大数据视域下高等院校学生助学金精细化资助系统研究  

Research on fine subsidy system of student grants in colleges and universities from the perspective of big data

作　　者：杨政安[1] 李想[1] 

机构地区：[1]兰州职业技术学院电子与信息工程系,甘肃兰州730070

出　　处：《电子工程学院学报》2020年第3期294-294,共1页Journal of The College of Electronic Engineering

基　　金：兰州职业技术学院院级一般项目(A类)—《基于大数据的助学金评定系统研究》(编号:2018xy-16)成果。

摘　　要：近年来大数据在各个行业中得到了广泛的认可并大量使用,也为高校贫困生助学工作带来新的机遇和挑战。本文探讨了贫困生身份认定过程中存在的问题,并给出通过学生消费大数据的采集清洗与分析,指导高等院校学生助学金精细化资助系统设计的几点建议。in recent years,big data has been widely recognized and widely used in various industries,and it also brings new opportunities and challenges to the work of helping poor students in Colleges and universities.This paper probes into the problems existing in the process of identifying poor students,and puts forward some suggestions for guiding the design of fine financial aid system of student grants in Colleges and universities by collecting,cleaning and analyzing the big data of students'consumption.

关 键 词：大数据 助学金评定 精细化资助 贫困认定 

分 类 号：G647[文化科学—高等教育学]