PEDAGOGICAL POTENTIAL OF INTERACTIVE PLATFORMS IN A DIGITAL LEARNING ENVIRONMENT

This article explores the theoretical foundations for the effective utilization of digital educational resources and software tools within the modern education system. Throughout the research, the pedagogical potential of various educational platforms—specifically VAcademia, LearningApps, Google Classroom, and Kahoot!—alongside cloud services and educational YouTube channels, is analyzed in the context of their role in the instructional process. The analysis demonstrates that interactive platforms facilitate the enhancement of educators' ICT competence, stimulate students' autonomous learning activities, and provide mechanisms for the objective monitoring of educational quality. Furthermore, the article addresses the individualization of the learning process by integrating artificial intelligence algorithms into testing and diagnostic systems.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-05-10
DOI
https://doi.org/10.5281/zenodo.20113238
Primary Topic
Artificial Intelligence in Education
Type
article
Field-Weighted Citation Impact
0.00
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article

PEDAGOGICAL POTENTIAL OF INTERACTIVE PLATFORMS IN A DIGITAL LEARNING ENVIRONMENT

Nosirova Dilnoza Toir Qizi
Zenodo (CERN European Organization for Nuclear Research)
Artificial Intelligence in Education
article

PEDAGOGICAL POTENTIAL OF INTERACTIVE PLATFORMS IN A DIGITAL LEARNING ENVIRONMENT

Nosirova Dilnoza Toir Qizi
article en

Abstract

This article explores the theoretical foundations for the effective utilization of digital educational resources and software tools within the modern education system. Throughout the research, the pedagogical potential of various educational platforms—specifically VAcademia, LearningApps, Google Classroom, and Kahoot!—alongside cloud services and educational YouTube channels, is analyzed in the context of their role in the instructional process. The analysis demonstrates that interactive platforms facilitate the enhancement of educators' ICT competence, stimulate students' autonomous learning activities, and provide mechanisms for the objective monitoring of educational quality. Furthermore, the article addresses the individualization of the learning process by integrating artificial intelligence algorithms into testing and diagnostic systems.

Zenodo (CERN European Organization for Nuclear Research)
Quality Education
Openalex Percentile: Top 2%
Artificial Intelligence in Education
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