摘要
通过对西部民族地区高校贫困生助学现状调查分析,指出高校贫困生资助存在的三大突出问题——资助认定体系不够完善、资助运行模式有待改良和监督机制不够健全。在大数据视域下,有针对性地给出精准助学对策和行动导向,为民族地区高校贫困生精准助学决策和行动提供有力参考。
Through the investigation and analysis of the current situation of poverty-stricken students in the western minority areas, it is pointed out that the three outstanding problems in the funding of poor students in colleges and universities: the funding certification system is not perfect, the funding operation mode needs to be improved and the supervision mechanism is not sound enough. In the perspective of big data, targeted measures and action orientations are given in a targeted manner, which provides a powerful reference for the decision-making and action of the poor students in the minority areas.
作者
王海波
庹清
袁芬
舒轩琴
刘娅
伍逸凡
WANG Haibo;TUO Qing;YUAN Fen;SHU Xuanqin;LIU Ya;WU Yifan
出处
《高教学刊》
2019年第9期6-9,共4页
Journal of Higher Education
基金
湖南省大学生研究性学习和创新性实验计划项目"‘大数据’环境下的西部民族地区高校贫困生精准助学体系研究"(编号:557号)
湖南省普通高等学校教学改革研究课题"新工科背景下民族地区地方大学创新创业教育实践研究--以吉首大学为例"(编号:410号)
关键词
大数据
西部民族地区
高校贫困生
精准助学
big data
western minority areas
college poor students
accurate student aid