Analysis and Research on Ideological and Political Learning Outcomes of College Students Based on Education Data Mining
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DOI: 10.25236/icatpe.2019.063
Corresponding Author
Jiang Xiaoguo
Abstract
It is Still in the Exploration Stage for the Application of the Existing Education Management System in the Ideological and Political Education Management of Colleges and Universities, Especially for the Research on the Ideological and Political Education Management of Colleges and Universities in the Management of Ideological and Political Education. This Paper Aims At the Topic of Education Management of Ideological and Political Thoughts in Colleges and Universities in Education Management of Ideological and Political Thoughts. Combining with the Clustering Analysis in Data Mining Technology, This Paper Carries out Research of the Ideological and Political Learning Results of College Students, Which is the Most Important Link in This Topic. the Traditional Analysis Method is Based on the Evaluation of Calculating the Absolute Score, Which Has Some Defects in the Objectivity and Accuracy of the Evaluation Results. Therefore, This Paper Adopts the Idea of Clustering Analysis in Data Mining and K-Means Algorithm to Analyze the Ideological and Political Learning Achievement Data of College Students, Which Can Effectively Overcome the Defects and Deficiencies of Traditional Analysis Methods.
Keywords
Data Mining; Clustering Analysis; Partition Method; K-Means Algorithm