Abstract
Ideological and political course is a key course to implement the fundamental task of building morality and cultivating people. Teaching evaluation is an important part of the construction of ideological and political courses. Constructing a perfect teaching evaluation index system is an urgent need to further deepen the teaching reform of ideological and political courses and improve the teaching quality of ideological and political courses. In order to improve the practical application effect of mixed teaching mode, an online and offline mixed teaching effect evaluation method based on big data analysis is proposed. Firstly, the big data in the process of mixed teaching are collected by using big data technology, and the evaluation index system is constructed from three dimensions. The required data are extracted according to the index, and then the association rules between the relevant data of the evaluation index are established, the phase space distribution of the data is obtained. Finally, the constraint parameter analysis method is used to fuse the control variables and explanatory variables of the index-related data to realize the online and offline mixed teaching effect evaluation. The application analysis results show that the method in this paper obtains ideal evaluation results of online and offline mixed teaching effects, which is conducive to improving teaching quality.
Highlights
Education is a great plan of the country, bearing the fundamental task of establishing moral education
E improvement of the quality of civics class is a systematic project, and a sound and perfect teaching evaluation index system is an important content and effective means to improve the teaching quality of civics class. e existing index system of teaching evaluation of civics and political science class in colleges and universities is still imperfect and unscientific, which restricts the improvement of teaching quality of civics and political science classes in colleges and universities
We study the evaluation method of online and offline hybrid teaching effect based on big data analysis, realize the scientific evaluation of online and offline hybrid teaching effect, and optimize the hybrid teaching model based on the evaluation results to improve the hybrid teaching effect
Summary
Education is a great plan of the country, bearing the fundamental task of establishing moral education. Focusing on the implementation of the spirit of General Secretary Xi Jinping’s important speeches and decision-making plans, the CPC central committee and the state council issued the opinions on strengthening and improving the ideological and political works in colleges and universities under the new situation in 2016, which clearly put forward that “we should improve the evaluation system of ideological and political work in colleges and universities, study and formulate an evaluation system with comprehensive contents, reasonable indicators, and scientific methods, and promote the institutionalization of ideological and political work in colleges and universities” [1]. E “implementation plan for the reform and innovation of ideological and political theory classes in schools in the new era” jointly issued by the propaganda department of the CPC central committee and the ministry of education emphasizes the need to focus on diverse evaluation methods in teaching civics and political science classes [3]. We study the evaluation method of online and offline hybrid teaching effect based on big data analysis, realize the scientific evaluation of online and offline hybrid teaching effect, and optimize the hybrid teaching model based on the evaluation results to improve the hybrid teaching effect
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