Case study
Scenario-Based AI Labs for Faculty
A hands-on faculty workshop series that uses memorable scenarios to teach practical AI skills for teaching work.
Purpose
A hands-on faculty workshop series that uses memorable scenarios to teach practical AI skills for teaching work.
Overview
These labs help faculty use AI in support of the teaching they already do, rather than asking them to become AI specialists.
The workshops lean on direct application. People leave with practical methods they can try in grading, lesson prep, and student support.
What I built
The format is built around scenario episodes, applied tasks, and structured debriefs, with facilitator prompts and decision aids for common classroom situations. A lot of it pairs deliberately funny scenario framing with serious instructional goals, and that pairing is repeatable across topics.
Why the scenario model worked
The scenario framing put some psychological distance between faculty and their anxiety about AI while still exposing real workflow problems. People could experiment safely and then carry the practices back into their own courses.
It also helped recall. Even when the module names were intentionally absurd, the method and the guardrails underneath were easy to remember.
Current state
This is active as a faculty enablement format and keeps feeding related prototypes for grading and lesson design.
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