基于大数据分析的高校贫困生精准资助路径思考

Thinking about the Path of Precise Funding for Poor College Students Based on Big Data Analysis

精准扶贫是我们党和国家在社会主义"共同富裕"原则的基础上,提出的全面建成小康社会的精准部署.高校资助育人是精准扶贫的一部分,属于是教育扶贫的范畴,展现了国家对经济困难学生的关爱.随着高等学校的扩张,学生数量也开始上升到了一定的高度,但是,资助育人的资源却十分有限.伴随着科技的不断发展,大数据技术就呈现到了大家的视野当中,并将大数据思维运用到高校贫困生资助工作中,对传统方法进行优化和创新.本文旨在基于大数据的视角下去思考解决这些问题的精准资助的新模式、新途径,以此来提升资助育人的精确性与针对性.

Targeted poverty alleviation is a precise deployment put forward by our party and country to build a moderately prosperous society in an all-round way on the basis of the principle of"common prosperity"of socialism.As a part of targeted poverty alleviation,education supported by colleges and universities belongs to the category of education poverty alleviation,which shows the state's care for students with economic difficulties.With the expansion of colleges and universities,the number of students also began to rise to a certain height,but the resources to support education are very limited.With the continuous development of science and technology,big data technology is presented to everyone's vision,and the big data thinking is applied to the work of University Poor Students'funding to optimize and innovate the traditional methods.Based on the perspective of big data,this paper aims to think about new models and new ways to solve these problems,so as to improve the accuracy and pertinence of funding education.