A New Hybrid Teaching Model for a Psychology Course

Shuyang Hua, Fulian Liu

Abstract


The current traditional college psychology courses only pay attention to the prevention and correction of the psychological problems of college students, but neglect to let students have a good positive emotion to learn, which is not conducive to the development of psychological potential of students, thus psychology learning cannot achieve the expected results. Based on the psychology blended teaching theory, combined with the entrepreneurial education of college students, a set of PDCA (Plan-Do-Check-Action) teaching mode which adapts to the development needs of "Internet education" is designed, and formed several new methods of teaching, such as "integration of online and offline classroom teaching". In addition, a new performance prediction model based on graph convolution neural network is proposed decision tree data mining methods are used to predict student performance, by extracting user information and high-dimensional information of the knowledge graph, this mode is conducive to platform managers to understand students’ conditions in time and improve teaching quality. This teaching mode dynamically analyzes the internal relationships among learners, teachers, online classrooms, offline classrooms and it can find problems early and provide solutions. It is conducive to improving students' academic performance and learning enthusiasm, and enhancing the ability of college students.

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Copyright (c) 2021 Shuyang Hua, Fulian Liu


International Journal of Emerging Technologies in Learning (iJET) – eISSN: 1863-0383
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