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Theoretical Foundations and Conceptual Frameworks for Implementing Artificial Intelegence in Education

Year: 2026

Type: article

Abstract: This article examines the theoretical foundations and conceptual frameworks for the implementation of artificial intelligence in the educational process. The relevance of this topic lies in the rapid development of digital technologies and their growing role in modern education. The study explores key learning theories and models that support the use of artificial intelligence in teaching and learning. It is argued that artificial intelligence can significantly improve the quality of education by providing personalized and adaptive learning experiences. The findings suggest that despite certain challenges, the integration of artificial intelligence has strong potential for the future of education.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.19677953

Authors: Sultanova, Dilnoza, Kubaeva, Ugiloy, Abdumalikova, Elvira

Institution: Nordic International University

Language: English

Topic: Artificial Intelligence in Education

Subfield: Information Systems

Field: Computer Science

Domain: Physical Sciences

SDG: Quality education

Open Access status: green

OpenAlex ID: W7155060504

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