中华医学教育杂志

中华医学教育杂志 >

2020 , Vol. 40 >Issue 10: 774 - 779

DOI: https://doi.org/10.3760/cma.j.cn115259-20190516-00380

教学方法

医学生自主学习能力水平列线图模型的构建

  • 黄润之 ,
  • 张国洋 ,
  • 杨军 ,
  • 吴静 ,
  • 刘瑞麟 ,
  • 胡鹏 ,
  • 曾盈 ,
  • 魏春岚 ,
  • 沈慧霞 ,
  • 程黎明 ,
  • 杨文卓
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  • 1同济大学医学院外科学专业2018级博士研究生,上海 200092;
    2上海交通大学高等教育研究院高等教育学专业2017级硕士研究生 200240;
    3同济大学医学院实训中心,上海 200070;
    4郑州大学第一附属医院宣传处 450052;
    5同济大学附属同济医院呼吸科,上海 200065;
    6郑州大学第一附属医院骨科 450052;
    7同济大学医学院,上海 200092;
    8同济大学医学院考试中心,上海 200092;
    9同济大学医学院外事办公室,上海 200092;
    10同济大学附属同济医院,上海 200065
黄润之和张国洋对本文有同等贡献

收稿日期: 2019-05-16

  网络出版日期: 2020-12-08

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Establishment of nomograms models predicting self-regulated learning levels of medical undergraduates

  • Huang Runzhi ,
  • Zhang Guoyang ,
  • Yang Jun ,
  • Wu Jing ,
  • Liu Ruilin ,
  • Hu Peng ,
  • Zeng Ying ,
  • Wei Chunlan ,
  • Shen Huixia ,
  • Cheng Liming ,
  • Yang Wenzhuo
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  • 1Doctor Degree Candidate, Surgery Major, Enrolled in 2018, Tongji University School of Medicine, Shanghai 200092, China;
    2Master Degree Candidate, Higher Education Major, Enrolled in 2017, Graduate School of Education, Shanghai Jiao Tong University, Shanghai 200240, China;
    3Practical Training Center, Tongji University School of Medicine, Shanghai 200070, China;
    4Department of Propaganda, the First Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, China;
    5Department of Respiratory, Tongji Hospital, Tongji University School of Medicine, Shanghai 200065, China;
    6Department of Orthopedics, the First Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, China;
    7Tongji University School of Medicine, Shanghai 200092, China;
    8Medical Examination Center, Tongji University School of Medicine, Shanghai 200092, China;
    9Foreign Affairs Office, Tongji University School of Medicine, Shanghai 200092, China;
    10Tongji University School of Medicine, Shanghai 200065
Huang Runzhi and Zhang Guoyang are contributed equally to the article

Received date: 2019-05-16

  Online published: 2020-12-08

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摘要

目的 构建能够预测医学生自主学习能力水平的列线图模型。方法 2018-2019学年采用大学生自主学习量表调查3所医学院的1 187名学生的自主学习能力相关情况,分析其现状及影响因素,基于多因素回归模型构建医学生自主学习水平的预测模型。结果 3所学校医学生的自主学习能力总平均分为401.03分。多因素回归模型显示:平均绩点、教学模式、主要抚养者、每周学习时间、对医学的兴趣、成长所在地、同伴影响、学校学习氛围影响了医学生自主学习能力。医学生自主学习水平的列线图的模型一致性指数为0.746。结论 列线图模型可以准确地预测医学本科生自主学习能力。

关键词： 医学生; 自主学习能力; 列线图

本文引用格式

黄润之 , 张国洋 , 杨军 , 吴静 , 刘瑞麟 , 胡鹏 , 曾盈 , 魏春岚 , 沈慧霞 , 程黎明 , 杨文卓 . 医学生自主学习能力水平列线图模型的构建[J]. 中华医学教育杂志, 2020 , 40(10) : 774 -779 . DOI: 10.3760/cma.j.cn115259-20190516-00380

Abstract

Objective To construct nomograms for predicting self-regulated learning levels of Chinese medical undergraduates. Methods In the 2018-2019 academic year, the college students' self-regulated learning scale was used to investigate the self-regulated learning ability of 1 187 students from three medical schools. The multi-factor regression was used to identify the influencing factors of the self-regulated learning ability while the prediction models for predicting self-regulated learning levels of Chinese medical undergraduates were constructed based on the multi-factor regression models. Results The total self-regulated learning score of the medical students in three school was 401.03 on average. The multivariable analysis suggested that GPA, teaching model, primary caregivers, medical study time per week, interest in medicine, peer influences and learning atmosphere were independent indicators for self-regulated learning levels. The C-index of nomograms model is 0.746. Conclusions Nomograms models worked well in predicting the self-regulated learning levels of Chinese medical undergraduates.

Key words： Medical undergraduate; Self-regulated learning; Nomogram

参考文献

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