基于多源数据融合的高校贫困生认定研究  

Research on identification of poor college student based on multi-source data

作　　者：朱宇楠 ZHU Yunan(Center of Informatization Construction and Management,Suqian University,Suqian,Jiangsu 223800,China)

机构地区：[1]宿迁学院信息化建设与管理中心,江苏宿迁223800

出　　处：《计算机应用文摘》2024年第18期132-134,共3页

基　　金：江苏省现代教育技术研究2022年度智慧校园专项课题:基于大数据的精准资助服务平台(107215)。

摘　　要：识别和精准资助高校贫困生有助于实现扶贫和教育公平,但传统基于证明材料和人工审核的认定方法过于单一与片面。随着高校信息化的发展,校内各类业务系统积累了大量学生信息,为贫困生的认定提供了全面有力的数据支撑。文章旨在通过多源数据整合方法构建学生全方位的立体画像,从而精准识别高校贫困生,进而解决传统认定方法中存在的伪造信息、标准单一与监督困难等问题。其中,首先分析了当前高校贫困生识别中存在的主要痛点,包括信息有效性差与认定效率低等;其次,利用构建的多源数据底座收集了校园卡消费、行为习惯、家庭经济状况等数据源,搭建了精准资助育人平台,从而对申请学生的贫困情况进行综合研判,进而保障认定结果精准、客观、公正。Identifying and accurately funding poor students in colleges and universities is conducive to poverty alleviation and educational equity.The traditional identification methods based on certification materials and manual audit are too single and one-sided.With the development of information technology in colleges and universities,various business systems on campus have accumulated a large amount of student information,providing comprehensive and powerful data support for the identification of poor students.This paper aims to construct a comprehensive three-dimensional portrait of students through the integration of multi-source data,so as to accurately identify the poor students in colleges and universities,and then solve the problems existing in the traditional identification methods such as forged information,single standards and supervision difficulties.Firstly,the paper analyzes the main pain points in the identification of poor college students,including poor information effectiveness and low identification efficiency.Secondly,the multi-source data base constructed is used to collect data sources such as campus card consumption,behavioral habits,and family economic status,and build a precision financial aid education platform,so as to conduct comprehensive research and judgment on the poverty situation of applicants,and thus ensure the accuracy,objectivity and justice of the identification results.

关 键 词：精准资助 贫困生认定 多源数据融合 

分 类 号：TP319[自动化与计算机技术—计算机软件与理论]