新医科视域下医学本科生人工智能素养能力现状及提升策略研究

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中图分类号:G642.0 文献标志码:A 文章编号:2096-3181(2026)01-0020-06
Research on the Current Status and Enhancement Strategies of Artificial Intelligence Literacy among Medical Undergraduates from the Perspective ofNew Medicine
DAI Jing1,CHEN Zhencheng²,CHEN Suyi³,WEI Bing
1. College of International Education,Guilin Medical University, Guilin ,China; 2. College of Artificial Inteligence Medicine,Guilin Medical University,Guilin ,China; 3. Office of Academic Affairs,Guilin Medical University,Guilin 541l99, China
Abstract: Objective To investigate the current status of artificial intellgence (AI) literacy among medical undergraduates,analyze the influencing factors,and propose cultivation strategies.Methods A questionnaire survey was administered to medical undergraduates,with collected data analyzed statistically using SPSS 26.0. Results 263 valid questionnaires were retumed. Students'overall AI literacy was at a moderate to high level (mean 1=3.9] 16),but with significant variation (SD =0.564 ) and imbalanced development across dimensions.AwarenessofAI-related risks (mean 1=3.728 )wasweakerthanpositiveattitudestoward AI (mean ∘leddash 4.033).In terms of the influencing factors,no significant diffrences was detected in gender,grade,or major. The key enhancers were proactive learning of AI knowledge ( P=0.008 )and higher familiaritywith AI technology ( P=0.001 ). As for negative correlation, frequent AI tool users exhibited lower literacy (Spearman ρ=-0.352 , P<0.001 ),potentially due to tool dependency inhibiting deep learning. In terms of demand analysis, 74% of students supported establishing AI courses,and 83.65% requested foundational and advanced courses. Lower-grade students showed higher demand,while 65% reported anxiety due to poor mathematical foundation. Students’top learning interests lay in AI-medicine collaboration (43.73% ) and medical AI case studies (28.9% ). Conclusion Medical undergraduates demonstrate solid AI literacy foundations and strong wilingnessto adopt AI, yet lack risk awareness. A systematic approach is essential to enhancecomprehensive literacy in“technology application-risk cognition-innovative practice” through tiered curriculum design,university-industry collaboration,faculty development,and AI ethics education.
Keywords: New Medicine; Medical undergraduates; Artificial inteligence literacy; Enhancement Strategies
2019年4月,由教育部启动的“六卓越一拔尖"计划2.0正式提出,对全面建设新工科、新医科、新农科、新文科作出了战略部署。(剩余7619字)