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A New Hybrid Teaching Model for a Psychology Course

机译:一种新的心理学课程混合教学模式

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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.
机译:目前的传统大学心理学课程只关注预防和修正大学生心理问题,但疏忽让学生有一个良好的积极情绪来学习,这不利于学生的心理潜力的发展,从而有利于学生的心理潜力学习无法达到预期的结果。基于心理学混合教学理论,结合大学生的企业家教育,一套PDCA(计划 - 校验行动)教学模式,适应“互联网教育”的发展需求,并形成了几个新的教学方法,如“在线和离线课堂教学的集成”。此外,提出了一种基于图形卷积神经网络的新的性能预测模型决策树数据挖掘方法用于预测学生性能,通过提取知识图的用户信息和高维信息,这种模式有利于平台管理器了解学生的条件,提高教学质量。该教学模式动态分析了学习者,教师,在线教室,离线教室的内部关系,并且可以提早找到问题并提供解决方案。有利于提高学生的学业绩效和学习热情,提高大学生能力。

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