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AI facilitated feedback to support learning
Thu, April 9, 7:45 to 9:15am PDT (7:45 to 9:15am PDT), Westin Bonaventure, Floor: Lobby Level, Los FelizSession Type: Paper Session
Abstract
This session focusses on how AI facilitated feedback supports student learning
Sub Unit
Chair
Papers
Designing AI-Facilitated Feedback Using Feedback Triangle Theory - Jingwen He, University of North Texas; Kui Xie, University of Missouri
Exploring the Relationship Between Individual Cultural Values and Feedback Literacy Behaviors: A Cross-Country Study - Mustafa TEPGEÇ, Mustafa Kemal University; Larisa A. Olesova, University of Florida; Joana Heil, University of Mannheim; Heather Rene Woodward, University of Florida; Dirk Ifenthaler, University of Mannheim; Gloria Kim, University of Florida; Kim Copeland, University of Florida
Feeling and Thinking While Reading: Personalized Emotional Feedback via Automated Facial Recognition Tool - Yu-San Hsiang, National Yang Ming Chiao Tung University; San Ju Lin, National Yang Ming Chiao Tung University
Learning Progression-Guided AI Evaluation to Support Feedback on Multimodal Scientific Modeling Tasks - Leonora Kaldaras, Texas Tech University; Clare Carlson, Michigan State University; Wenxiu Tang, Michigan State University; Tingting Li, Washington State University; Prudence Djagba, Michigan State University; Joseph S. Krajcik, Michigan State University; Kevin Haudek, Michigan State University
Enabling Student Feedback Literacy through GenAI Feedback: A Self-regulated Learning Perspective - Jiahe Gu, The Education University of Hong Kong; Zi Yan, The Education University of Hong Kong