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ZENODO
Dataset . 2026
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2026
License: CC BY
Data sources: Datacite
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DEVELOPING MEDIA LITERACY THROUGH ARTIFICIAL INTELLIGENCE TOOLS IN THE EDUCATION SYSTEM

Authors: Baltayeva Ma'mura Baxtiyorovna;

DEVELOPING MEDIA LITERACY THROUGH ARTIFICIAL INTELLIGENCE TOOLS IN THE EDUCATION SYSTEM

Abstract

In the context of rapid digital transformation, media literacy has become a core competence for learners at all levels of education. The increasing volume of digital content, the spread of misinformation, and the growing influence of algorithm-driven media environments require learners to develop critical thinking, analytical skills, and ethical awareness. At the same time, artificial intelligence (AI) technologies are being actively integrated into educational systems, offering new opportunities to enhance teaching and learning processes. This article explores the role of artificial intelligence tools in developing media literacy within the education system. It analyzes theoretical approaches to media literacy, examines the pedagogical potential of AI-based tools, and discusses key challenges related to ethics, data privacy, and equity. The study argues that when applied thoughtfully, AI technologies can significantly support media literacy education by fostering critical evaluation of information, personalized learning, and active learner engagement. The article concludes with practical recommendations for integrating AI-driven media literacy instruction into contemporary educational contexts.

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    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average