大数据赋能高校学生资助育人体系优化研究  

A Study on Optimization of an Undergraduate-subsidized Education System Enabled by Big Data

作　　者：金捷 项家春 JIN Jie;XIANG Jiachun

机构地区：[1]安徽师范大学学生工作处,安徽芜湖241002

出　　处：《芜湖职业技术学院学报》2025年第1期93-96,共4页Journal of Wuhu Institute of Technology

基　　金：2022年安徽省高等学校科学研究项目(哲学社会科学)委托重大项目“高校家庭经济困难学生‘大数据画像’基础上‘菜单式’精准资助育人体系研究”(项目号:2022AH040030)。

摘　　要：党的二十大报告强调“完善覆盖全学段学生资助体系”。当前,高校资助育人工作正处于由“保障型”资助向“发展型”资助转型的关键期,而高校在开展资助育人工作中存在资助画像不够精准、资助体系不够完善、资助育人效果难以有效评估的问题。将大数据技术运用贯穿管理、画像、资助、育人和评估的全过程,构建精准的“五位一体”资助育人工作体系,完善大数据赋能下的资助育人路径,有助于推动该体系的优化及相关工作的高质量发展。The report of 20th CPC National Congress University emphasizes“perfecting the student-subsidized system covering all phases of education”.Currently,the work on undergraduate-subsidized education in colleges and universities is in key transformation from the“security-based type”to the“development-oriented type”,while there are some difficulties with this work,such as inaccurate portraying of subsidized objects,imperfect subsidy system and difficult evaluation on the effect of work.Applying the big data technology in the whole process of management,portraying,subsidizing,education and evaluation,building an accurate five-in-one undergraduate-subsidized education system,and further improving the path to undergraduate-subsidized education enabled by big data,help facilitate the optimization of this system and the high-quality development of relevant work.

关 键 词：大数据 高校 资助育人 

分 类 号：G647[文化科学—高等教育学]