摘要
贫困生资助体系是高校推动教育现代化,落实立德树人,满足新时代教育需求的重要手段。其实质是在满足贫困生物质需求的同时,提升人才培养效率,使贫困生深入认识到我国社会体系的先进性、人文性与时代性。在大数据背景下,贫困生资助体系的内在结构是根据贫困生的认定方式、群体特征及现有的资助模式,探寻传统资助体系所存在的问题,并根据现代教学要求与资助目标,提出科学合理的资助体系。本文结合大数据背景下高校贫困生资助内涵,探析高校资助现状,提出相应的构建策略。
The aid system for poor students is an important means for colleges and universities to promote the modernization of education,implement people,and meet the needs of education in the new era. In the context of big data,the internal structure of the poor student funding system is based on the identification of poor students,group characteristics,existing funding models and reasonable funding system. Based on the connotation of financial aid for poor students in colleges and universities under the background of big data,this paper analyzes the status of funding for colleges and universities,and proposes corresponding construction strategies.
作者
刘琤
LIU Zheng(Hunan Institute of Engineering,Xiangtan Hunan 411101,China)
出处
《湖北开放职业学院学报》
2020年第5期45-46,共2页
Journal of Hubei Open Vocational College
基金
湖南省教育科学规划课题“基于大数据高校贫困生精准化资助体系构建研究”(项目编号:XJK18CGD018)。
关键词
大数据
高校
贫困生
资助体系
big data
universities
poor students
funding system
