基于大数据背景的大学生精准资助优化策略

The Optimized Strategy of Targeted Funding for College Students in the Context of Big Data

进一步提升教育资助精准化水平后,强化大数据意识,加强数据处理能力已成为“精准资助”的必然需求。本文以厦门兴才职业技术学院为例,具体对大数据背景下大学生精准扶贫的特点、精准资助工作中存在的问题进行了探讨,并提出了量化工作体系、追踪资助档案、开展资助对象考核、收集资助对象需求等具体对策。

After further improving the level of targeted educational funding,strengthening the awareness of“big data”and promoting data processing capabilities have become inevitable trends.Taking Xiamen Xingcai Vocational and Technical College as an example,this article discusses the characteristics of targeted poverty alleviation for college students in the context of big data,along with the problems existing in the targeted funding work,and proposes to quantify working system,track funding files,and carry out funding targets assessment,solicit the needs of the funding targets and other suggestions.