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The integration of Artificial Intelligence (AI) in personalized learning and education has emerged as a transformative force, reshaping traditional teaching methods and adapting to the diverse needs of learners. This review reviews the pivotal role that AI plays in tailoring educational experiences and addressing individual strengths, weaknesses, and learning styles. AI's ability to analyze vast amounts of data enables the creation of personalized learning paths. Machine learning algorithms can assess students' progress, identify areas of difficulty, and recommend targeted resources, thereby fostering a customized educational journey. This adaptability ensures that each learner receives content at an optimal pace, promoting a more effective and engaging learning experience. Furthermore, AI facilitates the development of intelligent tutoring systems that provide real-time feedback and support. These systems can identify misconceptions and offer personalized explanations, fostering a deeper understanding of concepts. The interactive nature of AI-driven tutoring enhances student engagement and motivation, contributing to a more positive and efficient learning environment. The review also highlights the role of AI in automating administrative tasks for educators. By handling routine grading, scheduling, and administrative duties, AI frees up educators to focus on personalized interaction with students. This shift from a one-size-fitsall approach to a tailored, student-centric model is pivotal in addressing the diverse needs of learners in today's educational landscape. Despite these advancements, challenges such as data privacy concerns and the digital divide need careful consideration. The ethical use of AI in education, along with ensuring accessibility for all students, remains essential. As AI continues to evolve, its integration in personalized learning and education holds promise for fostering a more inclusive, adaptive, and effective educational system that caters to the unique needs of each learner.