An Edu-Metaverse framework to foster knowledge gain and retention

My research investigates the design and effectiveness of Edu-Metaverses, i.e., persistent, multi-user, virtual learning environments leveraging Extended Reality technologies, with the aim of addressing both learners’ and educators’ perspectives to develop evidence-based guidelines for effective Edu-Metaverses. My first user study, conducted within an Edu-Metaverse I developed, reveals that collaborative learning significantly improves the acquisition and retention of concise cultural heritage knowledge compared to individual exploration. Other achieved results showed how locomotion techniques influence learning outcomes, showing that teleportationbased methods enhance vocabulary learning while minimizing simulator sickness. From a technical standpoint, we optimized path planning algorithms to support scalable navigation in complex virtual environments, laying the groundwork for future integration of autonomous agents and multi-user interactions inside Edu-Metaverses. My research also identified future research areas related to embodiment, adaptive content delivery, and feedback mechanisms for both educators and learners, along with broader possibilities in AI-enhanced pedagogical tools. Building on this, I propose a draft framework to guide educators, developers, and institutions in creating scalable Edu-Metaverses to improve knowledge acquisition, retention, and engagement across diverse educational contexts.