Anatomy education during COVID-19 era: Evaluation of an anatomy blended course for medical students

新冠疫情时代下的解剖学教育:对医学生解剖学混合式课程的评估

阅读:1

Abstract

BACKGROUND: The COVID-19 pandemic has prompted a need to change traditional teaching methods. This study was conducted to evaluate the educational quality of a blended anatomy course and measure student satisfaction and knowledge after completing the course. MATERIALS AND METHODS: Tyler's model was used to develop a new blended curriculum. The study guide for this curriculum was also developed using Association for Medical Education in Europe guide no. 16. A quasi-experimental study compared educational quality, students' satisfaction, and students' satisfaction using Students' Evaluations of Educational Quality (SEEQ), Borim Nejad's satisfaction survey, and multiple choice questions, respectively. Independent t-tests and Chi-square were used to compare the groups. RESULTS: A total of 122 students participated in this study, 62 and 60 in the intervention and control groups, respectively. The satisfaction score was significantly higher in the intervention group than in the control group (40.6 versus 38.6, P value = 0.03). The score of SEEQ was not significantly different (91.9 versus 91.08, P value = 0.52), but the subscales of learning (17.23 versus 16.32, P = 0.01), group interaction (16.87 versus 18.1, P = 0.01), and breadth (17.73 versus 16.65, P = 0.02) were significant. The knowledge score was also significantly higher in the intervention group than in the control group (18.13 versus 16.68, P value < 0.001). CONCLUSION: Using blended learning approaches for anatomy courses can increase students' satisfaction, improve the learning and breadth of educational quality subscales, but worsen group interaction. Although this study shows improvement in medical students' knowledge, further studies are needed because of the limitations of this study.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。