An Investigation into Artificial Intelligence (AI) in the English as a Foreign Language (EFL) Context

Using data from Bibliometrix and Web of Science, this study examined articles in the subject of language and linguistics that dealt with artificial intelligence (AI). The study used bibliometrics to uncover historical trends in AI in EFL. The study utilized Biblioshiny, a web-based tool in the bibliometrix package that analyses bibliographic database data, to examine downloaded Web of Science (WoS) data. The Bibliometrix R Package and Biblioshiny software created tables and graphs. The study searched the WoS website for studies with "Artificial Intelligence (AI)" in the title, abstract, and keywords to find bibliographic data. From 2013 to 2023, WoS focused on Language and Linguistics in Language Education. There were 1693 EFL AI papers. The study chose open-access publications to read the entire text. The present analysis examined 177 publications. Different bibliometric analysis techniques were employed to get the most usable data from research publications. Authors, publishing years, universities, countries, preferred journals, trendy topics, and keyword citation rates were all considered in the analysis. Findings showed an increase in publications over time and a growing interest in AI. Leading universities and prominent authors were identified. Depending on the country, different levels of engagement were observed. The distribution of data was provided via preferred journals. This study helps researchers and decision-makers evaluate AI research in language and linguistics.

Keywords:

Bibliometrics, Web of Science (WoS), Artificial Intelligence Teaching English as a Second Language, Machine learning,

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