关联规则在课堂教学测评中的应用  

Application of Association Rules on Evaluation of Classroom Teaching

作　　者：王峻 WANG Jun(School of Computer Science,Huainan Normal University,Huainan 232038,China)

机构地区：[1]淮南师范学院计算机学院,安徽淮南232038

出　　处：《白城师范学院学报》2018年第10期52-57,66,共7页Journal of Baicheng Normal University

摘　　要：关联规则是数据挖掘的一个研究方向,它可以通过对大量数据中数据项相关性的分析,挖掘各数据项之间的内在联系.课堂教学测评是目前高校学生对任课教师的一种课堂教学评价方法,涵盖课堂教学的每个环节.运用关联规则技术对课堂教学每个环节的评价数据进行分析,探索主要教学环节之间的内在联系,科学分析影响课堂教学的主要因素,为教师提高课堂教学质量提供指导意见,为学校改革教学模式,优化人才培养方案提供科学有效的参考依据.The association rule is a research direction of data mining.It can dig the internal relation between data items by analyzing the correlation of data items in a large number of data.Classroom teaching evaluation is a kind of classroom teaching evaluation method which covers every aspect of classroom teaching.We will use relevance rule technology to analyze the evaluation data of each link of classroom teaching,explore the internal links between the main teaching links,scientifically analyze the main factors that affect classroom teaching,provide guidance for teachers to improve the quality of classroom teaching,and reform the teaching model for schools.Optimizing the talent training scheme provides a scientific and effective reference basis.

关 键 词：数据挖掘 关联规则 课堂教学 测评 

分 类 号：TP311.13[自动化与计算机技术—计算机软件与理论]