Exploring the potential adoption of Metaverse for Higher Education: Structural Equation Modelling Approach in a Business School context

Abstract

The evolution of the Metaverse in Higher Education (HE) in Mexico can potentially enhance pedagogy, develop skills, and improve the learning experience. This research aims to estimate the factors guiding the adoption of the Metaverse in a Business School context in Mexico. A survey analysis was conducted to gauge insights from stakeholders on the Metaverse in HE. A total of 117 respondents, comprising students, professors, and staff members, completed the 21-item questionnaire. To determine the relationship between data, a quantitative analysis was performed using a structural equation model (SEM), and a path analysis was computed to illustrate the relationship among the adoption components of the UTAUT model. The study found no correlation between age, gender, and previous experience toward adopting the Metaverse. On the other hand, performance expectancy, effort expectancy, social influence, and facilitating conditions significantly impact the stakeholders' attitudes toward adopting this technology. The R2 coefficient of 94% obtained explains the model's accuracy. The research reveals that a practical learning exercise in the Metaverse improved student knowledge acquisition. Implementing this model is to be at the service of concerned HE authorities to create an adequate environment for adopting the Metaverse in Universities in Mexico.