ARTIFICIAL INTELLIGENCE–BASED APPROACHES TO LEXICAL COMPETENCE DEVELOPMENT FOR NON-PHILOLOGICAL LEARNERS

Authors

  • Mukhitdinova Munirakhon Ravshanovna Doctor of Philosophy in Pedagogical Sciences (PhD), Associate professor, The University of World Economy and Diplomacy

Keywords:

artificial intelligence, lexical competence, non-philological learners, vocabulary acquisition, adaptive learning, language education

Abstract

The rapid integration of artificial intelligence (AI) into education has transformed language learning methodologies, particularly in the development of lexical competence among non-philological learners. Lexical competence—the ability to understand, use, and appropriately apply vocabulary—is essential for students in non-linguistic fields who require domain-specific language skills rather than full linguistic mastery. This article explores AI-based approaches to lexical competence development, examining intelligent tutoring systems, adaptive learning platforms, natural language processing tools, and data-driven personalization. The study highlights the advantages of AI-enhanced vocabulary acquisition, addresses existing challenges, and discusses future prospects for integrating AI into language education for non-philological learners.

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References

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Published

2026-01-16

How to Cite

Mukhitdinova Munirakhon Ravshanovna. (2026). ARTIFICIAL INTELLIGENCE–BASED APPROACHES TO LEXICAL COMPETENCE DEVELOPMENT FOR NON-PHILOLOGICAL LEARNERS. Journal of Applied Science and Social Science, 16(01), 279–283. Retrieved from https://www.internationaljournal.co.in/index.php/jasass/article/view/2965

Issue

Vol. 16 No. 01 (2026): Volume 16 Issue 01

Section

Articles

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