The Korean Association for the Study of English Language and Linguistics

Korean Journal of English Language and Linguistics - Vol. 21
[Paper List] [Goto Volume List]

[ Article ]
Korea Journal of English Language and Linguistics - Vol. 21, No. 0, pp. 1313-1337
Abbreviation: KASELL
ISSN: 1598-1398 (Print) 2586-7474 (Online)
Received 25 Nov 2021 Revised 21 Dec 2021 Accepted 27 Dec 2021
DOI: https://doi.org/10.15738/kjell.21..202112.1313

AI 활용 영어 교수 및 학습 연구 동향
권은영
육군사관학교

Research trends in AI-based English language teaching and learning
Eun-Young Kwon
Associate Professor, Dept. of English, Korea Military Academy, Tel: 02) 2197-2641 (eykwon@mnd.go.kr)

© 2021 KASELL All rights reserved
This is an open-access article distributed under the terms of the Creative Commons License, which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
Funding Information ▼
Abstract

This study aims to examine the research trends in AI-based English language teaching and learning using semantic network analysis. For this purpose, data were collected from domestic theses as well as academic journals available on Research Information Sharing Service (RISS). Then keywords from the English abstract of the studies were extracted and analyzed via text mining. The study revealed that (1) both domestic and academic papers have surged since 2019; (2) in the case of domestic academic papers, ‘machine translation’ was ranked higher than ‘chatbot’ in 2016―2018, but in 2019—2021.9, ‘chatbot’ was more frequently mentioned than ‘machine translation’; and (3) 'writing' was the most mentioned language domain in both domestic and academic papers. Pedagogical implications are provided.

Keywords: AI, English education, research trends, big data analysis, text mining, semantic network analysis
Acknowledgments

This work was supported by 2021 research fund of Korea Military Academy.

