Generative AI: News

AI Symposium Agenda and Keynote Zoom Link

2025 AI Symposium

October 10th from 8:30am - 3:00pm at Metro Campus. Check-in will begin at 8:00am. Presentations will begin promptly at 8:30am.

We are pleased to invite faculty, staff, and students at Tulsa Community College to attend our second annual AI Symposium, an event dedicated to exploring a wide array of topics related to Artificial Intelligence (AI) in education. TCC staff and faculty have prepared engaging presentations to share their insights and experiences with AI that are sure to help us all better understand the pros and cons of this technology. We will also be featuring a keynote presentation from Trey Conatser, the Director of the Center for the Enhancement of Learning and Teaching (CELT) at the University of Kentucky. His talk will focus on exploring what “durable learning” looks like in the age of AI. 

Symposium Agenda

Symposium Keynote zoom link: https://us02web.zoom.us/j/84480098938

• Scheduled for 8:30am, Friday October 10^th 

• Speaker: Dr. Trey Conatser, Assistant Provost for Teaching and Learning and the Director of the Center for the Enhancement of Learning and Teaching (CELT) at the University of Kentucky.

• Abstract: Research and experiences with generative AI thus far have led educators to reflect on the importance of distinguishing short-term performance gains from the more transformative effects of "durable learning," the habits of mind and educational practices that promote "deep engagement, transfer of knowledge and durable skill development" (Yan, et al. 2025). The ubiquity of AI tools therefore calls on educators to surface the nature and process of durable learning in ways that are both unique and common across the disciplines. The goal of this keynote is (1) to describe what durable learning looks like when AI tools are embedded across our digital interfaces, (2) to review concrete, adaptable examples of durable learning in action as students are guided to engage with AI, and (3) to center the joy of teaching and learning as a critical aspect of our AI-engaged future.