中华医学教育杂志 ›› 2025, Vol. 45 ›› Issue (6): 419-422.DOI: 10.3760/cma.j.cn115259-20241118-01191

• 教育技术 • 上一篇    下一篇

基于质性分析的医学生数字韧性影响因素探究

甘雨甜, 杨晓静, 田轶男, 秦夏夏, 张艺林, 张淑娥, 曹德品, 杨立斌   

  1. 哈尔滨医科大学卫生管理学院医学教育管理教研室,哈尔滨 150081
  • 收稿日期:2024-11-18 出版日期:2025-06-01 发布日期:2025-06-03
  • 通讯作者: 杨立斌, Email: yanglib@126.com

Research on influencing factors of medical students′ digital resilience based on qualitative analysis

Gan Yutian, Yang Xiaojing, Tian Yinan, Qin Xiaxia, Zhang Yilin, Zhang Shue, Cao Depin, Yang Libin   

  1. Department of Medical Education Management, School of Health Management, Harbin Medical University, Harbin 150081, China
  • Received:2024-11-18 Online:2025-06-01 Published:2025-06-03
  • Contact: Yang Libin, Email: yanglib@126.com

摘要: 目的 了解医学生数字韧性的影响因素,为医学院校加强数字韧性教育提供依据。方法 2024年6至8月,对东北地区某医学院校15名医学生进行半结构访谈,应用柯莱兹资料分析法分析访谈资料。结果 提炼出3个主题10个亚主题:心智特质(批判性思维等);社会支持系统(同伴支持等);网络生态要素(网络安全政策等)。结论 医学生的数字韧性受到多重因素共同影响,医学院校应优化数智赋能医学教育,培养医学生形成积极的心智特质;教师、家长和社会需协同发力,共建数字韧性教育系统,引导学生正确看待数字挑战,促进学生成长。

关键词: 学生,医科, 数字韧性, 质性分析, 韧性教育

Abstract: Objective To understand the influencing factors of digital resilience among medical students and provide basis for strengthening digital resilience education in medical schools. Methods From June to August 2024, semi-structured interviews were conducted with 15 medical students from a medical school in Northeast China, and the Colaizzi analysis method was applied to analyze the interview data. Results Three themes and ten sub-themes were extracted: mental faculties (critical thinking, etc.); social support system (peer support, etc.); elements of the network ecology (cybersecurity policies, etc.). Conclusions Digital resilience of medical students is influenced by multiple factors. Medical schools should optimize digital intelligence in medical education and cultivate positive mental faculties among medical students; teachers, parents, and society need to make a joint effort to build a digital resilience education system, guide students to view digital challenges correctly, and promote the growth of medical students.

Key words: Students, medical, Digital resilience, Qualitative analysis, Resilience education

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