Search
On-Site Program Calendar
Browse By Day
Browse By Time
Browse By Person
Browse By Room
Browse By Unit
Browse By Session Type
Search Tips
Change Preferences / Time Zone
Sign In
Bluesky
Threads
X (Twitter)
YouTube
Session Type: Paper Session
This session tackles the critical issues of governance and ethics in the educational use of AI. The papers discuss the challenges of AI surveillance, the leadership required to confront algorithmic bias, and the process of implementing computational thinking standards meaningfully from the top down.
"Make Sense, Not Sensors": A Case Study of Teacher Professional Sensemaking about AI Surveillance in Education - Xingyuan Gao, East China Normal University
From Mandate to Meaning: School Leadership and the Diffusion of Computational Thinking Standards - Steven Azeka, Teachers College, Columbia University; Ellen B. Meier, Teachers College, Columbia University
Confronting Algorithmic Bias: Equity-Centered Leadership Responses to Generative AI in Higher Education - Pinyi Wang, University of Florida