Application of a Three-Segment E-learning Mode in Diagnostics Course Based on Rain Classroom

Si-min Huang, Jing Yang, Chun-ting Lu, Peng Xu, Jun Guo, Sheng-ming Liu

Abstract


Changes in the educational situation and characteristics of students are posing challenges to modern education. Exploring teaching modes suitable for today’s college students become an important topic. In this study, a new teaching mode of three-segment (pre-, in- and post-class) based on the Rain Classroom e-learning platform was introduced into the processes of teaching Diagnostics Course for students in grade 2015 majoring in clinical medicine. The research were conducted by three-segment including that the teacher shared the pre-class learning materials with students before class, while real-time communication and timely feedback on teaching efficiency in class, and at last homework assignments were shared and still tracked the students, learning after class. The results of the new teaching mode were assessed mainly through the whole teaching and learning performance, final examinations and questionnaires as well. Compared with students in grade 2014 clinical medicine major who were adopted the traditional teaching mode, students in grade 2015 had a significantly higher pass-rate, and the percentage of high-score on the final exam was also higher. In questionnaires, students in grade 2015 generally recognized that the new teaching mode was conducive to improving learning outcomes. In conclusion, the investigation and application of the Rain Classroom platform-based new teaching mode of Diagnostics was a successful trial. This new teaching mode can significantly improve teacher-student interaction; help teachers track students’ learning outcomes throughout the teaching process and effectively regulate the teaching strategies. Fundamentally, it can improve students, learning interest, promote active learning and enhance academic performance among students.


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DOI: https://doi.org/10.5430/irhe.v5n2p16

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International Research in Higher Education  ISSN 2380-9183 (Print)  ISSN 2380-9205 (Online)

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