An Informetric Analysis of Topics in University's General Education

대학 교양교육 주제영역의 계량적 분석연구

  • 최상희 (대구가톨릭대학교 도서관학과)
  • Received : 2015.11.30
  • Accepted : 2015.12.11
  • Published : 2015.12.30


As the topics of general education in universities become more diverse, it is not an easy task to identify the topics of general education courses. This study aims to identify and visualize the topics of A university's general education courses using informetric analysis methods. 214 syllabi were collected and titles, course introduction, goals, and weekly plans were analyzed. 278 topic words were extracted from the data set and grouped into 8 clusters. In the network analysis, topic clusters were divided into two areas, personal and social. Personal area has 14 sub-topic clusters and social area has 11 sub-topic clusters. In personal area, 'language', 'science', and 'personality' were major topic clusters. In social area, 'multi-culture' cluster was the core cluster with connected to four other clusters. The topic network generated in this study can be used for the university and the university library to enhance general education or to develop collections for general education.


university;general education;topics;co-word;informetirc analysis


Supported by : 대구가톨릭대학교


  1. 강범일, 박지홍. 2013. 프로파일링 분석과 동시출현단어분석을 이용한 한국어교육학의 정체성분석. 정보관리학회지, 30(4): 195-213.(Kang, Bumil and Jihong Park. 2013. "Profiling and co-word analysis of teaching Korean asa foreign language domain." Journal of the Korean Society for Information Management,30(4): 195-213.)
  2. 김판준. 2011. 저자 프로파일링 기법을 이용한 국내 독서 연구 영역 분석. 한국비블리아학회지, 22(4): 21-44.(Kim, Pan Jun. 2011. "Domain Analysis of Reading Research in Korea using Author Profiling."Journal of the Korean Biblia Society For Library And Information Science, 22(4), 21-44.)
  3. 김하진, 송민. 2014. 동시출현단어 분석을 통한 국내외 정보학 학회지 연구동향 파악. 정보관리학회지, 31(1): 99-118.(Kim, Ha Jin and Min Song. 2014. "A study on the research trends in domestic/ internationalinformation science articles by co-word analysis." Journal of the Korean Society forInformation Management, 31(1): 99-118.)
  4. 김현주. 2011. 인문교양교육과 독서토론. 교양교육연구, 5(1): 229-261.(Kim, Hyun-Ju. 2011. "A Liberal Arts Education of Humanities and Reading Discussion." KoreanJournal of General Education, 5(1): 229-261.)
  5. 김희정. 2011. 네트워크 분석을 기반으로 한 웹 아카이빙 주제영역 연구. 한국비블리아학회지, 22(2): 235-248.(Kim, Hee-Jung. 2011. "A Study on Web Archiving Subject Analysis Based on Network Analysis."Journal of the Korean Biblia Society For Library And Information Science, 22(2): 235-248.)
  6. 서선경, 정은경. 2013. 동시출현단어 분석기반 오픈 액세스 분야 지적구조에 관한 연구. 한국비블리아학회지, 24(1): 207-227.(Seo, SunKyung and Eunkyung Chung. 2013. "Domain analysis on the field of open access byco-word analysis." Journal of the Korean Biblia Society For Library And InformationScience, 24(1): 207-227.)
  7. 손동현. 2009. 교양교육의 새로운 위상과 그 강화 방책. 교양교육연구, 3(2): 5-22.(Son, Dong-Hyun. 2009. "New Status of General Education and Projects for its Enrichment."Korean Journal of General Education, 3(2): 5-22.)
  8. 이숙정, 이수정. 2012. 대학 교양교육의 방향과 과제. 교양교육연구, 6(2): 11-42.(Lee, Sook-Jeong and Soo Jung Lee. 2012. "A New Direction of Undergraduate General Education:Through a Case Study of Competence-based Education." Korean Journal of GeneralEducation, 6(2): 11-42.)
  9. 이재윤. 2006a. 국내 최신 동향 파악을 위한 새로운 지적 구조 분석법. 한국정보관리학회 13회 학술대회 논문집, 145-152.(Lee, Jae-Yun. 2006a. "Towards a new method for examining current domestic intellectualstructure of knowledge domains." Proceeding of the 13th Annual Conference of KoreanSociety for Information Management, 145-152.)
  10. 이재윤. 2006b. 지적 구조 분석을 위한 새로운 클러스터링 기법에 관한 연구. 정보관리학회지, 23(4): 215-231.(Lee, Jae-Yun. 2006b. "A novel clustering method for examining and analyzing the intellectualstructure of a scholarly field." Journal of the Korean Society for Library and InformationScience, 23(4): 215-231.)
  11. 이재윤. 2013. tnet과 WNET의 가중 네트워크 중심성 지수 비교 연구. 정보관리학회지, 30(4): 241-264.(Lee, Jae-Yun. 2013. "A Comparison Study on the Weighted Network Centrality Measures oftnet and WNET." Journal of the Korean Society for Library and Information Science,30(4): 241-264.)
  12. 이희용. 2012. 한국대학의 교양교과목 개발의 실태와 방향성 고찰. 교양교육연구, 6(4): 263-292.(Lee, Hee-Yong. 2012. "Development Status of the Convergent Subject in General Educationand it's Development Direction." Korean Journal of General Education, 6(4): 263-292.)
