Artificial Intelligence Supported Language Learning: A Systematic Review
Abstract
Several recent advancements have been made in the field of artificial intelligence (AI) language learning. Given the widespread adoption and enabling power of immersive technologies, as well as the potential applications of Artificial Intelligence Supported Language Learning (AISLL), it is critical to continuously investigate the literature to identify trends and practices in language education research. Of the 89 publications located between 2021 and 2023, 10 were selected based on the criteria for inclusion and exclusion from WoS and Scopus. Using five codes obtained from earlier systematic reviews, the researcher conducted an analysis and synthesis of these studies. The codes were as follows: 1) aim, 2) methodology, 3) sample, 4) country, and 5) outcomes. The systematic review revealed several key trends in AISLL. It was found that universities were the predominant setting for AISLL research, with most studies employing quantitative research methods. The methodologies varied widely, with emphasis on experimental and quasi-experimental designs. The countries represented in the studies were diverse, yet there was a concentration in technologically advanced regions. Significant outcomes reported include improved student performance and positive attitudes toward AI tools in language learning. To better understand AI utilization in language teaching and learning, academics are urged to broaden the scope of future studies and involve students at all educational levels in future AISLL practices.
Keywords
References
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DOI: https://doi.org/10.18860/ijazarabi.v9i1.35426
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