USING AI TO HELP B1 LEARNERS IMPROVE THEIR ENGLISH

Authors

  • Jamila Sotvoldiyeva Namangan State Technical University English teacher of Academic Lyceum No. 2.

DOI:

https://doi.org/10.5281/zenodo.19352016

Keywords:

Artificial Intelligence, B1 Proficiency, Language Acquisition, Learner Autonomy, Pedagogical Technology, CEFR.

Abstract

This research explores the integration of Artificial Intelligence (AI) as a primary pedagogical tool for learners at the Common European Framework of Reference (CEFR) B1 level. The “Intermediate Plateau” is a common obstacle where learners struggle to move toward advanced proficiency due to limited vocabulary and inconsistent grammatical application. This study utilizes a mixed-methods approach to evaluate how AI-driven platforms specifically Large Language Models (LLMs) and automated feedback systems impact student autonomy and communicative competence. The results indicate that AI-mediated instruction significantly enhances lexical range and reduces communicative anxiety, providing a scalable solution for personalized language acquisition.

References

Hockly, N. (2023). Artificial Intelligence in English Language Teaching: The Next Frontier. Modern English Teacher.

Krashen, S. D. (1982). Principles and Practice in Second Language Acquisition. Pergamon Press.

Richards, J. C. (2015). The Changing Face of Language Learning: Learning Beyond the Classroom. Language Teaching.

Schmidt, R. (1990). The Role of Consciousness in Second Language Learning. Applied Linguistics.

Vygotsky, L. S. (1978). Mind in Society: Development of Higher Psychological Processes. Harvard University Press.

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Published

2026-03-30

How to Cite

Sotvoldiyeva, J. (2026). USING AI TO HELP B1 LEARNERS IMPROVE THEIR ENGLISH. Academic Research in Modern Science, 5(10), 39-41. https://doi.org/10.5281/zenodo.19352016