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Author

Daniel H. Chang

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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. · 0 citations
Review Open access Aug 2026

“Should I tell my teacher?” Student AI disclosure practices, stigma, and self-regulated learning in higher education

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. · 0 citations

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