AUTHOR=Ali Syed Toqeer , Khan Sohail , Jan Salman , Nauman Mohammad 

TITLE=Revolutionizing arabic learning: GNT and AI-enhanced Metaverse environments

JOURNAL=Frontiers in Computer Science

VOLUME=Volume 7 - 2025

YEAR=2025

URL=https://www.frontiersin.org/journals/computer-science/articles/10.3389/fcomp.2025.1626092

DOI=10.3389/fcomp.2025.1626092

ISSN=2624-9898

ABSTRACT=The rapid evolution of artificial intelligence and extended reality technologies has opened new frontiers in language learning. Traditional methods often lack engagement, while modern approaches utilizing enhanced immersion [Augmented Reality (AR) and Virtual Reality (VR)] but remain constrained by static content. This research proposes an innovative framework integrating the Generalizable NeRF Transformer (GNT) with the Metaverse to facilitate Arabic language learning. By leveraging AI-driven dynamic 3D scene generation, the system allows learners to interact with virtual environments and engage in contextual conversations with intelligent avatars. The platform supports real-time speech-to-text conversion, AI-generated responses, and interactive 3D object generation corresponding to Arabic vocabulary, fostering a multisensory learning experience. This study outlines the architecture, algorithms, and implementation strategy, demonstrating how Metaverse-integrated GNT can revolutionize language acquisition through immersive, adaptive, and scalable methodologies.