Earticle

초록

영어

This study was to examine the persistently influential course evaluation factors at college level from 10 years longitudinal research to provide qualitative suggestions to improve college education. This paper analyzed 47,177courses (100%) from spring semester of 2005 to fall semester of 2014 for 10 years at a university located at metropolitan city in mid area of South Korea. Based on the related literature review, this study selected important evaluation factors such as class size, course classification, course open student year, academic area of course specialty, lecture type, course grading system, faculty status, and faculty position. From the results, the persistent factors are course by student year, class size, course classification, and non persistent factors are normative vs. relative course grading system, course open department, faculty status and position. This study suggested that qualitative comments data could be also analyzed using big data analysis techniques such as text mining and data mining, and provide authentic suggestions to improve individual faculty lecture quality and finally college education overall.

목차

Abstract
 1. Introduction
 2. Literature Review
 3. Research Method
 4. Results
  4.1. Analyses of Course and Faculty Factors
  4.2. Longitudinal Course and Faculty Factors
 5. Conclusions
 References

키워드

저자

• Min-Woo Nam [ Mokwon University, Daejeon, Korea ]
• Eun-Soon Cho [ Mokwon University, Daejeon, Korea ] corresponding Author

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Software Engineering and Its Applications

• 간기

  월간

• pISSN

  1738-9984

• 수록기간

  2008~2016

• 등재여부

  SCOPUS

• 십진분류

  KDC 505 DDC 605