口腔医学研究生人工智能技术相关心理健康现状及对策研究
Research on the Current Situation and Countermeasures of Artificial Intelligence Technology-Related Mental Health among Postgraduate Students in Stomatology
DOI: 10.12677/sa.2026.157144, PDF,    科研立项经费支持
作者: 李 霞, 李书饴, 曾 飞, 陈铭晟*:重庆医科大学附属口腔医院,重庆
关键词: 人工智能口腔医学研究生心理压力对策Artificial Intelligence Stomatology Postgraduate Students Psychological Stress Countermeasures
摘要: 为明确迅速发展的人工智能(Artificial Intelligence, AI)给口腔医学研究生带来的心理压力现状,为相关教育工作者的心理健康教育与培养管理提供依据,进行本次调查。整群抽取本院379名在读硕士研究生为调查对象,采用自编问卷开展横断面调查,共回收有效问卷368份,有效率97.1%。运用SPSS 19.0进行数据录入与统计分析,问卷Cronbach’s α系数为0.936,信度良好。统计结果显示,受访研究生AI操作以基础应用为主(70.8%),整体处于入门至初级阶段;心理压力水平以无压力(29.35%)和低压力(54.35%)为主,中等压力占16.30%,无高压力感受个体;不同年级压力水平差异具有统计学意义(P < 0.001);学生对院校方提供AI相关心理支持期待不高,遇到问题更倾向通过网络资源与同学寻求帮助。调查表明,当前AI技术尚未对口腔医学研究生构成显著心理负担,该群体整体心理状态平稳、对新技术接纳度较高,但存在的中等压力群体仍需教育者投入关注。建议医学教育者继续完善常态化心理监测机制,可在研究生培养体系中适当增加AI相关内容培训体系与心理疏导,让技术革新为高层次口腔医学人才培养提供强劲动力。
Abstract: To clarify the current status of psychological stress among postgraduate students in stomatology in the era of artificial intelligence (AI), and to provide a basis for mental health education and training management, a total of 379 postgraduate students currently enrolled in the hospital were selected by cluster sampling as research subjects. A self-designed questionnaire was used for a cross-sectional survey. 368 valid questionnaires were recovered, with an effective rate of 97.1%. SPSS 19.0 was adopted for data entry and statistical analysis. The Cronbach’s α coefficient of the questionnaire was 0.936, indicating good reliability. Results showed that most respondents (70.8%) had basic proficiency in AI operation, and their overall competence was at the introductory or primary level. Psychological stress was mainly absent (29.35%) or low (54.35%), while moderate stress accounted for 16.30%, and no severe stress was reported. There were significant differences in stress levels across grades (P < 0.001). Participants had moderate expectations for psychological support related to AI, and tended to seek help from online resources and peers when encountering problems. This study indicates that current AI technology does not impose a significant psychological burden on postgraduate students in stomatology. The overall mental state of this group is stable with high acceptance of new technologies, but the moderate-stress subgroup deserves focused attention. It is recommended that medical educators further improve the normalized psychological monitoring mechanism, appropriately incorporate AI-related training systems and psychological counseling into the graduate training system, so that technological innovation can provide strong momentum for the cultivation of high-level stomatology talents.
文章引用:李霞, 李书饴, 曾飞, 陈铭晟. 口腔医学研究生人工智能技术相关心理健康现状及对策研究[J]. 统计学与应用, 2026, 15(7): 1-7. https://doi.org/10.12677/sa.2026.157144

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