Artificial Intelligence (AI) has significantly advanced personalized learning by customizing educational content to meet the unique needs of 306 students. This study explores the long-term impact of AI-driven personalized learning systems on student engagement and academic performance. Utilizing extensive datasets and advanced machine learning techniques—specifically J48 for classification and K-Means for clustering—the research offers valuable insights into optimizing education through AI. The methodology emphasizes ethical AI implementation, adherence to data privacy standards, and fairness. The results, validated using diverse student data, support the development of a scalable, inclusive AI framework for future educational environments.
Vijayakumar et al. (Mon,) studied this question.
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