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IMPLEMENTING ARTIFICIAL INTELLIGENCE IN PRIMARY EDUCATION: STRUCTURE AND COMPONENTS

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dc.contributor.authorMatluba Nigmatullayeva
dc.date.accessioned2026-01-07T10:44:46Z
dc.date.issued2026-01-07
dc.description.abstractThis article examines the structure and components of implementing artificial intelligence (AI) in the primary education learning process. The study analyzes scientific literature and practical approaches to AI integration, highlighting its potential to individualize learning, monitor student progress, and enhance teaching effectiveness. The article further discusses key components, including pedagogical strategies, technological platforms, methodological support, and infrastructural requirements, necessary for successful AI implementation in primary education.
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dc.identifier.urihttps://usajournals.org/index.php/6/article/view/1775
dc.identifier.urihttps://asianeducationindex.com/handle/123456789/109717
dc.language.isoeng
dc.publisherModern American Journals
dc.relationhttps://usajournals.org/index.php/6/article/view/1775/1859
dc.rightsCopyright (c) 2026 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. 2 No. 1 (2026); 19-27
dc.source3067-7874
dc.subjectArtificial intelligence, primary education, learning process, adaptive learning, pedagogical technology, individualized instruction, educational effectiveness
dc.titleIMPLEMENTING ARTIFICIAL INTELLIGENCE IN PRIMARY EDUCATION: STRUCTURE AND COMPONENTS
dc.typeinfo:eu-repo/semantics/article
dc.typeinfo:eu-repo/semantics/publishedVersion
dc.typePeer-reviewed Article

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