Teaching quality improvement analysis using data mining: a case study in college English teaching
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 factors 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.
quality improvement data mining English language teaching
Wu Yang Huang Hailiang
School of Foreign Languages,Shanghai University,Shanghai 200436,P. R. China School of Information Management & Engineering,Shanghai University of Finance & Economics,Shanghai 2
国际会议
The First International Conference on Management Innovation(ICMI 2007)(管理创新会议)
上海
英文
464-467
2007-06-04（万方平台首次上网日期，不代表论文的发表时间）