2026 University of Toronto Teaching & Learning Symposium

Jam Session

60-minutes
Jam Sessions include a live presentation with audience interaction/activities as well as a time for discussion/Q&A.

2.1 Conversations in Beta: An Interactive Workshop on AI‑Generated Simulations

2026-05-05T16:43:43-04:00

Michael Cournoyea, PhD, Assistant Professor, Teaching Stream, Faculty of Kinesiology and Physical Education Tolulola Taiwo-Hanna, MSW, RSW, PhD Candidate, Factor-Inwentash Faculty of Social Work Joelleann Forbes, MSW, RSW, Sessional Instructor, Factor-Inwentash Faculty of Social Work Filtering the Noise: Tools, Trends, and Tensions                     Educators across disciplines are increasingly exploring how Large Language Models (LLMs) might support richer forms of experiential learning. One emerging use case is the development of interactive simulations—dynamic, responsive scenarios that allow students to practice discernment, apply concepts, and experiment with different approaches in a low‑stakes environment. In this interactive [...]

2.1 Conversations in Beta: An Interactive Workshop on AI‑Generated Simulations2026-05-05T16:43:43-04:00

2.3 GenAI and teaching integrity

2026-05-05T16:43:43-04:00

Meranda Salem, Sessional Instructor, PhD, Electrical and Computer Engineering, FASE                  Filtering the Noise: Tools, Trends, and Tensions         The rapid adoption of generative artificial intelligence (GenAI) tools in higher education presents both opportunities and challenges for maintaining teaching and assessment integrity. Rather than viewing GenAI solely as a threat to academic honesty, this proposal frames it as a pedagogical tool that must be intentionally integrated through evidence-informed course design. Teaching integrity in the GenAI era is supported not by surveillance or detection technologies, but by transparent expectations, authentic assessments, and student [...]

2.3 GenAI and teaching integrity2026-05-05T16:43:43-04:00
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