Systematic Literature Review: Integrating Artificial Intelligence (AI) in Teaching and Learning of Language
DOI:
https://doi.org/10.37134/ajelp.vol11.1.8.2023Keywords:
artificial intelligence, improved language competency, language instruction, language acquisition, tailored learning experiencesAbstract
This article presents a comprehensive analysis of the incorporation of Artificial Intelligence (AI) in the field of language instruction and acquisition through a systematic evaluation of existing literature. The increasing prevalence of AI in diverse domains has generated significant interest in its possible utilization in the field of education. The evaluation commences by providing an overview of the methodology utilized, encompassing the search strategy, criteria for inclusion and exclusion, and the process of extracting data. An exhaustive examination of the chosen research uncovers fundamental patterns associated with the incorporation of artificial intelligence in language teaching. The aforementioned topics incorporate the advantages of artificial intelligence (AI) in language learning, including tailored learning experiences, improved language competency through AI-driven tools, heightened student motivation and involvement, immediate feedback and evaluation, and access to genuine language data and resources. Nevertheless, the review acknowledges the obstacles and constraints linked to AI in language teaching, encompassing ethical implications, apprehensions regarding job displacement, and the dependability of AI instruments. The review highlights the deficiencies in existing research and proposes avenues for future investigation, providing valuable perspectives on the possible influence of AI on language instruction and acquisition, and advising policymakers and educators on appropriate methods of integration.
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