THE EFFECTIVENESS OF USING ARTIFICIAL INTELLIGENCE IN THE EDUCATIONAL PROCESS: DIGITAL PEDAGOGY AND AN INDIVIDUAL APPROACH

This article explores the effectiveness of integrating artificial intelligence (AI) into the educational process, with a focus on digital pedagogy and individualized learning approaches. AI technologies such as adaptive learning systems, intelligent tutoring systems, and automated feedback tools have shown great promise in enhancing educational outcomes by personalizing learning experiences, improving engagement, and supporting teachers in their instructional roles. The paper examines how AI facilitates the personalization of learning, automates assessment tasks, and promotes inclusivity in education. Despite these benefits, the article also discusses the challenges associated with AI implementation, including data privacy concerns, algorithmic bias, and the risk of overreliance on technology. The conclusion emphasizes that while AI can transform education, its integration must be guided by ethical principles and a human-centered approach.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-04-19
DOI
https://doi.org/10.5281/zenodo.15244362
Primary Topic
Artificial Intelligence in Education
Type
article
Field-Weighted Citation Impact
0.00
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article

THE EFFECTIVENESS OF USING ARTIFICIAL INTELLIGENCE IN THE EDUCATIONAL PROCESS: DIGITAL PEDAGOGY AND AN INDIVIDUAL APPROACH

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

THE EFFECTIVENESS OF USING ARTIFICIAL INTELLIGENCE IN THE EDUCATIONAL PROCESS: DIGITAL PEDAGOGY AND AN INDIVIDUAL APPROACH

article en

Abstract

This article explores the effectiveness of integrating artificial intelligence (AI) into the educational process, with a focus on digital pedagogy and individualized learning approaches. AI technologies such as adaptive learning systems, intelligent tutoring systems, and automated feedback tools have shown great promise in enhancing educational outcomes by personalizing learning experiences, improving engagement, and supporting teachers in their instructional roles. The paper examines how AI facilitates the personalization of learning, automates assessment tasks, and promotes inclusivity in education. Despite these benefits, the article also discusses the challenges associated with AI implementation, including data privacy concerns, algorithmic bias, and the risk of overreliance on technology. The conclusion emphasizes that while AI can transform education, its integration must be guided by ethical principles and a human-centered approach.

Zenodo (CERN European Organization for Nuclear Research)
Quality Education
Openalex Percentile: Top 46%
Artificial Intelligence in Education
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