AI in the Classroom: Evidence-based Insights from SFU Colleagues

What happens when we move beyond the hype and ask: Does using AI actually improve student learning? Our panel featured SFU faculty who have conducted Scholarship of Teaching and Learning (SoTL) projects examining artificial intelligence (AI) in their classrooms.

Our panelists shared their inquiry projects, complete with the data, surprises, and honest insights that came from systematically investigating their own teaching interventions in their classrooms. From designing AI assignments to addressing academic integrity, these faculty members asked critical questions, collected evidence, and discovered what actually works (and what doesn't) for student learning.

This session offered a rare opportunity to move beyond speculation and learn from colleagues' evidence-based experiences with AI. Through brief presentations followed by interactive discussion, we explored best practices grounded in real classroom data and explore together the complex questions AI raises for teaching and learning at SFU.

Whether you're AI-curious, AI-skeptical, or somewhere in between, this panel will ground your thinking in the scholarship of your colleagues.

OUR PANELISTS:

• Bernhard Riecke, FCAT Link to presentation >>
• Michael Sjoerdsma, FAS and Ian Brooks, FIC Link to presentation >>
• Claire Bossavit, FASS  Link to presentation >>
• Michael Filimowicz, FCAT  Link to presentation >>

Resources

• The AI Community of Practice for the SFU Teaching Community 
• The Centre for Educational Excellence (CEE)'s guide for AI & Teaching
• SFU Instructor Guidelines for AI and Teaching