Evaluating User Satisfaction and Technical Challenges in the Educational Metaverse: A Case Study of Contiverso

This study examines user satisfaction and the integral experience within the educational metaverse 'Contiverso,' focusing on key dimensions such as perceived utility, technical challenges, and support systems. Using a quantitative cross-sectional design, data were collected from 301 students and teachers through a Likert-scale questionnaire. Results indicate high overall satisfaction (mean =4.21, 73.4% positive responses), with perceived utility (m e a n=5.31) and avatar customization (mean=4.28) being standout features. However, technical issues like disconnections (56.5%) and slow performance during screen sharing (62.5%) negatively impacted user experience. Support systems, particularly human and tutorial-based assistance, significantly enhanced satisfaction (mean=4.48 vs. 3.79 for low-support users). Regression analysis confirmed the negative effect of technical problems (β=-0.281, p<0.001) and the positive role of support (β=-0.785, p<0.001). The study identifies distinct user profiles based on technical and support experiences, suggesting tailored interventions for optimal engagement. These findings underscore the importance of robust technical infrastructure and accessible support in educational metaverses, offering practical insights for developers and institutions. Limitations include a self-selected sample and the cross-sectional design, calling for future longitudinal and mixed-methods research.