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Session Type: Roundtable Session
This session investigates how emerging technologies and artificial intelligence are reshaping learning, assessment, and independence for students with disabilities. Presenters review technology-assisted supports for autistic individuals, explore AI-enabled instructional design, and analyze the cognitive and behavioral dimensions of digital learning environments. These studies highlight both the promise and complexity of integrating technology to enhance accessibility, foster independence, and personalize education for diverse learners.
Preliminary Teaching Manual for Classroom IEP Support: An AI-assisted, Collaborative Delphi Inquiry - Laurie Faith, University of Toronto - OISE; Qiyuan Zheng, University of Toronto - OISE; Lisa VanderKuip, University of Toronto - OISE; Nadine Masengi, Edvance; Samantha Price, Edvance; Rebecca Dam, Edvance
Optimizing Embedded Assessment in (*Masked) Gaming Intervention: Thresholds and Patterns of Response Time and Accuracy - Sam Choo, University of Minnesota; Jechun An, University of Minnesota; Nancy J. Nelson, Boston University; Derek Kosty, Oregon Research Institute
Cognitive Offloading in the Age of Generative AI: What Does It Mean for Students with Learning Disabilities? - Yerin Seung, University of Kansas; James D. Basham, University of Kansas