PERSONALIZED LEARNING THROUGH AI: TRANSFORMING TRADITIONAL TEACHING METHODS

Abstract

The integration of Artificial Intelligence (AI) into educational frameworks has catalyzed a significant transformation in traditional teaching methodologies. Personalized learning, driven by AI algorithms, enables educators to tailor instruction according to individual learner profiles, preferences, and performance patterns. By leveraging data analytics and machine learning, AI systems can identify learning gaps, recommend adaptive content, and provide real-time feedback, thereby enhancing student engagement and academic outcomes. This shift from a one-size-fits-all approach to a learner-centric model not only improves instructional effectiveness but also promotes autonomy, motivation, and continuous progress tracking.