Research on the Application of New Media Technology in Teaching of Ideological and Political Theory Course in Colleges and Universities Lili Wang1, Na Jiang2
Abstract
In order to improve the teaching quality and optimize the design of the teaching platform of ideological and political theory course in colleges and universities, the reform of ideological and political theory classroom teaching in colleges and universities should be carried out under the new media technology to promote the optimization and upgrading of the level of artificial intelligence in teaching. This paper puts forward a new media teaching resource allocation model based on fuzzy decision model for ideological and political theory courses in colleges and universities, and constructs a database model of teaching resources of ideological and political theory courses in colleges and universities under the new media technology. The association rule mining method is used to mine the teaching resources of political theory course big data, and the fuzzy decision method is used to deal with the distributed clustering of new media teaching resources in political theory class. The method of multiple regression analysis is used to realize the adaptive scheduling of new media teaching resources for ideological and political theory courses in colleges and universities. On the basis of algorithm design, the software development and design of ideological and political theory teaching platform in colleges and universities are carried out on the basis of Hadoop platform, so as to improve the automatic collocation ability of ideological and political theory teaching in colleges and universities. The test results show that the new media teaching resources sharing and allocating performance is better, the recall rate of resource scheduling is higher, and the teaching platform is more reliable and stable.