Teaching and Learning with AI Conference

Faculty often struggle not because resources are unavailable, but because the connections between institutional supports for teaching practice and review expectations are not always consistently visible. This session shares lessons from a faculty development initiative that uses generative AI to summarize, categorize, and cross-reference campus resources for just-in-time navigation. Rather than automating decisions, AI is used to increase cognitive efficiency and make complex systems more legible. Using a reflective ERA model (Experience-Reflection-Action), the session demonstrates how leaders can review, revise, and contextualize AI outputs through professional judgment. Participants will gain practical strategies for using AI to design or strengthen their own faculty support, advising, or teaching-focused systems and initiatives.