The prevalence of generative AI models has disrupted faculty capacity to engage deeply with our students in the work of critical thinking, assessing evidence, and demonstrating learning.  The widespread presence of generative AI has forced a re-evaluation of how we assess student learning. 

Centre is addressing these challenges in a two-fold approach.  One approach addresses issues such as how can AI serve as a “cognitive partner in learning” without replacing student thinking.  An equally important approach aims at faculty who are concerned about the future, this approach fosters conversation about adaptation and AI literacy to cultivate confidence and capacity to foster deep learning.  

The Teaching in the AI Context Speaker Series aims to provide faculty with discussion fora to address questions such as:  how do we think about the future with this technology disruption to still teach with confidence and capacity to foster deep learning, a sort of "AI resistant" approach.  

Schedule

(all sessions will occur in Crounse 307 unless otherwise noted)

9/23             AI Resilience  (TBD)

10/26           AI Assignments and evaluation of output: Beau Weston 

11/10 AI Resilience (TBD)

2/23 AI Week (TBD)

3/29 AI+ Controlled use of AI with supervision and with critical analysis:  Weiss Mehrabi

4/29 AI Resilience (TBD)