A Novel AI-Powered Framework for Personalized Education Systems
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Abstract
Personalized education systems have the potential to revolutionize learning experiences by tailoring content to individual needs. This paper proposes a novel AI-powered framework that integrates natural language processing (NLP) and adaptive learning algorithms to deliver customized educational content. The framework dynamically adjusts learning paths based on student performance and preferences. Pilot studies in K-12 and higher education settings show significant improvements in student engagement and learning outcomes. The proposed system addresses the limitations of traditional one-size-fits-all education models, paving the way for more inclusive and effective learning environments.
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