Faculty Panel on Generative AI in Education
Join the Center for Teaching and Learning (CTL) for a faculty panel on the impact of generative AI on teaching and learning in higher education. Faculty members from various disciplines will address a range of topics including incorporating generative AI into courses, preparing students for generative AI in the workplace, and the use of generative AI to help accelerate and improve the teaching process.
Panelists:
- Neil Hair (moderator), Center for Teaching and Learning, and Saunders College of Business
- Liz Lawley, Golisano College of Computing and Information Sciences
- Juan Noguera, College of Arts and Design
- Esa Rantanen, College of Liberal Arts
- Jennifer Schneider, Eugene Fram Chair, and College of Engineering Technology
- Phil Shaw, University Writing Program
In order to make the best use of our time during this session, we encourage you to review AI-Generated Content - Implications for Teaching and Learning. Please come with your questions for the panel.
This session is intended for RIT faculty, including adjuncts and teaching assistants. Interpreting Services will be provided. If you need alternative support services, please email ctl@rit.edu to let us know what you need, and we will do our best to accommodate. This session will be recorded.
Event Snapshot
When and Where
Who
This is an RIT Only Event
Interpreter Requested?
Yes