This session examines the development of a student-centered AI Teaching and Learning Lab at a four-year urban university. Participants will learn the rationale for the lab’s creation, the peer-tutor staffing model, and the PEER framework (Permission, Evaluate, Engage, Reflect) used to train student tutors. Drawing on reflections from the lab’s Spring 2026 launch, the session highlights key challenges and successes. Attendees will leave with adaptable materials and practical strategies for building a student-focused AI lab and integrating AI frameworks across classroom contexts.
