Study on the influence and mechanism of pre-training on medical undergraduates' online teaching effect

doi:10.3760/cma.j.cn115259-20220908-01131

Abstract

Abstract: Objective To explore the influence and mechanism of pre-training on the teaching effect of online teaching so as to provide a reference for further improvement of the online teaching. Methods According to the relevant research and the opinions of teachers participating in online teaching in Soochow Medical College of Soochow University, pre-training content and the questionnaire of influencing factors of online teaching were independently designed. From March to August 2020, 943 medical undergraduates in Soochow University were trained and investigated. The data were analyzed by descriptive analysis, ANOVA and structural equation model. Results The score of online teaching effect was (3.67±0.83). The scores of influencing factors were self-efficacy (4.01±0.81), outcome expectation (4.99±0.98), self-regulation (3.26±0.86), and environmental support (3.11±0.85),respectively. When students participate in the pre-training of online teaching were T≤2 h, 2<T≤4 h, 4<T≤6 h, 6<T≤8 h, 8<T≤10 h, their online teaching effect were (3.53±0.88), (3.59±0.70), (3.79±0.76), (3.85±0.80) and (3.89±0.91), respectively, and there was statistical difference (P<0.01). The pre-training of online teaching had a positive effect on environmental support (β=0.264, P<0.001). Environmental support had positive effects on teaching effect (β=0.225, P=0.002), self-efficacy, outcome expectation and self-regulation (β=0.691, 0.719, 0.523, respectively; all P<0.001). Self-efficacy, outcome expectation and self-regulation also had a positive impact on the teaching effect (β= 0.092, 0.292, 0.308, respectively; all P<0.05). Conclusions The longer the students participate in the pre-training of online teaching, the higher the evaluation of the online teaching effect. The pre-training of online teaching affects the self-efficacy, outcome expectation and self-regulation of students by affecting the environmental support, and then affects the teaching effect. Schools should pay attention to the pre-training of online teaching, strengthen the support and guidance for students so as to improve online teaching effect.

Key words: Students, medical, Online teaching, Teaching effect, Pre-training of online teaching, Influencing factor, Mechanism

CLC Number:

Zhang Yuwei, Li Mingzhe, Liu Xiao, Zhang Youjie, Sun Hongpeng, Liu Manyu, Ma Yana. Study on the influence and mechanism of pre-training on medical undergraduates' online teaching effect[J]. Chinese Journal of Medical Education, 2023, 43(9): 707-711.

References

[1] Abdelbagi O. Rewords and struggle of online teaching of pathology during the COVID-19 pandemic: middle east medical students' judgment[J]. Cureus, 2023,15(1):e33377. DOI: 10.7759/cureus.33377.
[2] 邬大光, 李文. 我国高校大规模线上教学的阶段性特征——基于对学生、教师、教务人员问卷调查的实证研究[J].华东师范大学学报(教育科学版),2020,38(7):1-30. DOI:10.16382/j.cnki.1000-5560.2020.07.001.
[3] Richardson M, Abraham C, Bond R. Psychological correlates of university students' academic performance: a systematic review and meta-analysis[J]. Psychol Bull, 2012,138(2):353-387. DOI: 10.1037/a0026838.
[4] 王飞跃, 潘朝路, 邵爽, 等. 教师视角下全科医学课程线上教学效果及影响因素研究[J].医学教育管理,2022,8(4):467-472. DOI: 10.3969/j.issn.2096-045X.2022.04.018.
[5] 赵兴, 宋永喜, 陈晓婉, 等. 新冠疫情期间线上教学背景下医学生自我调节学习能力与学业成就的关系研究[J].中国高等医学教育,2023(3):30-33. DOI: 10.3969/j.issn.1002-1701.2023.03.012.
[6] 兰国帅, 钟秋菊, 郭倩, 等. 自我效能,自我调节学习与探究社区模型的关系研究——基于网络学习空间中开展的混合教学实践[J].中国电化教育,2020(12):44-54. DOI: 10.3969/j.issn.1006-9860.2020.12.007.
[7] 杨威, 李萌, 郭淑岩, 等. 公立医院内部管理水平对技术效率的影响研究——基于偏最小二乘结构方程模型方法[J].中国卫生政策研究,2019,12(12):48-54. DOI: 10.3969/j.issn.1674-2982.2019.12.009.
[8] 赖颖斯,杜志成,陈雯,等.新冠疫情下医学统计学“网络自学+直播”教学方式的应用[J].中国卫生统计, 2022,39(2):299-300,304. DOI: 10.3969/j.issn.1002-3674.2022.02.036.
[9] 常玮, 马玲. 网络教学效果影响因素实证研究——基于社会认知理论及整合性技术接受模型[J].远程教育杂志,2012,30(1):85-91. DOI: 10.3969/j.issn.1672-0008.2012.01.011.
[10] 张华龙. 美国大学转化教学的兴起与启示[J].高等教育研究,2016,37(9):95-100.

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