The Effectiveness of AI-Powered Personalized Learning Systems in High School Education:  A Structured Literature Review

Author(s)	Aditya Sharma
Country	India
Abstract	Artificial intelligence (AI) has increasingly been integrated into secondary education through personalized learning systems designed to adapt instruction to individual student needs. This structured literature review evaluates empirical research on the effectiveness of AI-powered personalized learning systems in high school settings. The review synthesizes findings related to academic performance, student engagement, accessibility, and ethical considerations. A systematic search of peer-reviewed educational technology studies was conducted to identify relevant research published in the past two decades. Findings suggest that AI-based adaptive systems can improve learning outcomes and engagement when implemented alongside teacher guidance. However, concerns regarding data privacy, algorithmic bias, and inequitable access remain significant challenges. The study concludes that AI-powered personalization holds transformative potential for high school education, but its effectiveness depends on responsible integration, ethical safeguards, and institutional support.
Keywords	Artificial intelligence in education; personalized learning; intelligent tutoring systems; secondary education; adaptive learning technology; educational technology ethics.
Published In	Volume 17, Issue 1, January-March 2026
Published On	2026-03-09

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International Journal on Science and Technology