摘要
随着学校数字化、信息化与智慧校园建设的不断深入发展,校园信息系统的应用已经融入学生学习、生活的方方面面,各个信息系统存在大量的学生行为数据,分析研究这些行为数据是目前的研究重点。利用数据仓库技术将存在于各个信息系统中的学生行为数据集成至数据仓库,通过数据挖掘分析建立高职学生行为分析模型,进而可以为学生修正学习方法、教师调整教学方式、管理部门精准学生管理提供帮助和建议。
With the continuous in-depth development of school digitization,informatization and smart campus construction,the application of campus information system has been integrated into all aspects of students study and life.Each information system has a large amount of student behavior data.Analysis and research of these behavior data is recent research focus.Use the data warehouse technology method to integrate the student behavior data existing in various information systems into the data warehouse,and establish the behavior analysis model of higher vocational student through data mining analysis,which can then modify the learning methods for students,adjust the teaching methods for teachers,and provide help and suggestions of accurate student management for management department.
作者
王军
何旭
WANG Jun;HE Xu(Jiangsu College of Engineering and Technology,Nantong 226007,China)
出处
《现代信息科技》
2020年第18期119-121,共3页
Modern Information Technology
基金
江苏现代教育技术研究课题基金资助项目(2017-R-53720)
江苏省高等学校大学生创新创业训练计划项目(202010958017Y)
南通市基层卫生健康研究课题(2020JCC014)。
关键词
高职学生
学生行为
数据挖掘
聚类分析
vocational student
student behavior
data mining
cluster analysis