Tea for Teaching The Science of Learning Meets AI
Jan 14, 2026
Lew Ludwig, a Professor of Mathematics and former Director of the Center for Learning and Teaching, and Todd Zakrajsek, an Adjunct Associate Research Professor with a focus on evidence-based teaching, explore the intersection of generative AI and teaching. They discuss their new resource to help faculty adapt to AI in their practices and the importance of addressing concerns about AI's impact on education. Key concepts include the ACE model for integrating AI and the potential of AI to provide personalized feedback and support diverse learners.
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Acknowledge The Disruption First
- Faculty didn't ask for AI disruption and will grieve the change before adapting.
- Lew Ludwig urges acknowledging that reality as a first step to productive AI integration.
Adapt Existing Assignments First
- Start small by adapting existing assignments with AI rather than chasing new tools.
- Use AI to 'tilt' assignments so students better understand purpose and tasks.
Create Then Embed AI Uses
- Create opportunities AI alone couldn't enable, like global microcollaboration and rapid scaling.
- Then embed successful AI practices into regular course routines incrementally.
