The University of California emphasizes that integrating generative AI into instruction must prioritize faculty autonomy, disciplinary flexibility, and responsible data stewardship. This group supports faculty developers and instructional designers in navigating the ethical, pedagogical, and administrative challenges of AI in teaching and learning. We share strategies and resources to adapt to AI in teaching and learning: campus guidance documents, faculty workshops, and ideas for other ways of supporting teaching in the age of AI.
AI Assisted Writing
Richard Hunt
UC Riverside
AI Course Design with Playlab AI in the Berkeley Changemaker Gateway Course
Christyna Serrano
UC Berkeley
AI Community of Practice
includes recordings from the annual AI Symposium
UC Santa Barbara
Resource: I think a student may have misused generative AI — now what?
UC Santa Cruz
Designing AI-Resistant Assessments: 10 Strategies for Deeper Human Engagement
Karthikeyan Chandrasegaran
UC Riverside
The AI in Teaching and Learning working group is led by Tara Mason, UDL Consultant at UC Berkeley, and Mindy Colin, Associate Director of Digital Pedagogy at UC Santa Barbara
Mindy Colin
UC Santa Barbara
Tara Mason
UC Berkeley
Michael Tassio
UC Santa Cruz
Lisa Berry
UC Santa Barbara
Samantha Eastman
UC Riverside