Enhancing E-Orientation Platform Usage via the Metaverse

Abstract

This chapter seeks to foster e-orientation platform acceptance among Moroccan students within the context of the evolving Metaverse. The authors focused on the Faculty of Sciences Ben M'Sick, employing meta-analytic methods to gather quantitative data through a student questionnaire survey. The analyses, performed using Python, revealed that perceived ease of use, usefulness, quality, and trust significantly impact the intention to use an e-orientation platform in the Metaverse. These insights guided the authors to design an extended technology acceptance model (TAM) specifically tailored to e-orientation platforms in the Metaverse, aiming to meet the needs and expectations of students, parents, and guidance counselors. The study underscores the potential of the Metaverse in addressing the inherent challenges of e-orientation systems and highlights the importance of user perception in the effective design and acceptance of e-orientation platforms.