The Fourth Educational Revolution and the Impact of AI on Pedagogy

Abstract

This study explores the capacity of Artificial Intelligence (AI) to revolutionize educational pedagogy, aiming to foster a more personalized and effective learning experience. Methodology: Through a bibliometric analysis of publications in Scopus and Web of Science, the research examines AI's impact on adaptive learning, personalized instruction, and effective teaching methods. It also evaluates AI's role in assessment, creation of simulated learning environments, and widening access to education, while addressing the integration challenges. Conclusions: The investigation demonstrates that AI has considerable potential to improve teaching and learning. AI-driven tools like intelligent tutoring systems, machine learning algorithms, and virtual simulations can facilitate a learner-centric approach. Nonetheless, it also highlights the necessity to confront issues such as technological overdependence, privacy concerns, and the potential displacement of teachers. A thoughtful adoption of AI in education could lead to a more equitable and engaging learning system. The advent of this educational revolution demands a focus on augmenting human capabilities with AI and transforming pedagogical strategies to enhance student outcomes. The research advocates for further development of ethical standards and informed policies to guide AI integration in the educational sector.