Chinese Journal of Medical Education ›› 2020, Vol. 40 ›› Issue (10): 774-779.DOI: 10.3760/cma.j.cn115259-20190516-00380

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

Huang Runzhi1, Zhang Guoyang2, Yang Jun3, Wu Jing4, Liu Ruilin5, Hu Peng6, Zeng Ying7, Wei Chunlan8, Shen Huixia9, Cheng Liming10, Yang Wenzhuo7   

  1. 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
  • Received:2019-05-16 Online:2020-10-01 Published:2020-12-08
  • Contact: Yang Wenzhuo, Email: yangwenzhuo2002@163.com, Tel: 0086-21-66111520
  • About author:Huang Runzhi and Zhang Guoyang are contributed equally to the article

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

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