基于大数据的高校学生精准资助体系研究

A study on Precise Subsidy System for College Students based on Big Data

在大数据背景下探讨如何建立高校贫困生的精准资助体系。通过总结贫困生的群体特征、认定方式和资助模式,发现其中存在的较为重要而又亟待解决和改善的问题。根据相关问题并结合贫困生的特点,充分体现建立大数据模型在构建高校贫困生精准资助体系中的作用,并探讨大数据时代资助育人的新路径。

In the context of the big data,this paper explores how to establish an accurate subsidy system for impoverished students.By summarizing group characteristics,evaluation methods and funding model of impoverished students,we find that there are some important and urgent problems to be solved and improved.According to the relevant problems and the characteristics of poor college students,the role of building a big data model in building a precise financial aid system for impoverished students in colleges and universities is fully embodied,and the new ways of aiding and educating students in the big data era are explored.