Abstract
Personalized learning systems (PLS) aim to tailor educational experiences to meet the unique needs, interests, and abilities of individual learners. Artificial intelligence (AI) has emerged as a key technology in the development of these systems, offering advanced capabilities to analyze learning patterns and adapt instructional content accordingly. This article explores the role of AI in personalized learning, highlighting how machine learning algorithms, natural language processing, and adaptive learning technologies are used to optimize learning outcomes. The article also examines challenges and future trends in the integration of AI into educational systems, with a focus on improving student engagement, retention, and overall academic performance.
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