With the rapid development of information technology and the advancement of educational informatization,the phe?nomenon of using intelligent terminals and digitization,cyberization for teaching management is getting more and more common. Col?lege education management platforms gradually accumulate a large number of student performance data,how to extract the hidden and valuable information and change waste into treasure to change the traditional simple query and statistics on these data,provide effective and objective decision information for teaching management,it is a urgent problem for colleges and universities to solve. Based on the campus data of colleges and universities,this paper describes the behavior of college students from various dimensions and angles,and analyzes the performance portrait of college students through data mining technology,and excavates the potential laws and patterns from those data of college students,to a certain extent,providing decision support information for the teaching de?partments.%随着信息技术的迅速发展与教育信息化进程的推进,利用智能化终端以及数字化、网络化进行教学管理的现象越来越普遍,高校教务管理平台上逐渐积累了大量的学生行为数据,面对海量的校园数据,如何从中提取出隐含的、有价值的信息,变废为宝,改变传统的对这些数据的简单查询与统计,为教学管理工作提供高效客观的决策信息,是各高校亟待解决的问题.文章以高校各种校园数据为基础,对大学生进行行为画像,从多个维度和角度综合描述了大学生在校信息状态,并通过数据挖掘技术,对大学生行为画像进行聚类分析,挖掘大学生的学习及生活上潜在的规律及模式,在一定程度上为教学部门提供了决策支持信息.
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