基于数据挖掘的教学评价系统研究  

Research on Teaching Evaluation System Based on Data Mining

作　　者：袁燕[1] 李慧[1] 

机构地区：[1]浙江海洋学院数理与信息学院,浙江舟山316004

出　　处：《计算机与现代化》2009年第11期116-119,123,共5页Computer and Modernization

基　　金：浙江海洋学院校级课题面上项目(X08M015);浙江省科技厅面上项目(2008C32036)

摘　　要：教学评价系统是监测与控制教学质量的重要工具与手段。本文将关联规则和决策树等数据挖掘算法引入到教学评价系统中,从数据分析的角度,对影响教学质量的主体、过程等因素及相互关系进行研究,提出适合于教学评价的规则发现方法,将其运用于教学评价之中,提高教学评价技术水平,使之更好地为教学服务。The teaching evaluation system is an essential tool and approach for monitoring and controlling the teaching quality. From the perspective of data analysis, this paper conducts a research on factors that influence the teaching quality such as the subjects and the procedures, and their relationship by applying association rules and decision tree data mining algorithms into the teaching evaluation system. It is aimed at putting forward a rule-discovery approach suitable for the teaching evaluation and applying it into practice so as to improve teaching evaluation skills and finally better serve teaching practice.

关 键 词：教学评价 决策树 关联规则 

分 类 号：G434[文化科学—教育学] TP311[文化科学—教育技术学]