Friday, February 6, 2026 - 7:00 - 10:30 p.m. and
Saturday, February 7, 2026 - 8:30 a.m. - 2:45 p.m.
Hilton Meadowvale Hotel, 6750 Mississauga Road, Mississauga
Friday, February 6, 2026 - 7:00 - 10:30 p.m. and
Saturday, February 7, 2026 - 8:30 a.m. - 2:45 p.m.
Hilton Meadowvale Hotel, 6750 Mississauga Road, Mississauga
BREAKOUT SESSION A2
8:30 AM – 10:00 AM
Hazel McCallion B
Generative AI in Teaching and Learning
1. From Content Generator to Critical Friend: Supporting Math Teachers with Generative AI
Cal Armstrong, OAME
Teachers in Ontario mathematics classrooms are under unprecedented pressures: complex learner needs, shifting curricula, and the rapid emergence of generative AI. We want to explore how AI (in the form of chatOAME, but really any other AI with sufficient prompting) can function as a pedagogical partner, a kind of always-available critical friend, rather than just being used as a shortcut for generating worksheets.
Drawing on anonymized chats from over 10,000 teacher AI exchanges, participants will engage with the real questions Ontario teachers ask AI about planning, assessment, equity, and classroom dilemmas. Together, we will examine how different prompt moves can shift AI from just producing generic activities toward:
*refining rich math tasks and formative assessment plans,
*rehearsing difficult conversations and anticipating student thinking,
*integrating Indigenous perspectives and culturally responsive examples in authentic, non-tokenistic ways,
*checking for bias, inaccuracy, and ethical concerns in AI-generation and classroom data usage.
We want this session to reimagine AI not as a replacement for professional judgment, but as one tool within a collaborative ecosystem that supports teachers to both survive and thrive.
2. Teaching Integrity in an AI World
Deidre Harrington, OSSTF / Western TELC
Academic integrity is essential for empowering teachers and students in today s evolving educational landscape. In the age of generative AI, supporting early career teachers requires moving beyond punitive approaches toward innovative practices that foster ethical engagement. This session will explore strategies to prevent academic misconduct through proactive design and instruction. First, explicit instruction in AI literacy equips learners with the knowledge needed to navigate emerging technologies responsibly. Second, reimagining assessment design ensures tasks promote critical thinking and intellectual autonomy, reducing over-reliance on AI tools. Finally, diversifying assessment formats such as integrating graphic organizers and visual thinking offers inclusive and authentic ways to demonstrate learning. Rather than focusing on catching cheating, this approach emphasizes collaboration and creativity to prepare educators and students for the complex realities of today's classrooms and the challenges of tomorrow.