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Artificial Intelligence in Language Classrooms: Improving Engagement and Outcomes

Igor PorubayGulnara TashmatovaFergana State University,Department of English Philology,Fergana,UzbekistanShahnoza AkhmadjonovaFergana State University,Department of English Philology,Fergana,UzbekistanMokhigul UktamovaFergana State University,Department of English Philology,Fergana,UzbekistanSarvarbek KuzievFergana State University,Department of English Philology,Fergana,UzbekistanMirjalol Mirzaakhmedov
2024en
ABI

Аннотация

Near the end of this millennium when technology has taken over every aspect of human life, we look through how Artificial Intelligence (AI) as a developing technological advancement can potentially revolutionize our language classrooms by means and modes yet to be analyzed in discrete. The research namely focuses on whether use of such approach attracts more student participation leading to better learning outcomes. AI, particularly in the educational technology space is coming to solve longstanding challenges within language education using new mechanisms and approaches that have never been seen before. In this paper I examine the potential to use of AI (intelligent tutoring systems, natural language processing tools and adaptive learning platforms) in order to introduce dynamism at scale by creating experience centric-active features that are more dynamic within a personalized settings providing higher interactive efficiency with various interactives within different aspects related to language learning. Part 1: The present ( recent advances in AI and their application in education, And how these might relate to language learning) For example, when intelligent tutoring systems that tailor their response to the rate at which a student learns are used to deliver individualised feedback and guidance, far more time is spent by students engaging with material. More classroom instruction within an educational setting that responds instantly to educator time limitations is made possible by these conversations tools, which could involve chatbots, Automatic Essay scoring systems, and natural language processing (NLP) tools (Brant & Paul 2017).

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