The Transformative Impact of Artificial Intelligence on the Modern Education System

This comprehensive study examines the multifaceted impact of Artificial Intelligence (AI) on global education systems.Through an analysis of current implementations, case studies, and empirical data, we explore how AI-driven technologies arereshaping pedagogical approaches, institutional administration, and learning outcomes. The paper investigates adaptive learningplatforms like Squirrel AI, ALEKS, and ALO7 through the lens of Bloom's 2 Sigma Problem, while critically analyzing both thetransformative potential and ethical challenges of educational AI. Our findings suggest that while AI offers unprecedentedopportunities for personalization and accessibility, its successful integration requires careful consideration of pedagogical,ethical, and socioeconomic factors. The study concludes with policy recommendations for balanced adoption in educationalcontexts

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-09-26
DOI
https://doi.org/10.5281/zenodo.16444679
Primary Topic
Educational Leadership and Innovation
Type
article
Field-Weighted Citation Impact
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article

The Transformative Impact of Artificial Intelligence on the Modern Education System

Zenodo (CERN European Organization for Nuclear Research)
Educational Leadership and Innovation
article

The Transformative Impact of Artificial Intelligence on the Modern Education System

article en

Abstract

This comprehensive study examines the multifaceted impact of Artificial Intelligence (AI) on global education systems.Through an analysis of current implementations, case studies, and empirical data, we explore how AI-driven technologies arereshaping pedagogical approaches, institutional administration, and learning outcomes. The paper investigates adaptive learningplatforms like Squirrel AI, ALEKS, and ALO7 through the lens of Bloom's 2 Sigma Problem, while critically analyzing both thetransformative potential and ethical challenges of educational AI. Our findings suggest that while AI offers unprecedentedopportunities for personalization and accessibility, its successful integration requires careful consideration of pedagogical,ethical, and socioeconomic factors. The study concludes with policy recommendations for balanced adoption in educationalcontexts

Zenodo (CERN European Organization for Nuclear Research)
Guru Gobind Singh Indraprastha University (IN)
Quality Education
Openalex Percentile: Top 40%
Educational Leadership and Innovation
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