Author

Marco Ho

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Sep 2026

Multi-Agent Artificial Intelligence Model to Enhance Self-Regulated Learning and Conceptual Understanding in Computer Science Education

Findings showed that students utilized the TA-AI as a strategic safety net, and a “sweet spot” in quiz difficulty was identified where the TA-AI is most effective in activating metacognitive prompting.

Jing Huang, Seong Min Park, M. P. Lin et al. · CoED · 0 citations

Review Open access Jul 2026

Designing for Self-Regulated Learning in AI-Assisted Quizzing: A Classroom Pilot Study

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