数据挖掘在学生行为管理中的应用研究--以沈阳工程学院为例  

Research on application of data mining in student Behavior Management--Take Shenyang Institute of Engineering as an example

作　　者：丁静[1] 胡俊宇 苗鹤 DING Jing;HU Jun-Yu;MIAO He(Shenyang Institute of Engineering Network and Computing Center,ShenYang 110136,China;Shenyang Institute of Engineering Science and Technology Department,ShenYang 110136,China;Shenyang Institute of Engineering,College of International Education,ShenYang 110136,China)

机构地区：[1]沈阳工程学院网络与计算中心,辽宁沈阳110136 [2]沈阳工程学院科技处,辽宁沈阳110136 [3]沈阳工程学院国际教育学院,辽宁沈阳110136

出　　处：《沈阳工程学院学报（社会科学版）》2022年第4期139-144,共6页Journal of Shenyang Institute of Engineering:Social Science

摘　　要：从学生网络管理系统及学生网络使用情况的实际出发,通过对学生上网行为模式整体变化情况进行分析,采用数据挖掘中的KNN分类算法,对学生上网的大量数据进行数据挖掘,最终找到流量、时长与学生成绩关系,对异常数据学生行为进行干预,从而应用到学生行为管理中。This paper starts from the reality of Student Network Management System and student network use,Through analyzing the overall changes of students'online behavior mode,The study uses the classification algorithm in data mining,carries out data mining on a large amount of data of student Internet access,finally finds the re‐lationship between traffic,duration and student performance,and intervenes in abnormal student behavior,So it can be applied to student behavior management.

关 键 词：上网行为模式 数据挖掘 分类算法 行为管理 

分 类 号：G647[文化科学—高等教育学]