Improving Innovative Teaching Methods Through the Use of Artificial Intelligence in Education

This article examines the possibilities of using artificial intelligence technologies to improve innovative teaching methods. In the context of the digital transformation of education, traditional teaching approaches are increasingly being complemented by interactive and intelligent technologies. Artificial intelligence can help adapt educational materials to students’ individual needs, generate learning tasks, analyze learning outcomes, and provide immediate feedback. The article discusses the potential of AI in personalized learning, interactive teaching, problem-based learning, independent learning, and assessment. Particular attention is given to the changing role of teachers in an AI-supported educational environment. Artificial intelligence should not be considered a replacement for teachers; rather, it can serve as an additional tool that supports their pedagogical activities and improves the effectiveness of the learning process. Previous research by the author also highlights the potential of AI-based adaptive learning systems to respond to individual educational needs and support personalized learning.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-11-10
DOI
https://doi.org/10.5281/zenodo.24117856
Primary Topic
Artificial Intelligence in Education
Type
article
Field-Weighted Citation Impact
0.00
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article

Improving Innovative Teaching Methods Through the Use of Artificial Intelligence in Education

Xamdamova Rayyona
Zenodo (CERN European Organization for Nuclear Research)
Artificial Intelligence in Education
article

Improving Innovative Teaching Methods Through the Use of Artificial Intelligence in Education

Xamdamova Rayyona
article en

Abstract

This article examines the possibilities of using artificial intelligence technologies to improve innovative teaching methods. In the context of the digital transformation of education, traditional teaching approaches are increasingly being complemented by interactive and intelligent technologies. Artificial intelligence can help adapt educational materials to students’ individual needs, generate learning tasks, analyze learning outcomes, and provide immediate feedback. The article discusses the potential of AI in personalized learning, interactive teaching, problem-based learning, independent learning, and assessment. Particular attention is given to the changing role of teachers in an AI-supported educational environment. Artificial intelligence should not be considered a replacement for teachers; rather, it can serve as an additional tool that supports their pedagogical activities and improves the effectiveness of the learning process. Previous research by the author also highlights the potential of AI-based adaptive learning systems to respond to individual educational needs and support personalized learning.

Zenodo (CERN European Organization for Nuclear Research)
Artificial Intelligence in Education
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