Journal of Shandong University (Health Sciences) ›› 2021, Vol. 59 ›› Issue (7): 119-124.doi: 10.6040/j.issn.1671-7554.0.2021.0216

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Comprehensive teaching reform and exploration of Medical Statistics under the guidance of “student-centered” concept

LIU Jing, YUAN Zhongshang, LI Xiujun, SUN Xiubin, MA Xufei, ZHAO Xiulan   

  1. School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan 250012, Shandong, China
  • Published:2021-07-16

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Abstract: Objective To carry out comprehensive teaching reform and practice in view of the widespread anxiety and negative attitudes among medical students in studying Medical Statistics in order to improve the teaching effects of this course. Methods Teachers enhanced their level of educational theories. Adhering to moral education value orientation and based on “student-centered” idea and the cognitive law of “practice-theory-practice”, the team carried out empirical research on students psychological problems in learning, helped students overcome learning barriers, modulated teaching practice with the research results, and then conducted out a comprehensive teaching reform of “idea promotion, reform practice and effect evaluation” on the course of Medical Statistics. Results Teachers theoretical level and teaching skills were improved, and students interests in learning and innovation were enhanced. Students attitudes towards this course became positive, their anxiety was alleviated, and their course performance was significantly improved. As a result, the teaching objectives were effectively achieved. Conclusion This reform is a successful attempt to implement the “student-centered” concept into teaching practice, which provides valuable experience and a new direction for the teaching reform of Medical Statistics.

Key words: Medical Statistics, Statistics anxiety, Teaching reform, Student-centered, Blended learning

CLC Number: 

  • G642
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[1] LIU Yumei, YUAN Zhongshang, SUN Xiubin, LI Xiujun, WANG Shukang, LIU Jing. Survey of medical students attitudes toward statistics and analysis of influencing factors [J]. Journal of Shandong University (Health Sciences), 2020, 58(11): 109-114.
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