Build and Test Your Own AI Teaching Assistant in 45 Minutes

In this hands-on Sparkshop, participants will design and test a course-specific AI teaching assistant using Google Gems in Gemini. The session will focus on aligning AI support with course goals, assignment expectations, teaching style, and ethical boundaries. Participants will identify one instructional use case, draft a simple assistant blueprint, test it with student-facing prompts, and revise it using a brief accuracy and alignment check. To participate in the hands-on activities, participants should have access to Google Gemini and be logged into their account before the workshop begins. Participants can review Gemini subscription options at https://gemini.google/subscriptions/ and learn more about Google Gems at https://gemini.google/overview/gems/ .