This study explores the integration of a multi-agent AI system designed to support self-regulated learning (SRL) in computer science education. Building on preliminary work that introduced a Teaching Assistant AI (TA-AI) for real-time scaffolding, an Analytics-AI for pattern recognition, and an AI-Improver for iterativ...
Jing Huang, Seong Min Park, M. P. Lin et al.· CoED· 0 citations
A classroom-deployed quiz system that combines integrity-preserving hinting (TA-AI), trace summarization (Analytics-AI), and feedback-driven refinement (AI-Improver) to generate instructor diagnostics from routine interaction logs is presented.
M. P. Lin, Daniel H. Chang, V. Janarthanan et al.· International Journal of Eme...· 0 citations
Examining undergraduate students’ AI disclosure practices suggests that institutional AI disclosure frameworks may benefit from addressing both policy compliance and the affective and disciplinary dimensions of students’ SRL decision-making.
Daniel H. Chang, M. Lin, Jing Huang et al.· Frontiers in Education· 0 citations
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