A Study on Effective Selection of University Lecture Evaluation

대학 강의평가에서 문항 추출에 관한 연구

  • Hwang Se-Myung (Department of Information Engineering, Myongji University) ;
  • Kim In-Taek (Department of Communication Engineering, Myongji University)
  • 황세명 (명지대학교 정보공학과 대학원) ;
  • 김인택 (명지대학교 통신공학과)
  • Published : 2005.03.01

Abstract

In this paper, selecting survey items was performed using three clustering methods: factor analysis, fuzzy c-Means algorithm and cluster analysis. The methods were used to extract key items from various questionnaires. The key item represents several similar questionnaires that form a cluster. Test survey was made of 120 items obtained from several surveys and it was answered by 646 students from 4 universities. Each item contains 6 choices. Applying the clustering method chose 25 items which is reduced from the original 120 items. The results yielded by three methods are very similar.

Keywords

Factor Analysis(FA);Fuzzy c-Means Algorithm;Cluster Analysis(CA);Clustering