텍스트 네트워크 분석을 활용한 대학 교양영어 연구주제 분석
Topic analysis in college English education in Korea using text network analysis
0
조회
0
다운로드
5
인용
0
참고문헌
키워드
초록
The purpose of this study was to investigate the research topics of college English education in Korea from 2001 to 2020. The data was collected using a Biblio data collector and the English titles and English abstracts of a total of 300 papers were analyzed using the data-mining software, Netminer. The methodology is based on three phases: (a) Frequency analysis, (b) Centrality analysis, and (c) Text network analysis. The summary of the findings is as follows: In the 2001-2020 period, the key words that appeared most were ‘questionnaire’, ‘course’, ‘program’, ‘level-differentiated’, ‘test,’ ‘learners’ satisfaction’ and ‘professors.’ The result of the centrality analysis revealed that the key words listed above also had high value in the degree centrality, closeness centrality and betweenness centrality. The network and modularity analysis showed that the network can be divided into 8 groups. Among those groups, Group 8, which included key words such as ‘attitude’, ‘motivation’, ‘perception’, ‘learners’ satisfaction’, ‘teaching method’, ‘activity’, and ‘classroom’ had the networks with high modularity. Additionally, the key words that are related to learners’ affective factors such as ‘perception’, ‘motivation’, ‘attitude’ and ‘learners’ satisfaction’ have appeared more frequently between 2011 and 2020, than 2001 to 2010.
Abstract
The purpose of this study was to investigate the research topics of college English education in Korea from 2001 to 2020. The data was collected using a Biblio data collector and the English titles and English abstracts of a total of 300 papers were analyzed using the data-mining software, Netminer. The methodology is based on three phases: (a) Frequency analysis, (b) Centrality analysis, and (c) Text network analysis. The summary of the findings is as follows: In the 2001-2020 period, the key words that appeared most were ‘questionnaire’, ‘course’, ‘program’, ‘level-differentiated’, ‘test,’ ‘learners’ satisfaction’ and ‘professors.’ The result of the centrality analysis revealed that the key words listed above also had high value in the degree centrality, closeness centrality and betweenness centrality. The network and modularity analysis showed that the network can be divided into 8 groups. Among those groups, Group 8, which included key words such as ‘attitude’, ‘motivation’, ‘perception’, ‘learners’ satisfaction’, ‘teaching method’, ‘activity’, and ‘classroom’ had the networks with high modularity. Additionally, the key words that are related to learners’ affective factors such as ‘perception’, ‘motivation’, ‘attitude’ and ‘learners’ satisfaction’ have appeared more frequently between 2011 and 2020, than 2001 to 2010.
참고문헌 (28)
- 김성혜, "대학교양영어 프로그램의 운영현황", 현대영어교육, 14(2), pp.263~290 (2013), 현대영어교육학회
- 김용학, "사회 연결망 분석" (2019), 박영사
- 김유정, "키워드 네트워크 분석을 활용한 유아수학에 대한 연구동향 분석", 학습자중심교과교육연구, 20(6), pp.231~261 (2020), 학습자중심교과교육학회[DOI]
- 박은희, "텍스트 마이닝을 활용한 영어 쓰기교육 연구동향 분석", 응용언어학, 37(3), pp.95~122 (2021), 한국응용언어학회
- 방영주, "영어능력 인증제, 능력별 교과과정, 그리고 대학 교양영어 교육: 학생과 교사의 인식에 대한 고찰", 영어어문교육, 9(3), pp.193~211 (2004), 한국영어어문교육학회
- 방영주, "효율적인 대학 교양영어교육의 방향 및 제언", 현대영어교육, 15(4), pp.221~245 (2014), 현대영어교육학회
- 배두본, "영어교육학 총론" (2002), 한신문화사
- 성명희, "교양영어교육에 관한 학생 요구 조사:보건 계열 특성화 대학의 사례를 중심으로", 현대영어교육, 8(3), pp.318~340 (2007), 현대영어교육학회
- 손복은, "텍스트 네트워크 분석을 활용한 교양교육 질 개선 연구 동향 분석", 교양교육연구, 14(5), pp.97~108 (2020), 한국교양교육학회[DOI]
- 송미정, "대학 교양영어 교육의 통합적 접근: 서울대학교 대학영어 프로그램의 사례 연구", 영어교육, 59(2), pp.179~212 (2004), 한국영어교육학회
- 신유선, "키워드 네트워크 분석을 활용한 영어교육관련 연구 동향 분석: 2000-2019년도까지 「영어교육연구」에 게재된 논문을 중심으로", 영어교육연구, 32(4), pp.205~224 (2020), 팬코리아영어교육학회[DOI]
- 원용국, "토픽 모델링을 활용한 한국 영어교육 학술지에 나타난 연구동향 분석", 한국콘텐츠학회 논문지, 21(4), pp.50~59 (2021), 한국콘텐츠학회[DOI]
- 이연숙, "대학 영어 프로그램에 대한 선행연구 분석과 앞으로의 연구방향- 프로그램 평가의 시각에서", 언어과학연구, (70), pp.353~384 (2014), 언어과학회
- 이효웅, "교양영어교육의 문제점과 개선 방향", 영어교육연구, 5(1), pp.105~129 (1996), 팬코리아영어교육학회
- 임수민, "주제어 네트워크 분석을 통한 『교양교육연구』 동향 분석", 교양교육연구, 14(1), pp.11~32 (2020), 한국교양교육학회
- 조정순, "대학 교양영어 교육의 현황과 방향성 탐구", 영어교육, 57(2), pp.365~394 (2002), 한국영어교육학회
- 조성준, "세상을 읽는 새로운 언어, 빅데이터" (2019), 21세기북스
- 최강식, "대학교육의 가치와 교양교육의 중요성 －경제적 접근", 교양교육연구, 15(4), pp.11~21 (2021), 한국교양교육학회
- 하근희, "소셜 네트워크 분석을 활용한 초등국어교육 연구 동향 분석", 우리말교육현장연구, 15(1), pp.7~39 (2021), 우리말교육현장학회[DOI]
- 하명애, "대학 교양영어에 대한 연구 동향 분석", 언어연구, 33(3), pp.453~476 (2017), 한국현대언어학회[DOI]
- 황서연, "키워드 네트워크 분석을 통한 국내 북한 영어교육 연구 동향 분석", 학습자중심교과교육연구, 19(18), pp.95~120 (2019), 학습자중심교과교육학회[DOI]
- Goldin, C., "The race between education and technology" (2008), The Belknap Press of Harvard University Press
- Kamada, T., "An algorithm for drawing general undirected graphs", Information Processing Letters, 31(1), pp.7~15 (1989)
- Krueger, D., "US-Europe differences in technology-driven growth : Quantifying the role of education", Journal of Monetary Economics, 51, pp.161~190 (2004)
- Moreno, J. L., "Who shall survive?: A new approach to the problem of human interrelations" (1934), Nervous and Mental Disease Publishing Co
- Moreno, J. L., "Application of the group method to classification" (1932), National Committee on Prisons and Prison Labor
- Newman, M. E., "Modularity and community structure in networks", Proceedings of the National Academy of Sciences, 103(23), pp.8577~8582 (2006)
- Schultz, T. W., "The value of ability to deal with the disequilibria", Journal of Economic Literature, 13(3), pp.827~846 (1975)