포스트 코로나 시대의 국내·외 영어교육 연구동향 분석: 키워드 네트워크 분석 및 토픽 모델링 활용

• 영문명: Analysis of domestic and international trends in English education research in the post-COVID-19 era: Utilizing keyword network analysis and topic modeling
• 발행기관: 팬코리아영어교육학회(구 영남영어교육학회)
• 저자명: 김성희(Sunghee Kim) 안혜성(Hyeseong Ahn) 조윤경(Yunkyoung Cho)
• 간행물 정보: 『영어교육연구』제36권 3호, 51~73쪽, 전체 23쪽
• 주제분류: 사회과학 > 교육학
• 파일형태: PDF
• 발행일자: 2024.09.30

국문 초록

This study investigates post-COVID-19 trends in English education research through keyword network analysis and topic modeling. It analyzes 543 domestic articles from the Korean Citation Index (KCI) and 402 international articles from SPRINGER, published between 2020 and 2024. The research uses tools like NetMiner 4.4.8 for network analysis and Biblio Data Collector for data collection. Word cloud and keyword frequency analyses identify central themes and methodologies. Findings reveal that domestic research focuses on program development, textbook creation, and learner perceptions, while international studies emphasize higher education, technology integration, and policy development. Both domains highlight the importance of digital literacy and online learning. Network analysis identifies core topics and their interrelationships, with centrality measures indicating ‘method’, ‘development’ and ‘practice’ as pivotal. Domestic studies frequently feature ‘program’ and ‘textbook’, while international research often includes ‘university’ and ‘technology’. The study underscores the need for digital literacy education and innovative technologies, providing insights into the evolving landscape of English education research. Additionally, increased frequency of keywords like ‘AI’ and ‘curriculum’indicates growing interest in integrating artificial intelligence and revising curricula to meet new challenges. This comprehensive analysis offers a foundation for enhancing English education practices globally.

목차

Ⅰ. 서 론

Ⅱ. 연구배경 및 선행연구

Ⅲ. 연구 방법

Ⅳ. 연구 결과

Ⅴ. 결론 및 제언

참고문헌

키워드

네트워크 분석 토픽 모델링 연구동향 영어교육 포스트 코로나 network analysis topic modeling research trend English education post-COVID-19 era

참고문헌

• 영어교육
• 응용언어학
• 한국교육학연구
• 영어교육연구
• 교육논총
• 한국콘텐츠학회논문지
• 영어교육
• 언어연구
• Journal of Research and Innovation in Language
• Interactive Learning Environments
• Journal of English Teaching, Literature, and Applied Linguistics
• Front. Educ
• Information and Learner Science
• Studies in English Education
• Journal of Computer Assisted Learning
• The Journal of the Acoustical Society of America
• Communications of the ACM
• Journal of Machine Learning Research
• Computers & Education
• Language Learning & Technology
• English Language Teaching Journal
• Publications Office of the European Union
• Journal of Information Technology Education: Research
• Sociometry
• Social Networks
• Computer Assisted Language Learning
• Sociological Methodology
• Educational Technology & Society
• Studies in the Education of Adults
• Journal of Language Teaching and Research
• Journal of Innovation in Language Learning and Teaching
• Korean Journal of Journalism & Communication Studies
• TESOL Quarterly
• Psychometrika