摘要
经过多年的探索与实践,我国高校学生资助工作已初步建立较完善的工作体系,众多家庭经济困难学生得以顺利完成学业。但是,传统的资助工作体系还存在着认定手段机械化、认定对象不准确、后续工作跟进不到位等诸多问题,无法完全做到精准资助。将大数据技术应用于学生资助工作,可以弥补上述不足,增强资助对象管理的针对性和实效性,更好地发挥资助工作的育人功能。
After many years of exploration and practice,the university student aid work in our country has initially established a relatively perfect working system,and many families with financial difficulties have successfully completed their studies.However,there are still many problems in the traditional financial support system,such as the determination of the means,mechanization,inaccurate identification of the objects,follow-up of the follow-up work and so on,and can not be fully funded.The application of big data technology to student aid can make up for these deficiencies,strengthen the pertinence and effectiveness of the management of financial aid objects,and give better play to the educational function of financial aid work.
出处
《大众科技》
2017年第10期106-108,共3页
Popular Science & Technology
关键词
大数据
精准资助
体系构建
Big data
precision funding
system building