On the construction of private class learning community based on intelligent teaching platform and analysis of its application effects
10.3760/cma.j.cn116021-20200822-01141
- VernacularTitle:基于智慧教学云平台的小班化学习社区建构与效果分析
- Author:
Penghui CHEN
1
;
Yandong ZHAO
;
Huizhong WEN
;
Yi ZHOU
;
Ying XIONG
Author Information
1. 陆军军医大学基础医学院神经生物学教研室，重庆 400038
- Keywords:
Private class education;
Neurobiology;
Learning community;
Intelligent teaching platform;
Learning efficiency
- From:
Chinese Journal of Medical Education Research
2023;22(1):70-74
- CountryChina
- Language:Chinese
-
Abstract:
In order to improve the effectiveness of private class inquiry with the development of information teaching, the smart teaching platform has been established, with instructional management, curriculum setting, teacher preparation, classroom application, supervision and monitoring modules. Taking the platform as the medium, the small class inquiry learning community of entity curriculum is constructed between students and the teachers. In the eight-year medical teaching, the content of learning cycle is designed according to the entity curriculum, which is issued on cloud platform before class, in class and after class. Students learn basic concepts by themselves in the learning community, explore the application of knowledge under the guidance of teachers, and expand knowledge in class or after class. After having test in teaching procedure, the small class learning community based on smart teaching cloud platform has a submission rate, interaction rate and score rate of more than 90%. It can not only make full use of the advantages of information-based teaching resources, but also build face-to-face learning community in the course teaching, reflecting the emotional interaction of personalized teaching. It's suggested that new approaches to teaching should be student-centered and activity-based, engaging students actively in the learning process, which can promote students' autonomous learning ability and innovative thinking ability.
