数据挖掘技术在高校学生管理工作中的应用初探

Application of Data Mining Technology in College Student Management

随着高校学生行为数据电子化和数据挖掘技术的发展,电子化、标准化的数据环境为数据挖掘技术的应用提供了平台。将高校学生管理的优势与数据挖掘技术深度融合,高校中心数据库搜集了大量的生源数据、学业数据、消费数据和教务数据等,数据挖掘技术对学生群体和个体的行为特征进行数字化分析,并在海量的学生数据中发掘潜在的规律和价值,将规律价值反馈给学生工作管理部门,从而指导学业辅导、公寓管理、学生资助和诈骗防控等业务实践。

With the development of the electronic and data mining technology of college students’behavior data,the electronic and standardized data environment provides a platform for the application of data mining technology.The advantages of university student management and data mining technology are deeply integrated.The university central database collects a large number of student source data,academic data,consumption data and educational data.Data mining technology digitalizes the behavior characteristics of student groups and individuals,and discovers potential laws and values in massive student data,and feeds back the value of laws to students’work.The management department guides the business practices of academic counseling,apartment management,student aid and fraud prevention and control.