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Conrad Borchers; Jeroen Ooge; Cindy Peng; Vincent Aleven – Grantee Submission, 2025
Personalized problem selection enhances student practice in tutoring systems. Prior research has focused on transparent problem selection that supports learner control but rarely engages learners in selecting practice materials. We explored how different levels of control (i.e., full AI control, shared control, and full learner control), combined…
Descriptors: Intelligent Tutoring Systems, Artificial Intelligence, Learner Controlled Instruction, Learning Analytics
Leanne Tamm; Sydney M. Risley; Elizabeth Hamik; Angela Combs; Lauren B. Jones; Jamie Patronick; Tat Shing Yeung; Allison K. Zoromski; Amie Duncan – Grantee Submission, 2022
Background: Academic challenges such as losing/not turning in assignments, misplacing materials, and inefficient studying are common in middle-school students with autism spectrum disorder (ASD) without intellectual disability. Deficits in organization, planning, prioritizing, memory/materials management, and studying skills [i.e. academic…
Descriptors: Academic Achievement, Intervention, Executive Function, Autism