February 26, 2025 - 2:00-3:00 PM
Location: This is an online event. Register to receive the Zoom link and calendar invitation.
Intended Audience: Academic Support Staff, Faculty, Graduate Student Instructors, Instructors
Join this session to hear from researchers at UC Berkeley, UC Davis, and Pearson who have gathered and analyzed data from instructors, undergraduates, and graduate students to explore the stories we tell about generative AI in higher ed. Learn about the concerns and priorities students have about AI in their education and take-aways from instructors grappling with tough questions about AI in the classroom. Join us to explore how data can guide campus decision-making about generative AI policies and learning opportunities.
Presenters:
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Madeline Long Arnold, Institutional Research Analyst, Graduate Division, UC Berkeley
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Audrey A Thomas, Director of Data and Institutional Research, Division of Undergraduate Education, UC Berkeley
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Matthew Stenberg, Institutional Research Analyst, Graduate Division, UC Berkeley
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Matt Steinwachs, Assistant Director for the Center for Educational Effectiveness (CEE), Office of Undergraduate Education, UC Davis
- Dr. Jenna Vest, Associate Research Scientist, Pearson
This session will run for 45 minutes, with an additional 15 minutes reserved for questions.
➡️Register for this event here!⬅️
Registrants will be sent a Zoom link and bCal invite as the workshop date draws near.
***Registration for this session will close one hour before the session***
This event is part of the "Navigating Gen AI: Implications for Teaching and Learning" learning path. Be sure to check out this learning path and explore its other components!
Moderator:
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Kara Ganter is Director of Digital Education at the Graduate Division at UC Berkeley, where she spearheads strategic partnerships and innovations in the delivery of higher education, graduate education and programming within Grad Div, across programs, and across campus units. She also partners with the Division of Undergraduate Education, Research + Teaching + Learning Services (RTL) to innovate Berkeley’s collective practice and pursuit of teaching and research excellence. |