Author

M. P. Lin

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Review Open access Oct 2026

Mapping generative AI in higher education teaching and learning: a scoping review

Generative artificial intelligence (GenAI) has rapidly entered higher education, but empirical research on its roles in teaching and learning remains fragmented across instructional activities, outcomes, assessment approaches, and stakeholder perspectives. This scoping review followed PRISMA-ScR guidelines to map 394 e...

M. P. Lin, Daniel H. Chang, Philip H. Winne et al. · International Journal of Edu... · 0 citations

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