Revolutionizing Education Scientometric: The Convergence of AI, Augmented Reality, and Virtual Reality for Immersive Learning

Abstract

Exploring the transformative impact of converging Artificial Intelligence (AI), Augmented Reality (AR), and Virtual Reality (VR) technologies on immersive learning environments. Using PRISMA methodology and comprehensive bibliometric analysis, we examined publication trends, keyword relationships, and collaboration networks across this rapidly evolving interdisciplinary field. Our findings reveal exponential growth in research output since 2020, with distinct thematic clusters forming around educational applications, immersive technologies, AI methodologies, and specialized domains including healthcare training. The analysis identifies key implementation challenges including technical limitations, ethical considerations, and accessibility barriers. This research demonstrates how AI-enhanced immersive environments create personalized, adaptive learning experiences that significantly improve engagement and knowledge retention across diverse educational contexts including medical simulation, architectural visualization, and language acquisition. The confluence of these technologies represents a paradigm shift in educational delivery, enabling experiential learning opportunities previously constrained by physical, safety, or resource limitations.