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Jing Huang

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Sep 2026

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

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. · 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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