Metaverse-Enabled Educational Platforms for Collaborative Learning

Abstract

The educational metaverse -- persistent, shared virtual worlds where learners interact as embodied avatars across social, creative, and intellectual spaces -- represents a transformative evolution beyond single-session VR experiences toward continuous community-based digital learning environments. Metaverse educational platforms combine immersive spatial computing with persistent social identity, learner-created content, economic systems for collaborative project incentives, and AI-driven personalisation of the shared virtual environment. This paper proposes the Metaverse Education Platform Evaluation Framework (MEPEF), a systematic assessment of five metaverse platform architectures -- open-world persistent (Roblox Education, Minecraft Education), closed institutional (AltspaceVR, FrameVR), hybrid AI-adaptive (custom Unity-based), blockchain credentialed, and cross-platform federated metaverse -- across six collaborative learning benchmarks involving 4,800 learners from 12 educational institutions over 24 months. MEPEF introduces the Metaverse Learning Effectiveness Score (MLES) and evaluates social presence, collaborative knowledge construction, creative expression, and learning outcome quality. Key results: AI-adaptive hybrid metaverse achieves the highest MLES (0.904) with 38.4% collaborative learning gain improvement over 2D platforms; open-world persistent platforms achieve the highest creative expression scores and learner retention (24-month engagement rate 68.4%); blockchain credentialing increases skill badge completion motivation by 42.4%. The framework provides metaverse educational platform design guidance across institutional contexts.