Teaching quality improvement analysis using data mining: a case study in college English teaching

被引：0

作者：

Yang, Wu ^{[1
]}

Hailiang, Huang ^{[1
]}

机构：

[1] Shanghai Univ, Sch Foreign Languages, Shanghai 200436, Peoples R China

来源：

INTERNATIONAL CONFERENCE ON MANAGEMENT INNOVATION, VOLS 1 AND 2 | 2007年

关键词：

quality improvement; data mining; English language teaching;

D O I：

暂无

中图分类号：

F [经济];

学科分类号：

02 ;

摘要：

This paper presents an analysis of teaching quality improvement in English language teaching using data mining for developing quality improvement strategies. Based on 1132 survey samples that were collected from a certain grade students during the period from April to June 2006, important factors impacting the teaching quality were identified via the decision tree method for data mining. Findings showed that the important fictors for the percentage of making obvious progress were learning objectives, teaching measures and teaching modes. The optimum range of target group in teaching quality indicators was identified from the gains chart. A decision support system (DSS) was developed to analyze and monitor trends of quality indicators.

引用

页码：464 / 467

页数：4