AI-Driven Personalized Learning Systems for Education Enhancement
Abstract
Personalized learning has the potential to revolutionize education by tailoring content to individual student needs. This paper explores an AI-driven personalized learning system that adapts educational content based on a student’s learning style, progress, and preferences. Using machine learning algorithms, the system analyzes student interactions, performance, and engagement to provide targeted lessons, assessments, and feedback. Case studies in K-12 and higher education settings demonstrate that the AI system improves learning outcomes, student engagement, and retention rates. This research highlights the potential of AI to transform education into a more adaptive and inclusive experience.
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