful, including guidance on student use, fairness in grading, academic integrity processes, and equity and privacy considerations. The day will include workshops, a panel discussion, and hands-on application tools you can use in your own courses.
Complimentary lunch provided by SMU Alumni and refreshments 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 (Biography page)
9:00 a.m.–10:00 a.m. | Scotiabank Conference Theater (SB 201)
The rapid rise of AI tools has forced educators to confront fundamental questions about how and why we assess student learning. Dr. Sarah Elaine Eaton examines how GenAI 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, this session takes a forward-looking, solutions-oriented approach. Drawing on current research and real-world examples, attendees will leave with concrete tools to redesign assessments that are meaningful, equitable, and fit for a postplagiarism era.
Event Location & Schedule
This event will take place in two locations:
9:00 a.m.–10:00 a.m. | Keynote Address | Scotiabank Conference Theatre (SB 201)
10:00 a.m.–4:00 p.m. | Speaker Sessions (More information to come) | CLARI (AT 340)
A full schedule of speakers will be announced soon. For more information contact studio@smu.ca.
Registration:
Presented in partnership with Mount Saint Vincent University.
