教育数据挖掘技术在高校课程建设中的应用

Application of the Educational Data Mining Technology in College Curriculum Construction

通识教育课程和学科基础课程是大学生入学后首先接触的两门学科,它们之间的联系对于科学、高效地引导后续各门学科的教学至关重要。因此,文章采用教育数据挖掘技术中的关联规则方法,借助Weka平台中的Apriori分析,探索通识教育与专业基础课程的关联规则,旨在提高教师的教学效果和学生的学习效率;同时,文章还为高校的课程设置提出政策建议,以提升高校的教学水平。

The general education courses and subject foundation courses are the first two subjects that the college students contact after entering the university. The connection between them is very important to guide the teaching ofsubsequent subjects scientifically and efficiently. Therefore,this paper adopts the association rules method in educational data mining technology and the Apriori analysis on Weka platform to explore the association rules betweengeneral education and professional basic courses,aiming to improve the teaching effect of teachers and the learningefficiency of students. At the same time,this paper also puts forward some policy suggestions for the curriculum incolleges and universities to improve the teaching level in colleges and universities.