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Algorithms of Power: AI, Policy, and the Future of Education
Thu, April 9, 9:45 to 11:15am PDT (9:45 to 11:15am PDT), JW Marriott Los Angeles L.A. LIVE, Floor: Gold Level, Gold 1Session Type: Roundtable Session
Abstract
This roundtable interrogates the politics of AI in education across global and local contexts. Papers analyze fragmented GenAI integration in teacher preparation programs, historical “technosocial scotomas” in data initiatives, and teachers’ bottom-up strategies in policy vacuums. Studies of Chinese schools reveal equity gaps and resistance reshaped into innovation, while U.S. policy network analysis uncovers industry influence and ethical tensions.
Sub Unit
Papers
Are Teacher Preparation Programs in Higher Education Ready for the AI Era? A Comparative Analysis of AI Policies for Teachers and Learners in China, the U.S., and Norway - Jialin Yan, University of Rochester; Nicole King, University of Rhode Island; Anne Øgreid, oslo metropolitan university; Harald Eriksen, oslo metropolitan university
Bridging the AI Equity Gap: Unfunded Mandates and Teacher Resistance - Ban Wang, HONG KONG UNIVERSITY; Paul Campbell, The University of Hong Kong
Initial Moves: Teachers Navigating AI Integration in a Policy Vacuum - Anderson Neal de Andrade, Rutgers University
Unencumbered Innovation? Industry Influence and Ethical Tensions in GenAI Policy in a Midwestern State - Ali Raza, Grand Valley State University; Stefanie L. Marshall, Michigan State University
Unforgetting Policy Failures: Technosocial Scotomas in Historical and Contemporary Data Initiatives - Edward Dieterle, Education Research Partners, LLC