AI AND PERSONALIZED LEARNING
Keywords:
Artificial Intelligence, personalized learning, adaptive education, intelligent tutoring systems, machine learning, data-driven instruction, educational technology.Abstract
This article examines the growing role of Artificial Intelligence (AI) in developing personalized learning environments within modern education. It highlights how AI technologies—such as adaptive learning systems, intelligent tutoring, predictive analytics, and learning management platforms—enable individualized instruction that responds to each learner’s needs, pace, and preferences. The study explores the main principles, advantages, and challenges of implementing AI in personalized education. It also emphasizes the importance of ethical considerations, data privacy, and teacher involvement in ensuring that AI supports, rather than replaces, human interaction in the learning process. The findings indicate that AI has the potential to enhance learning efficiency, motivation, and inclusivity, ultimately transforming the traditional classroom into a more adaptive and learner-centered environment.
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