Research Article
An Ideological and Political Education Evaluation Method of University Students Based on Data Mining
@INPROCEEDINGS{10.1007/978-3-030-36405-2_40, author={Liyan Tu and Lan Wu}, title={An Ideological and Political Education Evaluation Method of University Students Based on Data Mining}, proceedings={Advanced Hybrid Information Processing. Third EAI International Conference, ADHIP 2019, Nanjing, China, September 21--22, 2019, Proceedings, Part II}, proceedings_a={ADHIP PART 2}, year={2019}, month={11}, keywords={Big data Data mining Educational evaluation Objectivity}, doi={10.1007/978-3-030-36405-2_40} }- Liyan Tu
Lan Wu
Year: 2019
An Ideological and Political Education Evaluation Method of University Students Based on Data Mining
ADHIP PART 2
Springer
DOI: 10.1007/978-3-030-36405-2_40
Abstract
The development of big data technology and data mining technology has brought new opportunities for the scientific and innovative development of ideological and political education in colleges and universities. The evaluation of ideological and political education in colleges and universities in the context of big data was studied in this paper. An evaluation method of college students’ ideological and political education based on data mining was proposed. The proposed method uses K-means clustering method to analyze the data of the “worker’s assessment scale” of the counselor, and can achieve the evaluation of the ideological and political management effect of the counselor. The experimental results show that compared with traditional evaluation methods, the evaluation results of this method are more accurate and objective.
