The Teaching and Innovation Reform of College Ideological and Political Theory Course from the Perspective of Big Data
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Linlin Niu, Hui Shan, Jian Wang
In the era of big data, it provides data thinking ideas, interactive communication platforms, sufficient quality resources, and intelligent management services for the innovation of teaching methods of college ideological and political theory courses. It also brings serious challenge in teaching concepts, management models, technology applications, and ideology security. The use of big data technology and the maintenance of corresponding development tools require profound theoretical foundations and practical skills. The reform of teaching methods accompanying the big data teaching model has become the limitation of the current ideological and political theory course reform. This paper briefly introduces the basic connotation and characteristics of big data, expounds the development of the teaching mode of ideological and political theory courses in colleges and universities from the perspective of big data, introduces big data technology into the classroom and promotes the implementation of teaching practice as the key research content, combined with the current The technical dilemma and the dilemma of the rational teaching mode are studied in depth, and the innovative strategy of the ideological and political theory teaching in colleges and universities in the era of big data is proposed.
Big data, Teaching of ideological and political theory, Flipping classroom, Innovation reform