Chinese HSS students prefer partial or optional GenAI curricular integration supported by practice-oriented training and clear institutional guidelines¶

Claim · All claims
Evidence · 1 study (2 entries) · associational r2 · q2
Currency · newest study 2026 · not yet checked against its sources · not reviewed by a person

Subclaims¶

q2 i? 54.97% preferred partial integration and 27.21% optional embedding, while only 17.16% supported full integration. → Lei Fan and Fangxue Liu 2026 q2 i? In-depth practical courses were the most preferred training format, and most students favored institutional guidelines and strengthened training over prohibition. → Lei Fan and Fangxue Liu 2026 (2)

Evidence¶

Lei Fan and Fangxue Liu 2026¶

Lei Fan and Fangxue Liu. (2026). The impact of generative artificial intelligence on academic development of Chinese students in humanities and social sciences. https://arxiv.org/abs/2606.24104 doi:10.48550/arxiv.2606.24104

q2 · i? · associational · r2

Integration attitudes (Figure 8a): "most respondents preferred partial integration (54.97%)"; 27.21% considered GenAI a useful but optional tool and only 17.16% supported full integration.

"most respondents preferred partial integration (54.97%), favoring selective use in appropriate courses or learning contexts."

Lei Fan and Fangxue Liu 2026 (2)¶

Lei Fan and Fangxue Liu. (2026). The impact of generative artificial intelligence on academic development of Chinese students in humanities and social sciences. https://arxiv.org/abs/2606.24104

q2 · i? · associational · r2

Training preferences (Figure 8c) indicate "a clear demand for practice-oriented guidance rather than theoretical instruction"; on governance, 68.09% favored clear usage guidelines and 22.51% supported a complete ban.

"in-depth practical courses were most strongly preferred (71.04%), followed by basic introductory courses (61.86%) and online formats (47.76%), while lecture -based approaches were viewed less favorably."

Discussion¶

Related Claims¶

• Regional context moderates GenAI effects: positive in China and Pakistan, negative in Korea and Turkey — related
• Students most often urge institutions to teach responsible AI use (N=41) and provide clear rules and guidelines (N=27) — related
• Non-users cite lack of training, distrust of responses, preference for teaching staff, academic-integrity fear and lack of interest as reasons for not using chatbots — related
• The field's foundational literature called for curricular integration, yet its most-cited contributions concentrated on capability benchmarking such as ChatGPT's USMLE performance — related
• A majority of faculty believe student evaluation methods require significant change, and preferences tilt toward disclosure-based permission regimes over bans — related