References
1. 강진구·이기성(Kang, J. and G. Lee). 2019. 텍스트 마이닝(Text Mining)을 통해 본 제주 예맨 난민: 네이버 뉴스 댓글을 중심으로(A study on Yemeni refugees in Jeju Island viewed through text-mining: Focusing on Naver News comment).《다문화콘텐츠연구》(Journal of Multi-Cultural Contents Studies) 30, 103-135.
2. 권은영(Kwon, E.-Y.). 2020. 파이썬과 텍스트 마이닝을 활용한 ESP 연구 동향분석(A study of research trends in ESP using python and text mining).《외국어교육》(Foreign Languages Education) 27-2, 111-139.
3. 김민지·염지윤·정혜원·임철일(Kim, M., J. Yeom, H. Jung and C. Lim). 2021. 인공지능 챗봇의 교육적 활용 연구 동향분석: 활동이론을 중심으로(A review of research on artificial intelligence chatbot in education through the lens of activity theory).《교육정보미디어연구》(Journal of Korean Association for Educational Information and Media) 27-2, 699-721.
4. 김성애(Kim, S.). 2021. 토픽 모델링을 활용한 초·중등 인공지능 교육 관련 연구 동향분석에 따른 기술교육의 방향과 과제(Research trends in elementary and secondary school artificial intelligence education using topic modeling and problems in technology education)《한국기술교육학회지》(The Korean Journal of Technology Education) 21-1, 106-124.
5. 김성희·신정아(Kim, S and J. Shin). 2021. AI 활용 영어교육에 대한 초·중·고 영어(담당)교사의 인식(Elementary, middle, and high school English teachers’ perceptions toward English education using AI)《외국어교육연구》(Foreign Language Education Research) 35-1, 131-146.
6. 김용학(Kim, Y.). 2016.『사회연결망 분석』(Social Network Analysis). 서울: 김영사(Seoul: Gimmyoung).
7. Schwab, K. 2016.『클라우스 슈밥의 제4차 산업혁명 (송경진 역)』(The Fourth Industrial Revolution.). 서울: 새로운 현재(Seoul: New Present).
8. 김인옥(Kim, I.). 2020. 디지털 교과서 및 번역기 활용 쓰기 활동이 6학년 학생들의 영어 쓰기 및 자기 주도적 학습 태도에 미치는 영향(Effects of using an English digital textbook and a translator on EFL students’ writing skills and learning attitudes)《초등영어교육》 (Primary English Education) 26-2, 157-177.
9. 김재우·김동진(Kim, J. and D. Kim). 2019. 텍스트 마이닝을 활용한 사회과 연구 동향분석: 2000년대 이후의 학술논문을 중심으로(A study on the research trends of social studies using text mining: Focused on academic papers after 2000)《시민교육연구》(Theory and Research in Citizenship Education) 51-2, 35-70.
10. 김혜영·신동광·양혜진·이장호(Kim, H., D. Shin, H. Yang and J. Lee). 2019. 영어 교과 보조 도구로서의 AI 챗봇 분석 연구(A study of AI chatbot as an assistant tool for school English curriculum)《학습자중심교과교육연구》(The Journal of Learner-Centered Curriculum and Instruction) 19-1, 89-110.
11. 김홍정·이상원·정석훈·탁현수(Kim, H., S. Lee, S. Jung and H. Tak). 2020. 과학관 챗봇 도슨트 개발을 위한 구조화된 시나리오의 틀 연구(The study of framework of structural scenarios for chatbot docent in science centers and museums)《한국융합학회논문지》 (Journal of the Korea Convergence Society) 11-11, 115-121.
12. 박선호·최희경(Park, S. and H. Choi). 2020. 코로나 19 시대의 비대면 온라인 교육에 대한 초등영어교사들의 목소리(Voices of elementary English teachers on non-face-to-face online education in the era of COVID-19)《문화교류와 다문화교육》(Cultural Exchange and Multicultural Education) 9-4, 273-295.
13. 박옥수(Park, O.). 2017. 한영 기계번역에서 ST의 유형적 특징에 따른 번역 오류 분석(Error analysis according to the typological characteristics of source text in Korean-English machine translation)《동아인문학》(Dongainmunhak) 0-4, 155-183.
14. 방성원(Bang, S.). 2021. 온라인 한국어 교육 관련 연구 동향분석: 토픽 모델링과 언어 네트워크 분석을 중심으로(Analysis of research trends on online Korean language education: Using topic modeling and semantic network analysis)《한국언어문화학》(JournalJournal of the International Network for Korean Language and Culture) 18-1, 1-13.
15. 서정은(Seo, J.). 2017. 인공지능 음성인식 시스템 기반 유아 영어학습 사례연구(A Case Study of Early Childhood English Learning based on Artificial Intelligence Voice Recognition System). 중앙대학교 대학원 석사학위 논문(Master’s thesis, Chung-Ang University, Seoul, Korea).
16. 신화수(Shin, H.). 2019. 2019년은 첫째도, 둘째도, 셋째도 AI. IT조선: http://it.chosun.com/site/data/html_dir/2019/12/30/2019123001634.html에서 검색함.
17. 안종배(Ahn, J.). 2017. 4차산업혁명에서의 교육 패러다임의 변화(The change of educational paradigm in the fourth industrial revolution)《미디어와 교육》(Media & Education) 7-1, 21-34.
18. 양혜진·김혜영·신동광·이장호(Yang, H., J. Park, D. Shin and J. Lee). 2019. 인공지능 음성챗봇 기반 초등학교 영어 말하기 수업 연구(A study on adopting AI-based chatbot in elementary English-speaking classes)《멀티미디어 언어교육》(Multimedia Assisted Language Learning) 20-1, 184-205.
19. 안지은·박지현(Ahn, J and J. Park). 2020. 코로나 19와 온라인 기반 영어매개강의: 경영대학 전공 수업 사례연구(Online English-medium instruction: A case study of a business course at university during the COVID-19 pandemic)《외국어교육연구》(Foreign Language Education Research) 34-4, 81-109.
20. 우유란, 이중정, 이소현(Woo, Y., C. Lee and S.-H. Lee). 2020. 이커머스 유료회원제 가입자/비가입자 주요 이슈 비교: 텍스트 마이닝 기법 활용(A comparative analysis of E-commerce issues between customers with and without paid membership: Using text mining technique)《인터넷전자상거래연구》(The Journal of Internet Electronic Research) 20-2, 107-125.
21. 윤택남·이승복(Yoon, T. and S. Lee). 2021. 인공지능 기반 말하기 학습이 초등영어학습자들의 정의적 특성과 학습 만족도에 미치는 영향(Effects of primary ELLs’ affective factors and satisfaction through AI-based speaking activity)《한국콘텐츠학회논문지》(The Korea Contents Society) 21-9, 34-41.
