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Session Type: Roundtable Session
How people and AI co-create learning through feedback, evaluation frameworks, and reflective habits. This session examines concrete practices—co-designed rubrics, multi-agent design aides, and reflective structures—that make AI useful, transparent, and trustworthy in real courses.
Dialogues with the Machine: Human-AI Feedback Loops in Human-Centered Design - Akash Kumar Saini, University of Illinois at Urbana-Champaign; Saadeddine S. Shehab, University of Illinois at Urbana-Champaign; William Cope, University of Illinois at Urbana-Champaign; Mary Kalantzis, University of Illinois at Urbana-Champaign; Duane Searsmith, University of Illinois at Urbana-Champaign; Vania Castro, University of Illinois at Urbana-Champaign; Amber Dewey Schultz, University of Illinois at Urbana-Champaign
How Professional Experience Shapes Reflection in a MOOC on Generative AI and Learning Experience Design - Rebecca M. Quintana, University of Michigan; Chris Quintana, University of Michigan; Yuanru Tan, University of Wisconsin - Madison; Joy Hong, University of Wisconsin - Madison
Knowledge, Critique, and Practice: A Conceptual Model for Understanding and Designing Pre-Service Teachers’ AI Training - Mazid Ul Hasan, University of Cincinnati