摘要
随着大数据,云计算,人工智能等技术的不断发展,高校也在积极利用先进的信息技术提高教学管理各个环节的科学性、精准性和智能性。针对高校传统资助方法无法全面真实了解学生经济状况的问题,文章基于大数据技术,通过对学生在校行为数据进行采集、处理、分析和挖掘,构建学生消费行为与家庭经济情况关系,从而实现对家庭经济困难学生的精准认定与资助。
with the continuous development of big data,cloud computing,artificial intelligence and other technologies,colleges and universities are also actively using advanced information technology to improve the scientificity,accuracy and intelligence of all aspects of teaching management.In view of the problem that the traditional methods of college financial aid can not fully and truly understand the economic situation of students,this paper,based on big data technology,through the collection,processing,analysis and mining of students'school behavior data,constructs the relationship between students'consumption behavior and family economic situation,so as to realize the accurate identification and financial aid for students with family economic difficulties.
作者
安洋
李军怀
殷仕刚
AN Yang;LI Jun-huai;YIN Shi-gang(Network&Information center of Xi'an University of technology,Xi'an 710048,China;School of computer science and engineering,Xi'an University of technology,Xi'an 710048,China)
出处
《电脑与信息技术》
2020年第6期50-53,共4页
Computer and Information Technology
关键词
大数据
精准资助
学生消费行为
big data
precise funding
student consumption behavior
