Cheng Wenwen, Zhu Liang. Current status of national virtual simulation experimental teaching courses in medical education and influencing factors[J]. Chinese journal of medical education research, 2025, 24(7): 885-890.
Cheng Wenwen, Zhu Liang. Current status of national virtual simulation experimental teaching courses in medical education and influencing factors[J]. Chinese journal of medical education research, 2025, 24(7): 885-890. DOI: 10.3760/cma.j.cn116021-20250131-02086.
Current status of national virtual simulation experimental teaching courses in medical education and influencing factors
以截至2025年1月25日国家虚拟仿真实验教学平台“实验空间”中的全量医学课程为研究对象,通过Python采集课程上线年份、学科、实验类型、访问性能等数据,并进行描述性分析。使用STATA 17软件进行逐步普通最小二乘法(ordinary least square,OLS)回归分析,以探究实验人数与通过率的影响因素。
To analyze the current status and influencing factors of national virtual simulation experimental teaching courses in medical education
and to provide a basis for optimizing resource allocation and improving the quality of education.
Methods
2
All the medical courses on the national virtual simulation experimental teaching platform "Experimental Space" as of January 15
2025 were included in the study. Python was used to collect data such as the year of course launch
discipline
experimental type
and access performance. Moreover
a descriptive analysis was carried out. STATA 17 was used for stepwise ordinary least square (OLS) regression to explore the influencing factors of the number of experimental participants and the pass rate.
Results
2
The mean number of experimental participants for 659 courses was 1 020.91
and the mean pass rate was 51.71%. The results of stepwise OLS regression analysis showed that access response time
year of course launch
major
and experimental type were influencing factors of the number of experimental participants
while the first three were influencing factors for the experiment pass rate
with significant differences (
P
<
0.05).
Conclusions
2
The national virtual simulation experimental teaching platform should streamline management
adopt normalized and innovative mechanisms to optimize technical performance
enhance discipline structure for balanced resource allocation
and implement dynamic evaluation to prioritize quality sharing
thus shifting the digital transformation of medical education from scale expansion to quality sharing.
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Related Institution
Department of Reproductive Medicine, The First Affiliated Hospital of Nanjing Medical University
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Administrative Office, Chongqing Medical University