The Evolution of Artificial Intelligence: A Theoretical Review of its Impact on Teaching and Learning in the Digital Age

This theoretical review explores the evolution of artificial intelligence (AI) and its impact on teaching and learning in the digital age. Investigating AI's integration into educational settings, the paper synthesises theoretical frameworks, empirical studies, and emerging trends. Drawing on constructivist, socio-cultural, and cognitive learning theories, the review analyses AI's implications for educational practices. It traces the historical development of AI in education, highlighting key milestones and the evolution of AI technologies. The paper adopts a theoretical framework to comprehensively analyse AI's impact, focusing on intelligent tutoring systems, adaptive learning platforms, virtual reality, natural language processing, and gamification. Theoretical foundations underscore AI's role in active learning, personalised environments, social interaction, and cognitive load management. The review addresses challenges, including equity, ethical considerations, and the evolving role of educators. It emphasises the need for clear ethical guidelines, professional development for educators, and ongoing research to navigate the evolving landscape of AI in education. Theoretical implications suggest a nuanced synthesis of technology and pedagogy, acknowledging the dynamic interplay between the two, and call for continued research to address technical challenges, ethical considerations, and effective strategies for professional development in this dynamic intersection of technology and education.