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

机译：大学生思想政治教育教学管理数据聚类分析与实现

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摘要

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.
机译：新形势下大学生思想政治教育面临巨大挑战。因此，有必要不断调整思想工作方式，加强先进经验的交流，提高高校思想政治教育的实效。基于数据挖掘的聚类方法，研究了其在思想政治教育管理中的应用。我们以师生工作评估量表为数据源，运用k-means算法进行聚类分析。因此，对辅导员的工作评估量表进行了聚类，并在进一步的实验中得到了验证。然后，我们也得出一些有意义的结论。所获得的信息与高校当前的管理状况相吻合，根据这些信息进行的改革将为提高管理水平提供促进作用。

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