TEP centers faculty voices in its work, including its support around GenAI. This page is a library of teaching practices and assignment moves from faculty across disciplines, AI stances, and course sizes. These examples come out of TEP's AI School/College Sessions and communities of practice like AI Teaching Triangles.
The Course & Assignment Design page outlines seven research-based teaching moves that help students do the work of learning, whether a class uses AI fully, partially, or not at all. This page is organized by those same moves. Each has a short description below, followed by examples from different disciplines.
We want to grow this library. If you've redesigned an assignment or adapted a teaching practice in response to GenAI and want to share it with our teaching community, let us know at tep@uoregon.edu.
Browse by Teaching Move
Communicate With Your Students
Clarify your AI expectations with your students. Share your assignment-level AI policy, explain the reasoning behind it, and regularly invite clarifying questions.
Motivate Your Students
Help students connect the purpose of the assignment to their personal and professional lives. When they understand why the work matters, they're more likely to engage with it.
Build Metacognitive Habits
Create intentional moments for students to reflect on their own thinking and learning processes, with or without AI.
Build AI Literacy
Help students understand how AI tools work, including their limitations and social and economic context. That understanding lets them use AI without giving up their own critical thinking.
Anchor to Context
Connect the task to human experience, local context, personal interpretation, or fieldwork. That kind of grounding makes an assignment harder for AI to fully stand in for.
Promote Process
Make the process visible through staged drafts, in-class steps, reflections, or oral checkpoints.
Verify Learning
Create moments to see student skill directly—in-class writing, oral defenses, live problem-solving.