An exploration on the blended teaching for medical statistics in general practice graduate students
10.3760/cma.j.issn.2095-1485.2019.06.007
- VernacularTitle:全科医学研究生医学统计学混合式教学探索
- Author:
Songwen WU
1
;
Mingjuan SHI
;
Jing LEI
;
Xuan ZHANG
Author Information
1. 西安医学院公共卫生学院 710021
- Keywords:
Blended teaching;
Medical statistics;
Graduate students
- From:
Chinese Journal of Medical Education Research
2019;18(6):568-571
- CountryChina
- Language:Chinese
-
Abstract:
Objective To investigate a suitable model for the teaching of medical statistics in postgraduates in general medicine. Methods A total of 225 postgraduates who majored in general medicine in the class of 2017 in Xi'an Medical College were enrolled and randomly divided into study group with 130 postgraduates and control group with 95 postgraduates. The postgraduates in the study group received blending learning (with the application of Wenjuanxing and Duifenyi), and those in the control group received traditional teaching. The two groups were compared in terms of teaching efficiency and degree of satisfaction. Results Compared with the control group, the study group had significantly higher score of objective questions (t=11.2, P<0.01), score of SPSS analysis (t=5.44, P<0.01), total score of exams (t=26.3, P<0.01), and degree of satisfaction (Z=-3.853, P<0.01). Conclusion Blending learning may have a better overall effect than traditional teaching and can help students to achieve stronger abilities of data analysis and SPSS operation. This is an important attempt to change the teaching mode of medical statistics in postgraduates and provides a feasible method for the training of general medical talents with innovative and scientific thinking.
