THEORETICAL FOUNDATIONS AND CONCEPTUAL FRAMEWORKS FOR IMPLEMENTING ARTIFICIAL INTELEGENCE IN EDUCATION
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.
Authors
- Elvira Abdumalikova
- Dilnoza Sultanova
- Ugiloy Kubaeva
Institutions
- Nordic International University
- International University (KH)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2026-04-21
- DOI
- https://doi.org/10.5281/zenodo.19677954
- Primary Topic
- Artificial Intelligence in Education
- Type
- article
- Field-Weighted Citation Impact
- 0.00