大数据环境下关于高校资助体系构建的思考  

TheThinking about University Funding System Building in The Big Data Environment

作　　者：彭宇 胡丽慧 PENG Yu, HU Li-hui （College of Computing, China West Normal University, Nanchong 637002, China）

机构地区：西华师范大学计算机学院,四川南充637002

出　　处：《电脑知识与技术》2017年第3期254-255,共2页Computer Knowledge and Technology

摘　　要：目前,高校资助一般包括奖、免、助、贷、补等形式,资助工作形式多样、纷繁复杂,且资助工作中存在着贫困认定草率、国家助学贷款缺乏诚信、对家庭经济困难学生资助途径较窄、缺乏监督回访机制等问题。资助体系的不够完善导致资助工作中很多环节脱节的现象,因此建立健全依托在互联网加大时代背景下的资助体系是完全必要的。At present, university funding generally includes award, free, help, credit, subsidies, such as funding work in a variety of forms, complicated, and there is poverty and aid work that hasty, national student loans, lack of sincerity, to family economic difficulties students funding way is narrow, lack of supervision and review mechanisms and other issues.Finance system imperfect in grant many flatten phenomenon in the work, thus set up the funding system which depends on the background in the era of the Internet is necessary.

关 键 词：互联网 大数据 高校 资助体系 贫困生 

分 类 号：TP399[自动化与计算机技术—计算机应用技术;自动化与计算机技术—计算机科学与技术]