基于校园一卡通数据的高校贫困生认定应用研究

Research on identification system of poor college students based on campus card data

贫困大学生的认定一直是高校学生资助管理的难点之一,国家为高校贫困生认定建立了较为完善的学生资助政策体系,但是高校在贫困生认定、助学金发放上的材料真实性审核、认定过程存在主观因素等问题。文章构建了基于校园一卡通数据的贫困生认定框架,应用机器学习算法建立了贫困生识别模型,将模型识别后的贫困生数据发送到贫困生数据库仓库,为高校贫困生精准帮扶工作提供更科学、高效、可量化的决策支持。

The identification of poor college students has always been one of the difficulties in the management of college student aid,and the state has established a relatively complete student.funding policy system for the identification of poor college students,but there are still problems in universities for the identification of poor students and the issuance of grants.such as the authenticity of application materials and subjective factors in the recognition process.This paper constructs a framework for identifying poor students based on campus card data,uses machine learning algorithms to establish a poor student identification model,and sends the poor student data after model recognition to the poor student data base warehouse,so as to provide more scientific.efficient and quantifiable decision making support for the precise assistance of poor students in universities.