A METHODOLOGY FOR IMPROVING TEACHING EFFECTIVENESS THROUGH ARTIFICIAL INTELLIGENCE-INTEGRATED DIGITAL LEARNING PLATFORMS

This article examines the pedagogical and methodological aspects of improving teaching effectiveness through digital learning platforms integrated with artificial intelligence (AI). It analyzes the didactic potential of AI technologies in digital learning environments, the organization of learning processes adapted to students’ individual needs, the development of independent learning activities, and mechanisms for assessing knowledge and learning outcomes. The article also explores the application of AI tools in adaptive, blended, distance, synchronous, and asynchronous learning. A methodological approach aimed at improving teaching effectiveness through the integration of AI into digital learning platforms is proposed. The main components of this approach, criteria for assessing effectiveness, existing challenges, and possible solutions are discussed. The proposed methodology emphasizes the integration of digital platforms, AI tools, pedagogical strategies, and assessment mechanisms within a unified educational framework.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-10-29
DOI
https://doi.org/10.5281/zenodo.23781787
Primary Topic
Artificial Intelligence in Education
Type
article
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article

A METHODOLOGY FOR IMPROVING TEACHING EFFECTIVENESS THROUGH ARTIFICIAL INTELLIGENCE-INTEGRATED DIGITAL LEARNING PLATFORMS

Zokhidov Jakhongir Botirkhonovich
3 links
Zenodo (CERN European Organization for Nuclear Research)
Artificial Intelligence in Education
article

A METHODOLOGY FOR IMPROVING TEACHING EFFECTIVENESS THROUGH ARTIFICIAL INTELLIGENCE-INTEGRATED DIGITAL LEARNING PLATFORMS

Zokhidov Jakhongir Botirkhonovich
article en

Abstract

This article examines the pedagogical and methodological aspects of improving teaching effectiveness through digital learning platforms integrated with artificial intelligence (AI). It analyzes the didactic potential of AI technologies in digital learning environments, the organization of learning processes adapted to students’ individual needs, the development of independent learning activities, and mechanisms for assessing knowledge and learning outcomes. The article also explores the application of AI tools in adaptive, blended, distance, synchronous, and asynchronous learning. A methodological approach aimed at improving teaching effectiveness through the integration of AI into digital learning platforms is proposed. The main components of this approach, criteria for assessing effectiveness, existing challenges, and possible solutions are discussed. The proposed methodology emphasizes the integration of digital platforms, AI tools, pedagogical strategies, and assessment mechanisms within a unified educational framework.

Zenodo (CERN European Organization for Nuclear Research)
Quality education
Openalex Percentile: Top 7%
Artificial Intelligence in Education
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