22. 윤택남·정진경(Yoon, T. and J. Jung). 2021. 인공지능 활용 교육에 대한 한국인영어교사와 원어민영어교사 간 인식비교 연구(A comparative study of recognition on AI-embedded instruction between Korean English teachers and non-Korean English teachers)《언어학 연구》(Studies in Linguistics) 0-58, 295-319.
23. 이동한(Lee, D.). 2018. 인공지능을 활용한 영어학습용 챗봇 시스템 개발 방안 연구(A study for the development of an English learning chatbot system based on Artificial Intelligence)《중등영어교육》 (Secondary English Education) 11-1, 45-68.
24. 이수상(Lee, S.). 2014. 언어 네트워크 분석방법을 활용한 학술논문의 내용분석(A content analysis of journal articles using the language network analysis methods)《정보관계학회지》(Journal of the Korean Society for Information Management) 31-4, 49-68.
25. 이승민·한정혜(Lee, S. and J. Han). 2009. 초등학교 영어교육용 로봇 콘텐츠 개발 및 적용(Development of the contents of a robot for elementary English education and its application)《영어교과교육》(Journal of the Korea English Education Society) 8-2, 97-119.
26. 이윤아·곽승주·강유선(Lee, Y., S. Gawk and Y. Kang). 2018. 유아교육 기관 평가에 관한 연구 동향 분석: 2007-2017년 국내 학위논문 및 학술지를 중심으로(Analysis of research trends on assessment of early childhood education institute: With focus on the 2007-2017 domestic theses & academic journals)《한국유아교육연구》(Korean Journal of Early Childhood Education Research) 20-3, 109-132.
27. 이현주(Lee, H.). 2020. 인공지능(AI)을 활용한 국내 영어학습에 대한 체계적 문헌 고찰: 대학교육을 중심으로(A systematic review of Artificial Intelligence use in English learning: Focus on higher education)《인문사회 21》(The Journal of Humanities and Social science 21) 11-6, 2027-2042.
28. 장정우·최경호(Jang, J.-W. and K.-H. Choi). 2012. 언어 네트워크 분석을 이용한 통계법 내용분석 통계연구(Statistics act content analysis using semantic network analysis)《통계연구》(Journal of the Korean Official Statistics) 17-2, 53-66.
29. 장진아·박준형·박지선(Jang, J., J. Park and J. Park). 2021. 인공지능 챗봇 관련 국내 연구 동향 및 챗봇 활용 현황 분석: 과학 교육에서의 활용을 위한 시사점을 중심으로(An analysis on the trends of education research related to ‘Artificial Intelligence chatbot’ in Korea: Focusing on implications for use in science education)《학습자중심교과교육연구》(The Journal of Learner-Centered Curriculum and Instruction) 21-13, 729-743.
30. 전혜리·이상민·박일이(Jeon, H., S. Lee and I. Park). 2021. 영어교육에서의 AI 활용 연구에 대한 체계적 문헌 고찰(A systematic review of AI technology use in English education)《멀티미디어언어교육》(Multimedia Assisted Language Learning) 24-1, 87-103.
31. 차수미·김정렬·남승우(Cha, S., J. Kim and S. Nam). 2021. 영어교육 관련 AI 챗봇 연구 논문의 동향 분석(Research trend analysis of AI chatbot in English education)《영어교과교육》(Journal of the Korea English Education Society) 20-1, 203-225.
32. 최규환(Choi, K.). 2003. 관광학술지 연구논문에 관한 내용분석(A content analysis of articles published in journal of tourism and leisure research)《관광·레저연구》(Journal of Tourism and Leisure Research) 15(1), 11-29.
33. 최상희·이재윤(Choi, S. and J. Lee). 2012. 문서 클러스터링을 위한 학술지 논문의 구조적 초록 활용성 연구(Usability analysis of structured abstracts in journal articles for document clustering)《정보관리학회지》(Journal of Korean Society for Information Management) 29-1, 331-349.
34. 한다은(Han, D.). 2021. 다이얼로그 플로우를 활용한 대화형 AI 챗봇 제작 및 초등영어 수업에의 적용(A study of the development of conversational AI chatbot using Dialogflow and its application into practice in elementary English classes)《학습자중심교과교육연구》(The Journal of Learner-Centered Curriculum and Instruction) 21-17, 517-529.
35. 황서이, 황동열(Hwang, S. I. and D. R. Hwang). 2018. 토픽 모델링과 의미연결망 분석을 통한 예술경영 연구 동향분석(A Study on the research trends in arts management in Korea using topic modeling and semantic network analysis)《예술경영연구》(Journal of Arts management and Policy) 48, 5-29.
36. 황요한(Hwang, Y.). 2021. 영어교육을 위한 인공지능(AI) 스피커의 활용과 교육적 가치에 관한 연구(A study on the educational effectiveness and potential of using an AI speaker for English education)《영어영문학연구》(Studies on English Language & Literature) 47-1, 225-251.
37. Chakraborty, G., M. Pogolu and S. Garla. 2014. Text mining and analysis: Practical methods, examples, and case studies using SAS. Cary, NC: SAS Institute Inc.
38. Cheong, S.-H., and T.-W., Si. 2016. Accelerating the Kamada-Kawai algorithm for boundary detection in a mobile ad hoc network. ACM Trans. Sen. Netw 13-1, 29.
39. Kamada, T. and S. Kawai. 1989. An algorithm for drawing general undirected graphs. Information Processing Letters 31, 7-15.
40. Kim, H. S., Y. Cha and N. Kim. 2021. Effects of AI chatbots on EFL students’ communication skills. Korean Journal of English Language and Linguistics 21, 712-734.
41. Kwon, E.-Y. 2019. Public perception of ‘early English education’ through an analysis of social media big data: focusing on YouTube. Journal of English Language and Linguistics 19-4, 858-879.
42. Hotho, A., A. Nürnberger and G. Paaß. 2005. A brief survey of text mining. In Ldc Forum 20-1, 19-62.
43. Schwab, K. 2016.『클라우스 슈밥의 제4차 산업혁명 (송경진 역)』(The Fourth Industrial Revolution.). 서울: 새로운 현재(Seoul: New Present).
44. Tylor, C. R. 2005. Moving international advertising research forward: A new research agenda. Journal of Advertising 34-1, 7-16.
45. Yang, H. and H. Kim. 2021. Development and application of AI chatbot for cabin crews. Journal of English Language and Linguistics 21, 1085-1104.