大数据背景下的高校精准资助应用研究

Research on Application of Precise Financial Aid in Universities Under Big Data Background

高校大学生贫困资助问题是当前社会关注的焦点之一,国家针对贫困大学生制定了完善的资助政策,然而高校在贫困生认定、助学金发放上仍存在甄别申请材料真实性、认定过程存在主观因素等问题。本文利用高校校园一卡通数据,结合学校公共数据中心平台的学生数据,采用机器学习、数据挖掘技术,实现对贫困生的认定与监测,为高校贫困生的精准资助提供科学、准确的决策辅助支持。

The problem of poverty financial aid for college students is one of the focuses of social concerns at present,and the state has formulated a sound financial aid policy for poverty college students.However,colleges and universities have problems in discriminating the authenticity of application materials and present subjective factors in the verification process during the verification of poverty students and the release of student subsidy.This paper uses the campus card data of colleges and universities,combines with the student data on the public data center platform of colleges and universities,and adopts machine learning and data mining technology to realize the verification and monitoring of poverty students,and provide scientific and accurate decision-making support for the precise financial aid of poverty students in colleges and universities.