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The Korean Association for the Study of English Language and Linguistics
[ Article ]
Korea Journal of English Language and Linguistics - Vol. 21, No. 0, pp.1313-1337
ISSN: 1598-1398 (Print) 2586-7474 (Online)
Print publication date 31 Jan 2021
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.

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.

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