Teaching and Learning with AI Conference

Outcome alignment within curricula often feels abstract and compliance driven. This session introduces the CWLO Checker Suite, a set of custom GPTs built in ChatGPT, each tailored to a specific institutional outcome. Faculty paste assignment content and receive structured feedback: matched performance levels, what's already working, and optional improvement suggestions labeled by design framework (TILT, UDL, accessibility). Piloted at a college-wide in-service, the suite made alignment feel concrete, transparent, and surprisingly enjoyable. Participants will see the tool in action and leave with a replicable model for their own institutions.