Artificial Intelligence and English Language Teaching: Review of the Research Articles from 2016 to 2020

The aim of this chapter is to review some of the most relevant research on the use of Artificial Intelligence (AI) in English language teaching published between 2016 and 2020. The literature review encompasses studies scanned through the ERIC, EBSCO, Google Scholar, Science Direct, and Scopus databases. Nineteen studies have been examined and information including the study context, methodology preferred, research goals and themes, and results are briefly summarized. Additionally, the chapter seeks to highlight key advancements and emerging trends in AI-enhanced language learning tools, such as adaptive learning platforms, intelligent tutoring systems, and natural language processing applications. Further, based on the analysis of the articles, three categories of topics of research have been identified: (a) studies on contributions of AI to the effectiveness of learning English; (b) studies on development of EFL teachers’ awareness and proficiency for using AI in teaching English; and (c) studies focused on forms of AI applications in foreign language education. Moreover, the challenges and limitations in adopting AI tools in diverse educational settings, including issues of accessibility, teacher training, and ethical considerations, are also addressed. As a result, it is hoped that this principled review provides researchers with insights into understanding the place of AI in foreign language teaching and offers useful information regarding the most recent research trends and practical implications in their area of research.