中华医学教育杂志 ›› 2024, Vol. 44 ›› Issue (1): 1-5.DOI: 10.3760/cma.j.cn115259-20230206-00101

• 医学教育管理 •    下一篇

调控本科临床医学专业招生规模的院校教育资源指标体系构建

徐杭1, 侯建林2, 王维民3   

  1. 1北京大学公共卫生学院卫生政策与管理学系,北京 100191;
    2北京大学医学教育研究所 全国医学教育发展中心,北京 100191;
    3北京大学医学部,北京 100191
  • 收稿日期:2023-02-06 出版日期:2024-01-01 发布日期:2023-12-29
  • 通讯作者: 王维民, Email: wwm@bjmu.edu.cn
  • 基金资助:
    国家社科基金重点项目(AIA210011)

Construction of an indicator system of educational resources for colleges and universities to regulate enrollment scale of undergraduates in clinical medicine

Xu Hang1, Hou Jianlin2, Wang Weimin3   

  1. 1Department of Health Policy and Managemen, School of Public Health, Peking University, Beijing 100191, China;
    2National Center for Health Professions Education Development & Instituet of Medical Education, Peking University, Beijing 100191, China;
    3Peking University Health Science Center, Peking University, Beijing 100191, China
  • Received:2023-02-06 Online:2024-01-01 Published:2023-12-29
  • Contact: Wang Weimin, Email: wwm@bjmu.edu.cn
  • Supported by:
    Key Project of National Social Science Foundation of Education (AIA210011)

摘要: 目的 构建调控本科临床医学专业招生规模的院校教育资源指标体系。方法 基于教育生产理论,初步构建指标池并以此为基础设计本科临床医学专业招生规模的院校教育资源专家咨询问卷,采用模糊德尔菲法与最优赋权法构建指标体系。结果 对来自9个省、自治区和直辖市共20位具有丰富专业理论知识或实践经验的专家进行2轮咨询,确定了由3个一级指标、8个二级指标和14个三级指标构成的指标体系。2轮专家咨询问卷的克朗巴赫系数分别为0.95和0.89,专家权威系数分别为0.82和0.87。结论 指标体系较为科学与系统地反映了确定本科临床医学专业招生规模需要考虑的教育资源,明确了不同院校教育资源对招生规模的影响程度,为医学院校根据自身教育资源合理确定招生规模提供了依据。

关键词: 临床医学, 招生规模, 教育资源, 模糊德尔菲法, 最优赋权法, 指标体系, 权重

Abstract: Objective To establish an educational resource indicator system to regulate the enrollment scale of undergraduates in clinical medicine for colleges and universities. Methods Based on the theoretical indicator pool of educational production, a questionnaire for expert consultation on educational resources in undergraduate clinical medical education was designed. Finally, based on the fuzzy Delphi method and the optimal weighting method, the indicator system was constructed. Results Through two rounds of expert consultation with a total of 20 experts from 9 provinces and cities with rich professional theoretical knowledge or practical experience, an indicator system consisting of 3 first level indicators, 8 second level indicators, and 14 third level indicators were determined. The Cronbach coefficients of the two rounds of expert consultation questionnaires were 0.95 and 0.89, respectively, and the expert authority coefficients were 0.82 and 0.87, respectively. Conclusions The indicator system scientifically and systematically reflects the educational resources that need to be considered in determining the enrollment scale of undergraduates in clinical medicine, clarifies the impact of educational resources from different universities on the enrollment scale, and provides a basis for medical colleges to reasonably determine the enrollment scale based on their own educational resources.

Key words: Clinical medicine, Enrollment scale, Educational resources, Fuzzy Delphi method, Optimal weighting method, Indicator system, Weight

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