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A Study on the Data Analysis of the Written Comments in Lecture Evaluation

데이터분석을 이용한 서술형 강의평가 연구

  • Choi, Jung-Woong (Dept. of e-Business Management, Kyungmin University) ;
  • An, Dong-Kyu (Dept. of e-Business Management, Kyungmin University)
  • 최정웅 (경민대학교 e-비즈니스경영과) ;
  • 안동규 (경민대학교 e-비즈니스경영과)
  • Received : 2016.09.30
  • Accepted : 2016.11.20
  • Published : 2016.11.28

Abstract

A number of non-structured data associated with lectures in the field of university education have been generated and it is an important consideration of the students's written comments lecture evaluation. The purpose of this study is to find student interaction factors associated with the student evaluation of teaching at universities, and to provide some insights into improving the student evaluation program based on the results. So, this study consists of three steps that create interaction score, collect student's written comments satisfaction, and analyze an individual professor score. There are a number of limitations to this study. The limitation is that the study was conducted on a narrow sample of the overall student population.

Keywords

Big Data;Text Mining;Opinion Mining;Satisfaction Score;Student-Interaction;Cosine Similarity

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