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Exploring AI-driven learning assistance in Chinese higher education: A multidisciplinary and regional analysis of professional coursework | Synapse
March 3, 2026
Exploring AI-driven learning assistance in Chinese higher education: A multidisciplinary and regional analysis of professional coursework
YS
Yicheng Sun
City University of Hong Kong
HY
Hanbo Yang
HY
Hi Kuen Yu
City University of Hong Kong
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Key Points
AI-driven learning tools enhance professional coursework engagement and understanding, supporting better academic performance.
Key evidence shows a significant increase in student satisfaction with AI tutors, with a 30% rise noted in feedback ratings.
Analysis reveals multidisciplinary approaches across multiple universities, focusing on varying regional educational needs.
Highlights the potential for AI tools to transform traditional teaching methods, while being context-sensitive to local environments.
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Cite This Study
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Sun et al. (Tue,) studied this question.
synapsesocial.com/papers/69a7608bc6e9836116a2d638
https://doi.org/https://doi.org/10.1016/j.iheduc.2026.101075