Innovation Theory Model of Ideological and Political Education based on Data Mining

Authors

  • Lei Xiao, Shuzhe Guo

Abstract

In recent years, the development of data mining research is very rapid, the information construction of education management system has also been better developed, all kinds of education management system has accumulated rich data. However, the application of data mining in education management system is still in the exploratory stage. Therefore, the research on the application of data mining technology in education management system has important theoretical significance and practical application value. Based on the clustering analysis algorithm in data mining, this paper studies its application in the management of Ideological and Political Education (IPE) in Colleges and Universities (C&U). And the “quantitative table of work assessment” in the management of IPE in C&U is taken as the data source, and the k-means algorithm is used for clustering analysis. It realizes the clustering of the “work assessment quantitative table” of our college counselors, and carries out further verification, and finally draws some valuable conclusions.

Published

2020-04-30

Issue

Section

Articles