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
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
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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