METHODS OF USING ARTIFICIAL INTELLIGENCE IN TEACHING DIGITAL AND INFORMATION TECHNOLOGIES

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Main Author: Babanazarova, Tajibaeva, Manzura Satullaevna, Aynura Nuryagdiyevna
Format: Recurso digital
Language:Uzbek
Published: Zenodo 2026
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author Babanazarova, Tajibaeva, Manzura Satullaevna, Aynura Nuryagdiyevna
author_facet Babanazarova, Tajibaeva, Manzura Satullaevna, Aynura Nuryagdiyevna
contents <p><span>This article analyzes the methods of effective use of artificial intelligence (AI) technologies in the process of teaching digital and information technologies. Such opportunities as individualization of the educational process, automatic assessment of the level of students' knowledge, creation of an interactive environment, and optimization of the teacher's activity are highlighted. Also, the role of modern AI tools in education and methodological recommendations for their application are given.</span></p>
format Recurso digital
id zenodo_https___doi_org_10_5281_zenodo_19627484
institution Zenodo
language uzb
publishDate 2026
publisher Zenodo
record_format zenodo
spellingShingle METHODS OF USING ARTIFICIAL INTELLIGENCE IN TEACHING DIGITAL AND INFORMATION TECHNOLOGIES
Babanazarova, Tajibaeva, Manzura Satullaevna, Aynura Nuryagdiyevna
artificial intelligence, digital learning, adaptive learning, automatic assessment, educational technologies, IT education, machine learning, Big Data.
<p><span>This article analyzes the methods of effective use of artificial intelligence (AI) technologies in the process of teaching digital and information technologies. Such opportunities as individualization of the educational process, automatic assessment of the level of students' knowledge, creation of an interactive environment, and optimization of the teacher's activity are highlighted. Also, the role of modern AI tools in education and methodological recommendations for their application are given.</span></p>
title METHODS OF USING ARTIFICIAL INTELLIGENCE IN TEACHING DIGITAL AND INFORMATION TECHNOLOGIES
topic artificial intelligence, digital learning, adaptive learning, automatic assessment, educational technologies, IT education, machine learning, Big Data.
url https://doi.org/10.5281/zenodo.19627484