Vol. 1 No. 2 (2026), Articles
Vol. 1 No. 2 (2026)

USING NEURAL NETWORK TECHNOLOGIES IN TEACHING ENGLISH

Articles
Published 2026-05-16
Shavkat Ibragimov
Fergana State University Faculty of Physics and Mathematics, Associate Professor of the Department of Information Technologies.
Rezhepkhon Ravshanbekova
Student of Fergana State University, Philology and Language Teaching program. English Language
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Keywords

neural network technologies, English language teaching, natural language processing, adaptive learning, language competence, pedagogical experiment, artificial intelligence in education.

How to Cite

Shavkat Ibragimov, & Rezhepkhon Ravshanbekova. (2026). USING NEURAL NETWORK TECHNOLOGIES IN TEACHING ENGLISH. Zamonaviy ta’lim Va Tilshunoslik Rivoji, 1(2), 78-92. https://doi.org/10.5281/zenodo.20241746
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Abstract

This paper investigates the effectiveness of neural network technologies in teaching English to university students. A pedagogical experiment was conducted with a control group (n = 62) and an experimental group (n = 58) of first-year students. The experimental group studied using an integrated neural network educational system comprising an NLP module, an adaptive task planner, and a personalised feedback subsystem. After a 12-week period, the experimental group showed statistically significant improvements across all five measured competences: vocabulary, grammar, reading, listening, and writing (p < 0.01). The mean aggregate score increased from 50.6% to 73.2% (+44.7%), whereas the control group improved from 50.2% to 61.2% (+21.9%). The findings confirm the promise of neural network tools in higher-education language instruction.

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