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Session Type: Poster Session
This session delves into the sophisticated computational methods that power next-generation educational technologies. Moving beyond simple tool integration, these papers explore the core mechanics of how digital learning environments—from AI-driven simulations to educational games—can model, measure, and support complex human behaviors in both teaching and learning.
Cognitive Diagnostic Modeling from Open Educational Game Data: A Cross-Domain Analysis in Science Learning - Jewoong Moon, University of Alabama
Characteristics of generated immediate feedback of teachers' improvisational decisions within agentic simulations to support mathematics instruction - Erin Barno, ETS
Assessing the Validity of Instructional Quality Ratings in a Virtual Reality-Based Teaching Simulation - Nico Klausner-Thimm, University of Potsdam; Yizhen Huang, University of Potsdam; Eric Richter, KU Eichstätt-Ingolstadt; Dirk Richter, University of Potsdam
Bridging and Reconstructing: Designing a Programming AI Agent to Optimize Learners’ Experience and Develop Programming Self-Concept - Haoming Wang, East China Normal University; Chengliang Wang, Australian Catholic University; Jinhua Shao, Anhui University of Science & Technology; Xianru Shang, Shaanxi University of Science and Technology; Teng Yu, Guangdong Polytechnic Normal University; Yupeng Lin, Tsinghua University
Entropy-Based Analysis of Teacher Adaptability in Generative AI Agents in 3D Teacher Simulations - Jewoong Moon, University of Alabama; Jieun Lim, Daegu National University of Education; Yunseo Lee, University of Wisconsin - Madison; Gyuri Byun, Seoul National University; Yeil Jeong, Seoul National University; Unggi Lee, Korea University