Application of scenario-based interactive learning software to generate virtual reality scenarios in medical statistics teaching
10.3760/cma.j.cn116021-20200313-00514
- VernacularTitle:基于情境的交互学习软件生成虚拟现实情境在医学统计学教学中的应用
- Author:
Si QIN
1
;
Junfang XU
;
Qituo HU
;
Xiaopeng GUO
;
Youfeng GUO
Author Information
1. 湖北民族大学医学部预防医学教研室，恩施 445000
- Keywords:
Scenario-based learning;
Teaching reform;
Medical statistics
- From:
Chinese Journal of Medical Education Research
2021;20(6):659-662
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To explore teaching methods to improve the teaching effect in view of many difficulties in learning medical statistics for clinical medical students.Methods:Taking the clinical medical students of the same grade as the research objects, the students were randomly divided into two groups by cluster sampling in class, i.e. control group and experimental group. The traditional teaching methods and the scenario-based interactive learning software teaching methods were used respectively. The scores of medical statistics courses examinations and the statistical errors in responding to projects of extracurricular research activities were compared between the two groups. SPSS 19.0 was performed for statistical analysis.Results:The results of subject achievements of the students in the experimental group (74.08±11.19) were higher than those in the control group (63.82±10.10) ( t=3.926, P<0.001), especially the comprehensive capabilities of the innovative analysis questions and the multiple-choice questions. The statistical errors of the students in the experimental group was less than those in the control group. There were significant differences between the two groups in the estimation of sample size ( χ2=4.189, P=0.041), statistical design ( χ2=5.558, P=0.018) and data analysis ( χ2=3.971, P=0.046). Conclusion:The results suggest that scenario-based interactive learning software is helpful to improve teaching efficiency, and enhance students' ability to analyze and solve practical problems by using medical statistics knowledge.
