Teaching Management Data Clustering Analysis and Implementation on Ideological and Political Education of College Students

The ideological and political education of college students is facing enormous challenge under new situation. Thus, it is necessary to continuously adjust the way of ideological work and strengthen the exchanging of advanced experience, to improve the ideological and political education effects for colleges. Based on the clustering method of data mining, this paper studies its application on ideological and political education management. We take the work assessment scale of teachers and students as the data source and apply k-means algorithm to make clustering analysis. So the clustering of work assessment scales of counselors are performed and they are verified in further experiments. Then we also draw certain conclusions that make sense. The acquired information are consistent with current management situation of the colleges and the reform based on these information will provide promoting effect to improve the managing level.