AI-DRIVEN PEDAGOGICAL APPROACHES IN CONTEMPORARY EDUCATION

dc.contributor.author	Ergasheva Muqaddas Toshtemirovna
dc.date.accessioned	2025-12-28T12:12:47Z
dc.date.issued	2025-12-20
dc.description.abstract	This article examines AI-based pedagogical approaches in modern education and their impact on teaching and learning. It analyzes how AI technologies, such as adaptive learning systems, intelligent tutoring, and data-driven assessment, can enrich personalized learning and improve student outcomes. The study highlights the role of AI in supporting teachers, increasing student engagement, and promoting inclusive education. Ethical issues and the importance of responsible AI integration in educational environments are also addressed.
dc.format	application/pdf
dc.identifier.uri	https://usajournals.org/index.php/6/article/view/1652
dc.identifier.uri	https://asianeducationindex.com/handle/123456789/5288
dc.language.iso	eng
dc.publisher	Modern American Journals
dc.relation	https://usajournals.org/index.php/6/article/view/1652/1730
dc.rights	Copyright (c) 2025 Modern American Journal of Linguistics, Education, and Pedagogy
dc.rights	https://creativecommons.org/licenses/by/4.0
dc.source	Modern American Journal of Linguistics, Education, and Pedagogy; Vol. 1 No. 9 (2025); 206-211
dc.source	3067-7874
dc.subject	Artificial intelligence, education, pedagogy, technology, adaptation, personalization.
dc.title	AI-DRIVEN PEDAGOGICAL APPROACHES IN CONTEMPORARY EDUCATION
dc.type	info:eu-repo/semantics/article
dc.type	info:eu-repo/semantics/publishedVersion
dc.type	Peer-reviewed Article

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