THEORETICAL FOUNDATIONS OF ARTIFICIAL INTELLIGENCE AND SPEECH RECOGNITION IN LANGUAGE LEARNING

Article Sidebar

PDF (English)
Выпуск: Том 4 № 21 : Педагогика и психология в современном мире: теоретические и практические исследования
Раздел: Статьи
Опубликован:

Main Article Content

Student of the Samarkand State Institute of Foreign Languages
ziyotovadilbar7@gmail.com
Scientific Supervisor: Senior Teacher of the Samarkand State Institute of Foreign Language
info@in-academy.uz

Аннотация:

This article explores the theoretical foundations of Artificial Intelligence (AI) and speech recognition technologies and their application in the field of language learning. It examines the core concepts of AI, including machine learning, natural language processing, and neural networks, which form the basis of intelligent language-learning systems. The study highlights how speech recognition technology enables more effective pronunciation training, automatic feedback, and interactive speaking practice for learners. Furthermore, the paper analyzes modern AI-based educational platforms, their pedagogical advantages, and their impact on personalized learning. The findings indicate that integrating AI and speech recognition into language education enhances learner engagement, improves speaking proficiency, and supports autonomous learning. The article also outlines future perspectives on the development of AI-driven language learning tools and their role in shaping innovative educational environments.

Article Details

Как цитировать:

Ziyotova , D. ., & Rajabov , M. (2025). THEORETICAL FOUNDATIONS OF ARTIFICIAL INTELLIGENCE AND SPEECH RECOGNITION IN LANGUAGE LEARNING. Педагогика и психология в современном мире: теоретические и практические исследования, 4(21), 97–100. извлечено от https://www.in-academy.uz/index.php/zdpp/article/view/66721

Библиографические ссылки:

Ashurov, J. D. (2025). Xorijiy tillarni o‘rganishda qo‘llaniladigan sun’iy intellektga asoslangan dasturiy vositalar: imkoniyatlar, muammolar va istiqbollar. Problems and Solutions at the Stage of Innovative Development of Science, Education and Technology, 3(1), 19–27.

Badalova, A. B. (2025). Artificial Intelligence Technologies Are Contributing to Foreign Language Learning. International Conference on Multidisciplinary Science, 3(2), 45–53.

G‘ulomov, J. I., & Nuriddinova, M. (2025). Til o‘rganishda sun’iy intellektning roli va imkoniyatlari. Conference on Multidisciplinary Science, 3(3), 19–21.

Hayitova, N. R. (2025). Sun’iy intellekt tushunchasi va uning rivojlanish tarixi. Pedagogik Islohotlar va Ularning Yechimlari, 2(1), 12–20.

Kamolova, F. (2025). O‘zbekistonda sun’iy intellekt texnologiyalari yordamida ingliz tilida gapirish ko‘nikmalarini o‘rgatish. World Scientific Research Journal, 4(2), 33–41.

Karimberdiyeva, A. U. (2025). Tilshunoslikda sun’iy intellektning qo‘llanilishi. Ilm – Fan Taraqqiyotida Raqamli Iqtisodiyot va Zamonaviy Ta’lim, 1(1), 27–35.

Najmetdinova, N. S. (2025). Ta’lim jarayonida raqamli texnologiyalar va sun’iy intellektni qo‘llashning ilmiy-asosiy farqlari va tahlili. Digital Transformation and Artificial Intelligence, 2(1), 10–18.

Nasimov, R. H., & Mo‘minova, M. N. (2025). Ta’lim jarayonida sun’iy intellekt vositalaridan foydalanish usullari va algoritmlari. Digital Transformation and Artificial Intelligence, 2(2), 22–30.

Olimjon Tojiyev. (2025). Sun’iy intellekt yordamida talaffuz va tinglab tushunish ko‘nikmalarini rivojlantirish metodikasi. Maktabgacha va Maktab Ta’limi Jurnali, 3(1), 14–22.

Samadova, G. A., & O‘ktamov, M. O. (2025). Sun’iy intellekt asosidagi til o‘rgatish tizimlari. Tanqidiy Nazar, Tahliliy Tafakkur va Innovatsion G‘oyalar, 1(1), 40–48.

Shoisayeva, D. S. (2025). Sun’iy intellekt texnologiyalarining ta’limda xususan til o‘rganishda qo‘llanilishi. O‘zbekiston Davlat Jahon Tillari Universiteti Konferensiyasi Materiallari, 2(1), 35–42.

Turayeva, I. L. (2024). Sun’iy intellekt yordamida yoshlarni chet tillarini o‘rgatishning zamonaviy usullari. Pedagogik Tadqiqotlar Jurnali, 1(3), 19–27.

“Using AI‑Powered Speech Recognition Technology to Improve EFL Students’ Pronunciation and Speaking Skills.” (2024). IAFOR Journal of Education: Technology in Education, 12(2), 55–66.

“A comprehensive bibliometric and content analysis of artificial intelligence in language learning: tracing between the years 2017 and 2023.” (2023). Artificial Intelligence Review, 56(4), 2101–2125.

Xu, H., Gan, W., Qi, Z., Wu, J., & Yu, P. S. (2024). Large Language Models for Education: A Survey. arXiv preprint arXiv:2405.13001, pp. 1–24.

Lee, G.-G., et al. (2023). Multimodality of AI for Education: Towards Artificial General Intelligence. arXiv preprint arXiv:2312.06037, pp. 1–18.

Yan, L., Sha, L., Zhao, L., et al. (2023). Practical and Ethical Challenges of Large Language Models in Education: A Systematic Scoping Review. arXiv preprint arXiv:2303.13379, pp. 1–21.

Tafazoli, D. (2023). Critical Appraisal of Artificial Intelligence‑Mediated Communication. arXiv preprint arXiv:2305.11897, pp. 1–15.