关联规则挖掘在教学管理中的应用

Application of Associate Rule Mining to Teaching Management

随着高校招生规模的扩大,大学生的入学基础差异性很大,某些弱势专业非第一志愿考生的比例也较高.如果对这些学生实施相同的教学内容、教学方法和管理措施,势必影响整体教学质量.本文利用数据挖掘中的关联规则挖掘技术分析学生的入学成绩与入学后课程成绩之间的关系以及高考志愿与入学后课程成绩之间的关系,为实施分级教学和分类管理提供依据.实验结果表明,入学成绩和高考志愿与大学课程成绩之间存在关联.

With the enrollment expansion in higher education,college students differs greatly,and the rate of non-first choice is also great.Obviously,if the same teaching contents,teaching methods and management measures are selected for all students,teaching quality can not be very goos.In this paper,the technique of associate rule mining is used to analyze the relationships between entrance subject marks or college course marks,and relationships between different choices and college course marks.This provides the basis for the implement of graded teaching and classification management.The experimental results show that the enrollment choice and entrance marks both have impact on college course marks.