THE METHODOLOGY OF LANGUAGE LEARNING THROUGH ARTIFICIAL INTELLIGENCE

THE METHODOLOGY OF LANGUAGE LEARNING THROUGH ARTIFICIAL INTELLIGENCE

Authors

  • Rustamova Jamila Oriental University Foreign Philology faculty Western department Senior teacher

Keywords:

Artificial Intelligence, language learning, aI-powered learning, personalized learning, adaptive algorithms, natural language processing (NLP),intelligent tutoring systems (ITS),cognitive science, language acquisition, spaced repetition, augmented reality (AR),virtual reality (VR),educational technology, machine learning, language pedagogy.

Abstract

This article explores the methodology of language learning through Artificial Intelligence (AI), highlighting how AI technologies such as personalized learning platforms, adaptive algorithms, and natural language processing (NLP) enhance traditional language acquisition techniques. The paper delves into the role of AI in creating customized, efficient learning experiences, improving language retention, and aligning with cognitive principles like spaced repetition and cognitive load management. It also addresses the potential future of AI in language learning, including the integration of augmented reality (AR) and virtual reality (VR) for immersive language experiences.

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Published

2024-12-01

How to Cite

Rustamova Jamila. (2024). THE METHODOLOGY OF LANGUAGE LEARNING THROUGH ARTIFICIAL INTELLIGENCE. IMRAS, 7(12), 184–188. Retrieved from https://journal.imras.org/index.php/sps/article/view/1975

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