聚类分析在大学生心理健康管理中的应用

Application Research on Psychological Health Management of University Students Using Cluster Analysis

近年来,大学生心理健康教育逐渐为教育主管部门所重视,大部分高校都设立了心理咨询指导中心,使用心理管理系统进行学生的心理测量、统计和建档。尽管这些传统的方法取得了一定的成效,但不能客观全面地反映学生的心理健康状态,实现防患于未然的预警作用。本文使用聚类分析方法对学生档案数据进行分析,以有效克服常规心理测量、人工普查等传统方法的单一性和主观性。实验结果表明,提出的方法具有较高的准确率和稳定性,能为高校大学生心理健康教育与管理提供有效的管理手段。

In recent years, the educational departments have gradually paid much attention to the psy-chological health education of university students. Most universities have set up psychological counse-ling centers and management system to conduct psychological measurement, statistical analysis anddata filing. Although these traditional methods have made some progress, they neither reflect the psy-chological health status of students objectively and comprehensively, nor can the methods achieve thefunction of early warning to psychological problems. This paper used cluster analysis of data mining toanalyze the student file information data, which could effectively overcome the defects of psychologicalmeasurement, artificial census and other traditional methods which might be of unity and subjectivity.Experimental result showed that k-means cluster had high accuracy and stability and could provide agood theoretical basis for university students psychological health education and management.