AI Teaching Lab: Five Hands-On Workshops
Generative AI is a part of students’ academic lives. The challenge for instructors is not whether to “allow” AI – but rather how to design for student thinking, judgement and learning.
This 5-part series is for instructors who want dedicated work time to build out aspects of their course. Each session is a structured working studio where faculty revise their own course materials and receive peer feedback.
This is an in-person program. (Accommodations for remote faculty can be arranged.)
Join one or all of the sessions. Thursdays from 2:00-3:30pm
Spring Meeting Schedule
Thursday, January 15th : Writing a clear and equitable AI syllabus statements
Bring: Your current syllabus and any existing AI-related policies.
Build: A clear, values-aligned AI statement, language that conveys why, and easy to follow expectations.
Leave With: A syllabus-ready statement, peer feedback on tone, clarity and alignment.
Thursday, January 29th: Teaching students how to use AI thoughtfully
Bring: a moment in your course where students struggle with learning.
Build: a learning activity explicitly using AI, prompts that help students with this problem, reflections.
Leave With: an activity that can be used in your course to guide students on how and why to use AI for learning.
Thursday, February 26th: Design assignments and instructions
Bring: An existing assignment you want to revise.
Build: Clear reasoning and steps outlining when, where and how to use AI.
Leave With: An assignment sheet for student to use when submitting assignments.
Thursday, March 26th: Clarifying expectations and grading
Bring: A rubric or grading criteria tied to an assignment.
Build: Revised criteria that distinguishes AI level work from human level work.
Leave With: A revised rubric or grading guide, better understanding of “excellence” in your course.
Thursday, April 23rd: Using AI for practice, feedback and role-play
Bring: A learning outcome that would benefit from practice, perspective taking or feedback.
Build: An AI-supported practice with designed prompts.
Leave With: A discipline specific activity that invites AI as a partner.