摘要
近年来,随着计算机技术的快速发展,很多高校也加快了教育信息化的步伐,教育行业的数据也在快速增长,作为数据的管理者,如何从这些复杂的海量数据中挖掘有用的数据,发现数据的潜在价值,并能利用所得到的数据改进教育教学方法,提高教学质量及提升学生的素养,将是我教育行业的大数据发的重要发展路径。文章从高职院校建设智慧校园出发,通过对学生的消费、生活、学习等习惯,结合各类评价指标体系,利用数据挖掘技术及大数据分析,找到数据中的规律,挖掘出数据的价值,从而建立学生行为预警管理、教学管理等决策辅助系统,为学校的管理者提供决策依据。
In recent years,with the rapid development of computer technology,many colleges and universities also accelerated the pace of education informatization,education also is in rapid growth,industry data for data managers,if from these complex huge amounts of data mining useful data,find the potential value of the data,and can use the resulting data to improve the education teaching method,Improving teaching quality and improving students’literacy will be an important development path of big data development in our education industry.This article embarks from the wisdom campus construction in higher vocational colleges,based on students’consumption,life and learning habits,such as combination of various kinds of evaluation index system,using data mining technology and data analysis,find the data in the law of mining the value of the data,thus establishing early warning management,teaching management,and other student behavior decision auxiliary system,offer the decision basis for school administrators.
作者
黄静霞
杨国龙
Huang Jingxia;Yang Guolong(Zhanjiang Preschool Education College,Zhanjiang 524084,China)
出处
《无线互联科技》
2022年第20期120-122,139,共4页
Wireless Internet Technology
基金
2021年度第六批湛江市非资助科技攻关计划项目,项目名称:基于神经网络的大专院校面向社会评价的人才培养质量评估体系研究,项目编号:2021B01534。
关键词
大数据分析
学生行为
数据挖掘
行为预警
big data analysis
student behavior
data mining
behavior warning
