Artificial Intelligence in English Language Teaching: A Systematic Analysis of Global Trends
Use of AI in EFL Classes
Abstract
As technology develops, the studies to find out the potential integrations and implications of these technological developments in the field of English language teaching increase. Grounded on this growing interest, the identification of global trends in published research studies in reputable journals plays a critical role. It is believed that if researchers, practitioners, and educators are aware of the trends and potential gaps in the field, they could conduct more fruitful studies to implement artificial intelligence to teach and learn the English language. The present research, with a combination of systematic and descriptive bibliometric analysis, focuses on the studies indexed in the Web of Science Database with some keywords related to the topic under investigation. The created data pool for content analysis consisted of sixty-six studies, and the publication years, target population, and themes of the studies were identified. According to preliminary findings, out of 66 studies, 52 of them were published after 2023, and the top three countries were China, Iran, and the USA. The main research area of the studies is the use of AI for writing and speaking skills, with less focus on other language skills. The main findings of the studies are focused on the positive impacts of AI on language learning, especially writing and pronunciation, and the challenges faced in AI integration.
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