Personalized Learning Paths: Adapting Education with AI-Driven Curriculum

This is a literature review paper that synthesizes existing research on AI-driven personalized learning systems and their impact on educational outcomes, examining how adaptive learning technologies can tailor curricula to individual student needs. The paper reviews general principles of personalized learning across diverse educational settings but does not present original evaluations, benchmarks, or K-12-specific empirical findings.

: Purpose: This review research paper aims to investigate the impact of personalized learning paths facilitated by artificial intelligence (AI) on educational outcomes. It explores the evolving landscape of education and the potential benefits of tailoring curricula to individual learner needs through AI-driven technologies. Theoretical Framework: The study is grounded in a theoretical framework that integrates principles of personalized learning, cognitive psychology, and AI algorithms. It seek

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