4.4 Article

Medical Morphology Training Using the Xuexi Tong Platform During the COVID-19 Pandemic: Development and Validation of a Web-Based Teaching Approach

期刊

JMIR MEDICAL INFORMATICS
卷 9, 期 3, 页码 -

出版社

JMIR PUBLICATIONS, INC
DOI: 10.2196/24497

关键词

COVID-19; histology and embryology; pathology; web-based teaching; Xuexi Tong platform

资金

  1. National Natural Science Foundation of China [81401561, 81771711]
  2. General Program of Natural Science Foundation of Shandong Province [ZR2019MH123]
  3. Shandong Provincial Key Laboratory of Animal Biotechnology and Disease Control and Prevention [ABDC-201901]

向作者/读者索取更多资源

During the COVID-19 pandemic, conducting seven-in-one teaching through the Xuexi Tong platform is feasible and well-received. The new web-based teaching mode was highly satisfying to students, who demonstrated good learning performance, indicating the effectiveness of online teaching in medical morphology courses.
Background: Histology and Embryology and Pathology are two important basic medical morphology courses for studying human histological structures under healthy and pathological conditions, respectively. There is a natural succession between the two courses. At the beginning of 2020, the COVID-19 pandemic suddenly swept the world. During this unusual period, to ensure that medical students would understand and master basic medical knowledge and to lay a solid foundation for future medical bridge courses and professional courses, a web-based medical morphology teaching team, mainly including teachers of courses in Histology and Embryology and Pathology, was established. Objective: This study aimed to explore a new teaching mode of Histology and Embryology and Pathology courses during the COVID-19 pandemic and to illustrate its feasibility and acceptability. Methods: From March to July 2020, our team selected clinical medicine undergraduate students who started their studies in 2018 and 2019 as recipients of web-based teaching. Meanwhile, nursing undergraduate students who started their studies in 2019 and 2020 were selected for traditional offline teaching as the control group. For the web-based teaching, our team used the Xuexi Tong platform as the major platform to realize a new seven-in-one teaching method (ie, videos, materials, chapter tests, interactions, homework, live broadcasts, and case analysis/discussion). This new teaching mode involved diverse web-based teaching methods and contents, including flipped classroom, screen-to-screen experimental teaching, a drawing competition, and a writing activity on the theme of What I Know About COVID-19. When the teaching was about to end, a questionnaire was administered to obtain feedback regarding the teaching performance. In the meantime, the final written pathology examination results of the web-based teaching and traditional offline teaching groups were compared to examine the mastery of knowledge of the students. Results: Using the Xuexi Tong platform as the major platform to conduct seven-in-one teaching is feasible and acceptable. With regard to the teaching performance of this new web based teaching mode, students demonstrated a high degree of satisfaction, and the questionnaire showed that 71.3% or more of the students in different groups reported a greater degree of satisfaction or being very satisfied. In fact, more students achieved high scores (90-100) in the web-based learning group than in the offline learning control group (P=.02). Especially, the number of students with objective scores >60 in the web-based learning group was greater than that in the offline learning control group (P=.045). Conclusions: This study showed that the web based teaching mode was not inferior to the traditional offline teaching mode for medical morphology courses, proving the feasibility and acceptability of web-based teaching during the COVID-19 pandemic. Our findings lay a solid theoretical foundation for follow-up studies of medical students.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.4
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据