基于大数据的高校学生画像系统研究

Research on College Student Portrait System Based on Big Data

对大数据技术、用户画像技术进行了阐述,提出了基于大数据的学生画像系统技术架构,从基础信息、学习信息、奖惩信息、财务信息、行为信息、医疗信息及就业信息七个方面构建了学生画像的标签体系,结合学生管理的实际需求,从个体分析及群体分析两个方面设计了学生画像系统的应用场景,提出了适用的数据分析算法。这对于高校学生的精细化管理、违规违纪行为超前预警防范具有一定的实用价值。

The user portrait technology of big data technology is elaborated,and the technical framework of student portrait system based on big data is proposed.The label system of student portrait is constructed from seven aspects:basic information,learning information,reward and punishment information,financial information,behavioral information,medical information and employment information.The application scenario of student portrait system is designed from two aspects of individual analysis and group analysis,and the applicable data analysis algorithm is proposed.This has certain practical value for the fine management of college students and the early warning and prevention of violations of discipline.