大数据视角下高校建档立卡学生精准资助工作探析

An Analysis of the Accurate Subsidy for University Liberal Arts Students in the Perspective of Big Data

伴随建档立卡资助数量的逐渐增加,工作任务日益繁重,目前依托高校的建档立卡数据库不够完善,造成认定工作的困难性和复杂性。而对建档立卡贫困学生的准确鉴别与认定是提升高等教育学生资助工作质量的必然要求,在大数据时代下,高校资助工作需要进一步推进数据化的进程,利用大数据完善建档立卡数据体系,进而推进精准资助效率。

With the gradual increase in the number of funding for the construction ofcardholders, the task is increasingly ar- duous. At present, relying on colleges and universities to set up the database card database is not perfect, resulting in the difficulty and complexity of the identification work. Accurate identification and identification of impoverished students for estab- lishing and setting up cards is an inevitable requirement to improve the quality of higher education students＇ subsidy work. Under the era of big data, university funding needs to further advance the process of dataization, and use big data to improve the establishment of the card, the data system, in turn, promotes accurate funding efficiency.