UCLA Teaching Symposium

9 a.m.–4 p.m., June 10

 UCLA University Club, Morris Room

Overview

This full-day event will thoughtfully address AI’s evolving role and impact on teaching and learning. Panel discussions, flash talks, and a keynote address will bring together experts to explore practical, ethical, and equitable uses in instruction from a variety of perspectives. The day will close with a technology exposition to demonstrate various tools and opportunities for instructors interested in responsibly integrating AI into courses.

Keynote Address by Terence Tao

Beyond Answers: What Should Math (and all) Students Focus on Learning in the AI Era?

Terence Tao is a professor & The James and Carol Collins Chair in the UCLA College of Letters and Sciences, as well as a Fellow of the Royal Society and the Australian Academy of Sciences. A prolific and renowned scholar, he was awarded the Fields Medal in 2006 for his work on partial differential equations. Tao’s research spans numerous areas of mathematics including harmonic analysis, number theory, geometric combinatorics, arithmetic combinatorics, and algebraic combinatorics. Tao has also been recognized for his teaching and received the 2005 Robert Sorgenfrey Distinguished Teaching Award in the Department of Mathematics. Learn more about the keynote speaker

Panel Discussion

A group of faculty experts with diverse perspectives will illuminate the most pressing issues and implications at this stage of AI’s presence in higher education. Moderated by Kem Saichaie, TLC Executive Director.

Panelists include:

Joshua Samani, Associate Teaching Professor, Physics & Astronomy

Danny Snelson, Associate Professor of English + Design Media Arts

Melissa Paquette-Smith, Associate Teaching Professor, Psychology

Terence Tao, Professor & The James and Carol Collins Chair in the UCLA College of Letters and Sciences 

Serena Wang, Chair of the UCLA AI in Medical Education Council & Associate Clinical Professor, David Geffen School of Medicine

Concurrent Sessions

Showcased examples of how instructors have integrated AI into courses, developed their own course-specific AI tools, as well as navigated challenges related to academic integrity and ethical concerns.

Technology Exposition and Social Hour

Enjoy refreshments, debrief with colleagues, and explore AI tools for teaching and learning through hands-on demonstrations and roundtables.

A full schedule of symposium events is coming soon.