Teaching & GenAI:
A Faculty Day of Exchange
Friday, November 6
Knight Library
AI is changing teaching and learning. Here’s how UO faculty are responding.
This day of programming puts faculty practices front and center. UO colleagues are strengthening students’ AI literacy, experimenting with AI in their courses, rethinking assignments from the ground up, and deepening their teaching of skills that are distinctly human.
The Day of Exchange is a day of real examples, exploration, discussion, and inspiration—and the pleasure of being in community with colleagues. Each of the three panels also will underscore practical strategies and resources.
Come share ideas, borrow a few, and connect to UO's innovative, resourceful teaching community.
Get Involved in the Year of AI!
During Week 8 (Nov 16-19) is Duck In: Teaching in the Age of AI. Sign up now to open seats in your class to colleagues (sign ups to visit classes coming soon)!
TEP and our partners in the Composition Program, UO Online, and UO Libraries are convening five faculty Communities of Practice throughout the year. Learn more about these stipended groups.
Day of Exchange Session and Room Information
Click on an event to see more details below.
Browsing Room (Rm 106)
Teaching AI Literacy and Competency
9:30 - 11am
Deepening and Assessing Durable Human Skills
1:30 - 3pm
AI-Aware Course and Assignment Design
3:30 - 5pm
Session Details
Knowing about AI and knowing how to use it are different skills. AI literacy is “a foundational conceptual understanding of AI,” focused on “knowledge, critical thinking, and ethical awareness” (Chiu 2025). AI competency is the technical skill to use AI well. Hear how colleagues are teaching both: building the literacy that protects students’ critical thinking, and the competency to use AI effectively and responsibly. Panelists also will address how individual teaching practices might scale to more unit-level or systematic approaches.
Coffee and tea will be served.
Panelists
- Jason Brown, Creative Writing
Hank Childs, Computer Science - Ram Durairajan, Computer Science
- Maithreyi Gopalan, Education Studies
Many faculty are thinking anew about the enduring, human skills of a UO education: say, asking good questions, exercising discernment, collaborating with others, and acting ethically in community. These skills hold their value as technology changes, and they prepare students to contribute to the networks, communities, and publics they will join beyond the university.
Join us to discuss which human skills are most urgent for UO students to learn, how panelists and participants are teaching them, and how assessment can shift to capture them.
Panelists
- Lara Bovilsky, English
- José Melendez, PPPM
- Alison Gash, Political Science
Close the day with colleagues who have reimagined their courses and assignments through the Teaching Triangles program. Faculty will share what they changed, what they learned, and what they would tell a colleague just starting this work. Along the way, we’ll highlight the design moves that matter most when teaching in an age of generative AI: making an assignment’s purpose visible, anchoring tasks in context, promoting process, and verifying learning. We’ll also look at how clear communication about AI expectations and attention to students’ AI literacy and metacognition keep their thinking at the center.
There’s no such thing as an AI-proof assignment, but there is such a thing as an AI-aware one, designed so that students still do the thinking the assignment is meant to build. Join us to celebrate this work and to support colleagues across campus who are taking on their own revisions.
Drinks and hors d’oeuvres will be served.
Panelists
- Chris Sinclair, Math
- Yizhao Yang, PPPM
- And more to come!
Drop into the DREAM lab to meet with Information Services colleagues to learn more about UO's GenAI tools, experiment with what LLMs can do in relation to your own assignments, and discover whether LLMs could have any efficacy in your own work.