大数据背景下高校贫困生精准资助路径探析

On the Paths of Targeted Funding for Poor College Students Based on the Big Data Technology

高校资助工作在取得巨大成就的同时,也存在资助对象识别不够精准、贫困生认定标准不具有科学性、资助对象没有做到动态调整、资助过程中高校缺乏人文关怀等一系列的问题,这些问题对资助的精准度影响巨大。利用大数据技术构建资助指标体系,建立资助信息动态管理,可以实现资助对象精准化,推进资助行为差异化,强化资助育人的功能。

While making great achievements in university funding, there are also a series of problems, such as inaccurate identification of funding targets, unscientific identification standards for poor students, lack of dynamic adjustment of funding targets, and lack of humanistic care in the funding process, which directly affect the accuracy of funding. It is an important way for colleges and universities to use big data technology to establish a subsidy index system to realize the accurate target of subsidy, promote the differentiation of subsidy behavior, realize the dynamic management of subsidy information and strengthen the function of subsidy education.