摘要
提升资助精准度是当前高校资助工作的必然要求,大数据思维及技术为此提供了有效工具。从大数据视角审视高校资助工作,主要存在统筹规划不足、贫困生认定难、忽视学生发展性等问题。将大数据思维与高校资助工作相融合具备可行性,通过大数据的挖掘、分析和应用,促进贫困生认定精准化、资助个性化、管理动态化,最大效度地发挥高校资助工作的育人功能。
The enhancement of the accuracy of the current funding is the necessary requirement to universities,and the thinking and technology of big data can provide an effective tool. From the big data perspective,the problems exist in the universities' funding work include the insufficient funding plans,the difficulty in identifying poor students,and the ignorance in the development of students. Therefore,it is possible to integrate the thinking of big data with universities' funding work. Through big data mining,analy- sis and application,we can promote accurate identification of poor students,find proper personalized funding ways,and fulfill dynamic management. And in this way,we can perform the maximum validity of the educational function of the funding work.
作者
胡徽
HU Hui(Public Management School of Xiangtan University,Xiangtan 411105,China)
出处
《黑龙江教育学院学报》
2019年第6期148-150,共3页
Journal of Heilongjiang College of Education
基金
2016年湖南省高校思想政治教育课题“‘微时代’下高校辅导员职业能力结构转型研究”(16C04)
关键词
大数据
高校
精准资助
big data
university
precise financing