Тамаддун нури 6-jild 81-son (2026) · 17-20-betlar
TECHNOLOGY FOR ENHANCING STUDENTS’ LEXICAL COMPETENCE THROUGH ARTIFICIAL INTELLIGENCE TECHNOLOGIES
Mukhitdinova, Munirakhon, Мухитдинова, Мунирахон, Muxitdinova, Muniraxon
Annotatsiya
This article discusses the theoretical and practical aspects of improving students’ lexical competence using artificial intelligence (AI) technologies. The study analyzes the didactic potential of natural language processing (NLP), generative AI models, adaptive learning systems, and intelligent dictionary platforms in developing vocabulary. It also examines the effectiveness of contextual learning, collocation learning, automatic feedback, and personalized learning in the formation of lexical competence. The results of the study show that AI technologies significantly accelerate, individualize, and increase the effectiveness of the process of developing lexical competence.
Artificial intelligence, lexical competence, vocabulary, NLP, generative models, adaptive learning, collocation, contextual learning, digital linguistics, automatic feedback.искусственный интеллект, лексическая компетенция, словарный запас, ОБЯ, генеративные модели, адаптивное обучение, коллокации, контекстное обучение, цифровая лингвистика, автоматическая обратная связь.sun’iy intellekt, leksik kompetensiya, so‘z boyligi, NLP, generativ modellar, adaptiv ta’lim, kollokatsiya, kontekstual o‘qitish, raqamli lingvistika, avtomatik teskari aloqa.
Metadata manbasi: jurnal OAI-PMH arxivi · Sindex toʻliq matnni saqlamaydi, manbaga havola beradi.