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Application of digital classroom based on identifying sectional structure in the experimental teaching of sectional anatomy / 中华医学教育探索杂志
Article en Zh | WPRIM | ID: wpr-1023257
Biblioteca responsable: WPRO
ABSTRACT
Objective:To discuss the application effect of digital classroom based on identifying sectional structure in the experimental teaching of sectional anatomy.Methods:A total of 180 students majoring in imaging diagnosis from six classes of Batch 2018 in Mudanjiang Medical University were randomly selected as the research objects and divided into the experimental group and the control group. Three classes (90 people) in the experimental group implemented the digital classroom teaching of learning platform + virtual digital person, while another three classes (90 people) in the control group adopted traditional teaching. After the course, the effect was evaluated according to the results of the questionnaire and the final exam results. SPSS 18.0 software was used for t-test and Chi-square test. Results:The questionnaire showed that the students in the experimental groups were superior to those in the control group in self-study ability, independent thinking ability, analytical and problem-solving ability, learning efficiency, learning interest and sectional thinking cultivation, and the difference was statistically significant ( P<0.05). The test scores showed that the theoretical scores [(56.08±1.65) vs. (45.19±1.74)], experimental scores [(37.13±3.24) vs. (30.16±2.04)] and total scores [(93.21±3.18) vs. (75.35±1.79)] in the experimental group were higher than those in control group, and the differences were statistically significant ( P<0.05). Conclusion:The digital classroom based on identifying sectional structure is a feasible teaching mode, which improves the students' ability to analyze and solve problems, increases their interest in sectional anatomy, and improves the teaching effect.
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Texto completo: 1 Base de datos: WPRIM Idioma: Zh Revista: Chinese Journal of Medical Education Research Año: 2023 Tipo del documento: Article
Texto completo: 1 Base de datos: WPRIM Idioma: Zh Revista: Chinese Journal of Medical Education Research Año: 2023 Tipo del documento: Article