The Impact of Artificial Intelligence on Personalized Learning: A Critical Review

Abstract

This critical review explores the transformative role of artificial intelligence (AI) in enhancing personalized learning experiences within the education sector. As educational institutions grapple with the limitations of traditional teaching methods, which often fail to meet the diverse and evolving needs of learners, AI technologies have emerged as powerful tools capable of customizing and optimizing educational experiences on an individual level. Personalized learning, driven by AI, offers the possibility of tailoring instruction to align with each student's unique learning pace, style, and preferences, thereby fostering greater engagement and improving academic outcomes. This review synthesizes a broad range of current literature on the integration of AI in personalized learning environments, providing a comprehensive examination of its various applications, potential benefits, and inherent challenges. Furthermore, it offers evidence-based recommendations for the effective and responsible implementation of AI-driven educational tools in contemporary educational settings. The findings suggest that while AI holds significant promise for reshaping the future of education by delivering tailored learning experiences, careful attention must be paid to the ethical implications, including issues related to data privacy, algorithmic bias, and equitable access, to ensure that its full potential is realized in a manner that benefits all learners.