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Research on online teaching resources diversified integration of ideological and political course in colleges and universities under the background of big data

机译:大数据背景下高校思想政治课网络教学资源多元化整合研究

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with the development of information technology, the data of online teaching resources is also rising rapidly. It is not convenient for students to screen the types of resources in the learning process. The diversified integration of online teaching resources is also the basis of ideological and political course teaching in colleges and universities. Therefore, this paper designs the online teaching resources diversified integration of ideological and political course in colleges and universities under the background of big data. Through the design of a diversified integration model framework, the resource service system and teaching resource platform are integrated to meet the learning needs of college students. The decision tree is introduced for classification and integration. EBP pruning method is used to obtain the data regions that analysts are interested in. The experimental results show that, after using the diversified integration method, the students' theoretical course scores have been significantly improved, which shows that the design of diversified integration method has a certain effectiveness.
机译:随着信息技术的发展,网络教学资源的数据量也在迅速上升。学生在学习过程中不方便筛选资源类型。网络教学资源的多元化整合也是高校思想政治课教学的基础。因此,本文设计了大数据背景下高校思想政治课网络教学资源的多元化整合。通过设计多元化整合模式框架,整合资源服务系统和教学资源平台,满足大学生的学习需求。引入决策树进行分类和集成。EBP剪枝方法用于获取分析人员感兴趣的数据区域。实验结果表明,采用多元化整合方法后,学生的理论课成绩有了显著提高,说明多元化整合方法的设计具有一定的有效性。

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