AI 활용 영어 교수 및 학습 연구 동향

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...

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Bibliographic Details
Published in영어학 Vol. 21; pp. 1313 - 1337
Main Author 권은영(Eun-Young Kwon)
Format Journal Article
LanguageKorean
Published 한국영어학회 01.12.2021
Subjects
영어와문학
AI
text mining
English education
semantic network analysis
research trends
big data analysis
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ISSN1598-1398
2586-7474
DOI10.15738/kjell.21..202112.1313

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Summary: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. KCI Citation Count: 3
ISSN:1598-1398
2586-7474
DOI:10.15738/kjell.21..202112.1313