Teaching Week 2025
February 24 – February 28, 2025
The Teaching & Learning Center in collaboration with the Committee on Teaching is pleased to announce that UCSC Teaching Week will be held February 24 – February 28, 2025. Teaching Week is an opportunity to celebrate and elevate the innovative teaching that is happening at UCSC in support of our shared goals of equity-minded and transformative learning for all of our students. Teaching Week events will include:
UCSC Teaching Symposium — Feb 25, 2025; 3:15–6 PM; Cultural Center at Merrill College
The symposium will showcase the work of instructors (including grads, lecturers, senate faculty) presenting on a teaching innovation, activity, program, or scholarly work. Presentation modalities include posters and short spoken presentations. Submissions will be accepted until Monday, January 27, at 5 PM. This is an in-person event.
Experiments with AI in Teaching and Learning — Feb 26, 2025, 5–6:45 PM; Zoom
Humans Do The Heavy Data Lifting / CC-BY 4.0
Have you experimented with generative AI in your teaching, or are you curious about it but haven’t yet had the time to learn how to use it? This event will showcase short presentations from faculty at UC Santa Cruz who will demonstrate use cases for teaching with AI while addressing their experiences—both positive and negative—with using AI in the classroom. The presentations will be followed by a panel discussion about generative AI in teaching and learning, and a more general discussion about how the campus community is shaping engagement with artificial intelligence.
Distinguished Teaching Award Lecture: Teaching is Like a Third Birthday — May 15, 2025; 4–6 PM; University Center Alumni Room
Please join us in this Distinguished Teaching Award Lecture, titled Teaching is like a Third Birthday, by Nathan Altice, the 2023–24 Distinguished Teaching Awardee, who will be presenting about the transformative effect of liberatory teaching practices.
Nathan Altice is a writer, artist, game designer, and Associate Teaching Professor of Computational Media. His research focuses on computing culture, computational platforms, and Japanese game history.