Research Article
Management of Ideological and Political Education of College Based on Data Mining
@INPROCEEDINGS{10.4108/eai.23-12-2022.2329086, author={Ge Chen and Kangsheng Hu and Chaofeng Huang}, title={Management of Ideological and Political Education of College Based on Data Mining}, proceedings={Proceedings of the 2nd International Conference on Internet Technology and Educational Informatization, ITEI 2022, December 23-25, 2022, Harbin, China}, publisher={EAI}, proceedings_a={ITEI}, year={2023}, month={6}, keywords={data mining; educational management; k-means algorithm}, doi={10.4108/eai.23-12-2022.2329086} }- Ge Chen
Kangsheng Hu
Chaofeng Huang
Year: 2023
Management of Ideological and Political Education of College Based on Data Mining
ITEI
EAI
DOI: 10.4108/eai.23-12-2022.2329086
Abstract
The evaluation method of work assessment quantification table is suitable for vertically measuring the mastery degree of ideological and political education administrators to the students they manage. The information contained in this method is obviously insufficient, and there are some defects in the objectivity and accuracy of the evaluation results. It is invalid and inappropriate to evaluate ideological and political educators according to traditional analysis methods. This paper takes the management of ideological and political education in colleges and universities as the research object, combines data mining technology, adopts the idea of cluster analysis, and uses k-means algorithm to automatically analyze and mine a large number of evaluation data in the "work evaluation quantification table", and verifies it with real data, Experiments show that this method can effectively overcome the shortcomings of traditional analysis methods.
