Virginia AI Symposium Virtual Track

This day-long symposium brings together instructors from colleges and universities across Virginia to critically explore the evolving role of generative AI in higher education. Grounded in current research on AI’s impact on teaching and learning, the symposium will offer a keynote, interactive sessions, and research presentations that translate emerging scholarship into actionable classroom practices.

Participants will engage in collaborative discussions and hands-on activities that support intentional decision-making about whether and how to incorporate GenAI in ways that enhance student learning. Sessions will focus on meaningful educational uses of GenAI in coursework and assessment, as well as building capacity for integration across diverse academic contexts.

Attendees will leave with practical tools, adaptable strategies, and curated resources. In addition, the symposium fosters cross-institutional dialogue, allowing educators to share ideas, compare practices, and build a statewide network committed to thoughtful, ethical, and educationally meaningful use of GenAI in teaching and learning.

All sessions in the virtual track will be presented online through Zoom and/or other platforms. The keynote will be livestreamed. If you're interested in attending the Virginia AI Symposium, learn more about the in-person track.

Schedule Overview

> 10:00-10:40 a.m. | Welcome & Keynote

Keynote Presentation by Mona Sloane, Assistant Professor of Data Science and Media Studies, University of Virginia

> 10:40-10:50 a.m. | Break

> 10:50-11:50 a.m. | Virtual Session I

Details to come on this interactive online session.

> 12:00-12:45 p.m. | Break

> 1:00-2:00 p.m. | Virtual Session II

Details to come on this interactive online session.

> 2:00-2:15 p.m. | Break

> 2:15-3:00 p.m. | Student Panel

Hear from students on their experiences with AI.

This event is organized by UVA Center for Teaching Excellence, UVA McIntire School of Commerce, GMU Stearns Center for Teaching and Learning, and JMU Center for Faculty Innovation, with support from the State Council of Higher Education for Virginia (SCHEV).