ARTIFICIAL INTELLIGENCE TECHNOLOGIES IN TEACHING ENGLISH: OPPORTUNITIES, CHALLENGES, AND DEVELOPMENT PROSPECTS
DOI:
https://doi.org/10.63034/esr-721Keywords:
artificial intelligence, English language teaching, adaptive learning, neural networks, Natural Language Processing (NLP), Neural Networks, Large Language Models (LLM), language skills, digital education, multimodal learning, academic writingAbstract
This article examines the theoretical foundations and practical possibilities of using artificial intelligence technologies in teaching English. The study analyzes the operating principles of neural networks (LLM, NLP, ASR, TTS) and highlights their impact on the development of writing, speaking, listening, and reading skills. The author proposes a hybrid learning model that integrates artificial intelligence with traditional pedagogy and demonstrates its effectiveness through experimental data. In addition, the ethical and pedagogical limitations of using AI are discussed, and future development prospects are suggested.
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Copyright (c) 2026 Egeubaeva Aiganim Shakratovna
This work is licensed under a Creative Commons Attribution 4.0 International License.
