article · International Journal of Data and Network Science
Virtual environments known as the metaverse offer potential opportunities to enhance lectures and expand synchronous communication for dialogue and perspective sharing. An evaluation of medical students in the United Arab Emirates examined their perspectives on using metaverse systems in higher education. The investigation applied a framework incorporating elements of the Technology Acceptance Model, including perceived value and perceived ubiquity as adoption determinants. Survey responses collected from 369 full-time university students in the United Arab Emirates were evaluated using partial least squares structural equation modelling and machine learning methods. The results demonstrate that the extent to which users perceived value in the metaverse system was a significant factor shaping their intention to participate. Furthermore, the findings clarify the relative importance of various healthcare components, offering insights to assist professionals in prioritising their implementation efforts.
Understanding student attitudes towards emerging digital environments is essential as universities explore virtual technologies to modernise traditional lectures. By highlighting perceived value as a primary factor driving participation, these findings assist healthcare educators and university leaders in designing more engaging, collaborative teaching approaches that align with student expectations.
The findings apply to educational technology developers and university administrators designing virtual learning platforms for medical training. Because this research is an empirical survey of student perceptions rather than a product deployment, it sits at an early stage of adoption research, providing user-acceptance criteria that commercial developers can use to design higher-value virtual classroom solutions.
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The metaverse is an imaginary network of parallel universes. Using this technology might liven up dull lecture halls. By expanding synchronous communication into the "metaverse," many individuals may have meaningful conversations and exchange perspectives. This research focuses on finding out how medical students in the UAE feel about the metaverse system. The conceptual model incorporates elements from the Technology Acceptance Model (TAM), including perceived value and perceived ubiquity as adoption determinants. To test the validity of the suggested framework, a survey was developed and distributed to 369 full-time students at one of the universities in the United Arab Emirates (UAE). Machine learning (ML) and structural equation modeling using partial least squares (PLS-SEM) are used for data analysis. According to the results, the extent to which users saw value in and adoption of the metaverse system was a significant factor in whether or not they intended to participate. This study was helpful since it elucidated the relative significance of various healthcare components, allowing professionals to prioritize their efforts better.
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DOI: 10.5267/j.ijdns.2023.3.005
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