Impact of Artificial Intelligence on Modern Education Systems: A Comprehensive Review

Sarah Johnson

•University of Technology

Michael Chen

•Institute of Education Sciences

Published: 2025-12-12 DOI: 10.1038/s41586-025-0123

Abstract

This study explores the transformative potential of Artificial Intelligence (AI) in K-12 education, focusing on personalized learning algorithms and teacher assistance tools. Through a mixed-methods approach involving 50 schools across three districts, we analyze the efficacy of AI-driven adaptive learning platforms. The results indicate a 25% improvement in student engagement and a 15% increase in test scores in STEM subjects. However, challenges regarding data privacy and algorithmic bias remain significant hurdles.

Keywords

Artificial IntelligenceEducation TechnologyAdaptive LearningK-12Pedagogy

References

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Brown, L., & Green, T. (2023). Machine Learning Algorithms for Student Assessment. Computers & Education, 88, 102-115.

Department of Education. (2025). National Guidelines for AI Usage. Government Printing Office.