  13. 최상기, 안인자, 노영희, 김주섭. 2013. 국내외 문헌정보학 주요교과목 강의계획서 분석을 통한 수업내용 및 방법 비교 연구. 한국문헌정보학회지, 47(2): 223-245.(Choi, Sang-Ki, In-Ja Ahn, Younghee Noh, and Ju-Sup Kim. 2013. "A Comparative Study onCurriculum Contents and Teaching Methods Based on the Syllabi of Library andInformation Science in Korea and Foreign Universities." Journal of the Korean Societyfor Library and Information Sciences, 47(2): 223-245.)
  14. 최상희. 2013. 대학도서관 서비스를 위한 서지분석기반 학과의 주제적 특성 분석 연구. 정보관리학회지, 30(1): 237-258.(Choi, Sanghee. 2013. "Bibliometric Analysis to Analyze Topic Areas of Faculty for Academiclibrary Selvice." Journal of the Korean Society for Library and Information Science,30(1): 237-258.)
  15. 최인수, 이화선, 이건희, 김선진. 2012. 국내 대학의 창의성 교과목 현황 및 내용분석. 교육과정연구, 30(2): 179-199.(Choe, In-Soo, Hwa-Sun Lee, Gun-Hee Lee, and Sun-Jin Kim. 2012. "A detailed analysis ofcreativity courses provided by prestigious Korean universities." The Journal of CurriculumStudies, 30(2): 179-199.)
  16. 허고은, 송민. 2013. 저자동시인용 분석과 동시출현단어 분석을 이용한 의료정보학 저널의 지적구조 분석. 정보관리학회지, 30(2): 207-225.(Heo, Go Eun and Min Song. 2013. "Examining the Intellectual Structure of a Medical InformaticsJournal with Author Co-citation Analysis and Co-word Analysis." Journal of the KoreanSociety for Information Management, 30(2): 207-225.)
  17. Bar-Ilan, J. 2008. "Which h-index? - A comparison of WoS, Scopus and Google Scholar." Scientometrics, 74(2): 257-271.
  18. Buter, R. K. and E. C. M. Noyons. 2002. "Using bibliometric maps to visualise term distribution in scientific papers." In Proceedings of sixth international conference on information visualisation, 697.
  19. Callon M, J. Law and A. Rip. (Eds.). 1986. Mapping the Dynamics of Science and Technology: Sociology of Science in the Real World. London, MacmillanPress.
  20. Callon, M., J. P. Courtial, W. A. Turner, and S. Bauin. 1983. "From translations to problematic networks: an introduction to co-word analysis." Social Science Information, 22: 191-235.
  21. Hrycaj, P. 2006. "An analysis of online syllabi for credit-bearing library skills courses." College & Research Libraries, 44: 193-215.
  22. Janssens, F., J. Leta, W. Glanzel, and B. Moor. 2006. "Towards mapping library and information science." Information Processing & Management, 42(6): 1614-1642.
  23. Kerr, G., C. Patti, and M. Chien. 2004. "A new discipline with an old learning approach: A syllabi analysis." In Proceeding of the Australia and New Zealand Marketing Academy Conference, Wellington.
  24. Kousha, Kayvan and Mike Thelwall. 2008. "Assessing the impact of disciplinary research on teaching: An automatic analysis of online syllabuses." Journal of the American Society for Information Science and Technology, (59)13: 2060-2069.
  25. Macain, Katherin W. 1995. "R&D themes in information science: A preliminary co-descriptor analysis." Proceedings of the 5th Biennial Conference of the International Society for Scientometrics and Informetrics. Pine Forest, Il. June 7-10: 275-282.
  26. Morris, Steven A. and Betsy Van der Veer Martens. 2008. "Mapping Research Specialties." Annual Review of Information Science and Technology. Edited by Blaise Cronin. Medford NJ: Information Today.
  27. Porter, A. L. 2005. "QTIP: quick technology intelligence processes." Technological Forecasting & Social Change, 72: 1070-1081.
  28. Schvaneveldt, R. W. (ed). 1990. Pathfinder of Associative Networks: Studies in Knowledge Organization. Norwood, Nj: Ablex.
  29. Smith, M., A. Ceni, N. Milic-Frayling, B. Shneiderman, E. Mendes Rodrigues, J. Leskovec, and C. Dunne. 2010. NodeXL: a free and open network overview, discovery and exploration add-in for Excel 2007/2010/2013/2016. Downloaded from .
  30. Stapleton, L. and W. Leite. 2005. "Teacher's corner: A review of syllabi for a sample of structural equation modeling courses." Structural Equation Modeling: A Multidisciplinary Journal, 12: 642-664.
  31. White, H. D. 2000. "Toward ego-centered citation analysis." In B. Cronin, & H.B. Atkins (Eds.). The web of knowledge: A festschrift in honor of Eugene Garfield. Medford, New Jersey: Information Today, Inc.
  32. Williams, L., S. Cody, and P. Parnell. 2004. "Prospecting for new collaboration: Mining syllabi for library service opportunities." The Journal of Academic Librarianship, 39: 270-275.