PERSONALIZED LEARNING THROUGH ARTIFICIAL INTELLIGENCE

Abstract

This study explores the transformative role of Artificial Intelligence (AI) in personalized learning, emphasizing its ability to tailor educational experiences to individual student needs. By leveraging data analytics, AI systems create adaptive learning paths that enhance engagement and improve academic outcomes. Key findings highlight that AI-driven platforms can analyze vast amounts of student data to identify learning patterns, strengths, and weaknesses, allowing educators to design customized interventions. The integration of AI with emerging technologies, such as virtual reality (VR) and augmented reality (AR), fosters immersive learning environments that cater to diverse learning styles. Furthermore, AI's predictive analytics capabilities enable early identification of at-risk students, facilitating timely interventions. However, ethical considerations regarding data privacy and responsible use of AI must be prioritized to build trust among stakeholders. Overall, the study underscores AI's potential to revolutionize personalized education, making it more accessible and effective for all learners.