Abstract
<jats:p>This study explores the integration of fuzzy logic into adaptive learning systems to enhance personalizededucation. Traditional adaptive learning systems, while beneficial, often struggle with limitations inpersonalization accuracy and adaptability. By incorporating fuzzy logic, which can manage uncertaintyand model nuanced learner needs, this research aims to improve the efficacy of adaptive learningsystems. Experimental results demonstrate that the fuzzy logic-enhanced system outperforms traditionalsystems across several metrics. Specifically, it achieves a 10% increase in personalization accuracy, a5% higher improvement in learning outcomes, and a 15-minute increase in average engagement time persession. Additionally, user satisfaction ratings are higher by 1.5 points on a 10-point scale, and systemefficiency is improved with a reduction in processing time by 0.8 seconds. These findings underscore thepotential of fuzzy logic to provide more precise, engaging, and effective adaptive learning experiences,making it a valuable advancement in personalized education technology</jats:p>