THE ROLE OF ARTIFICIAL INTELLIGENCE IN LEARNING ENGLISH: CHALLENGES AND SOLUTIONS

In the context of rapid global transformations in information technologies, artificial intelligence (AI) has emerged as a key driver of innovation across multiple sectors, including education. This paper examines the role of AI in English language learning, focusing on its transformative impact, associated challenges, and scientifically grounded solutions. The study highlights issues such as contextual misunderstanding, data quality limitations, reduced human interaction, ethical concerns, and technological constraints. In response, a set of methodological and technological solutions is proposed, including hybrid AI models, adaptive learning algorithms, and blended learning frameworks. The scientific novelty of the research lies in the development of an integrated approach that combines AI-driven personalization with pedagogical and ethical considerations to enhance learning effectiveness.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-05-08
DOI
https://doi.org/10.5281/zenodo.20079305
Primary Topic
Technology-Enhanced Education Studies
Type
article
Field-Weighted Citation Impact
0.00
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article

THE ROLE OF ARTIFICIAL INTELLIGENCE IN LEARNING ENGLISH: CHALLENGES AND SOLUTIONS

Niyazova Mokhichekhra Khayatovna, Ismatova Shahrizoda Shuhrat qizi
Zenodo (CERN European Organization for Nuclear Research)
Technology-Enhanced Education Studies
article

THE ROLE OF ARTIFICIAL INTELLIGENCE IN LEARNING ENGLISH: CHALLENGES AND SOLUTIONS

Niyazova Mokhichekhra Khayatovna, Ismatova Shahrizoda Shuhrat qizi
article en

Abstract

In the context of rapid global transformations in information technologies, artificial intelligence (AI) has emerged as a key driver of innovation across multiple sectors, including education. This paper examines the role of AI in English language learning, focusing on its transformative impact, associated challenges, and scientifically grounded solutions. The study highlights issues such as contextual misunderstanding, data quality limitations, reduced human interaction, ethical concerns, and technological constraints. In response, a set of methodological and technological solutions is proposed, including hybrid AI models, adaptive learning algorithms, and blended learning frameworks. The scientific novelty of the research lies in the development of an integrated approach that combines AI-driven personalization with pedagogical and ethical considerations to enhance learning effectiveness.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 3%
Technology-Enhanced Education Studies
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