OPPORTUNITIES FOR USING ARTIFICIAL INTELLIGENCE TOOLS IN UZBEK LANGUAGE LESSONS

dc.contributor.authorSalisheva Zilola Ismailovna
dc.date.accessioned2025-12-28T12:11:43Z
dc.date.issued2025-06-24
dc.description.abstractThis article explores the potential of using artificial intelligence (AI) tools in the teaching and learning of the Uzbek language, especially within the context of higher philological education in Uzbekistan. As the field of education undergoes rapid digital transformation, AI is emerging as a significant tool to support personalized learning, automate assessment, and enhance linguistic competence. The study examines various AI applications, including intelligent tutoring systems, AI-based writing assistants, and natural language processing platforms, and evaluates their relevance to Uzbek language instruction. The article also discusses pedagogical challenges and practical implications associated with integrating these technologies into language curricula. By analyzing global trends and local realities, the study provides a comprehensive overview of AI’s role in transforming traditional Uzbek language education.
dc.formatapplication/pdf
dc.identifier.urihttps://usajournals.org/index.php/6/article/view/549
dc.identifier.urihttps://asianeducationindex.com/handle/123456789/4891
dc.language.isoeng
dc.publisherModern American Journals
dc.relationhttps://usajournals.org/index.php/6/article/view/549/617
dc.rightsCopyright (c) 2025 Modern American Journal of Linguistics, Education, and Pedagogy
dc.rightshttps://creativecommons.org/licenses/by/4.0
dc.sourceModern American Journal of Linguistics, Education, and Pedagogy; Vol. 1 No. 3 (2025); 473-481
dc.source3067-7874
dc.subjectUzbek language, artificial intelligence, language instruction, digital pedagogy, AI tools, personalized learning, natural language processing, higher education, philological education.
dc.titleOPPORTUNITIES FOR USING ARTIFICIAL INTELLIGENCE TOOLS IN UZBEK LANGUAGE LESSONS
dc.typeinfo:eu-repo/semantics/article
dc.typeinfo:eu-repo/semantics/publishedVersion
dc.typePeer-reviewed Article

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