AI-Empowered Metaverse Learning Simulation Technology Application
Dongxing Yu
Abstract
This paper proposes an immersive and adaptive virtual learning system incorporating artificial intelligence and multi-agent technologies to provide personalized and engaging education tailored to individual students. A prototype system was developed and tested for an English language learning task, demonstrating over 30% improvement versus conventional teaching. However, challenges remain for large-scale classroom implementation, including development costs, technology readiness differences, risks of over-reliance on technology lacking human interactions, and formulating new pedagogical models. Further research is required to address these open issues before realizing the full potential of AI-enabled immersive learning environments for transforming education. The paper provides a conceptual framework and system design for intelligent customizable virtual learning tailored to students' knowledge states, skill levels, interests, and learning styles. Preliminary experimentation validated gains in outcomes and engagement versus conventional classrooms. While substantial hurdles exist for translation to mainstream adoption, prudent integration of immersive technologies could enable more stimulating and effective education worldwide. With continued systemic research and adoption, AI-driven VR heralds a new era in technology-enhanced yet human-centric pedagogy to prepare learners for the modern digital world.