大数据背景下本科高校精准资助量化指标机制研究

Research on Precise Funding Mechanism of Undergraduate Institutions under the Background of Mega Data

高校在贫困生资助工作中一定程度存在着贫困生认定依据简单、贫困证明开具程序舞弊等现象。高校利用大数据平台对学生各方面信息进行采集整合,利用大数据技术分析学生家庭所在地的经济、家庭财务支出、日常活动、校内学习、校园生活、家庭情况、父母职业、学生本人身体状况等各个方面的内容,能够实现资助对象的精准化,确保资助对象认定的准确性。

When colleges and universities subsidize poor students,there is a phenomenon in which reasons of identification of poor students are simplified,the procedure of poverty certification is fraudulent,Undergraduate higher education not only use big data platform to collect and integrate all aspects of students'information,but also make use of big data to analyze following aspects of students,such as the local economy,household financial expenditures,daily activities,learning situation,campus life,family situation,parents'occupations and body condition,that can realize the precision of the financing objects,ensure the accuracy of the recognition of the funded objects,and realize the precision of the funded objects when it subsidize the poor students.