Perceptions of Incorporating Virtual Reality of Goggles in the Learning Management System in Developing Countries

Pasha, Saadia Anwar; Sharif, Humaira; Ali, Sana; Al-Misfari, Amal; Elareshi, Mokhtar; Ziani, Abdul-Karim; Habes, Mohammed

doi:10.1007/978-3-031-26956-1_82

Cited by 8 publications

(1 citation statement)

References 24 publications

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“…First, the researchers examined the measurement model and then the structural model (Cheung and Wang, 2017). In this regard, Outer Loading values were calculated and found as most of them exceeding the cutoff value of 0.5, while the Average Variance Value (AVE) is also exceeding the cutoff value of 0.5 (range 0.908 to 0.976) (Anwar Pasha et al, 2023), indicating that the convergent validity/internal correlations between the constructs are affirmed . Further, as the second step in measurement model analysis, the researchers examined the construct reliability by calculating two criteria, i.e., Cronbach alpha and composite reliability (Pasha et al, 2021).…”

Section: Inner Moder Analysismentioning

confidence: 99%

Examining the factors fostering metaverse experience browser acceptance under unified theory of acceptance and use of technology (UTAUT)

Farhi

2024

J. Infras. Policy. Dev.

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Metaverse technology has various uses in communication, education, entertainment, and other aspects of life. Consequently, it necessitates using some interactive mobile applications to enter the virtual world and gain real-time, face-to-face experiences, particularly among students. This research focused on the factors accelerating metaverse technology acceptance particularly, Metaverse Experience Browser application acceptance among the students under the factors proposed by the unified theory of acceptance and use of technology (UTAUT) model. Notably, lack of studies in metaverse browsers and their prevalence during the post pandemic era, indicates a strong literature gap. The researchers gathered data from n = 384 higher education students from the two cities in the United Arab Emirates and applied Structural Equation modelling (SEM) for data analysis. Results revealed that Performance Expectancy (p < 0.003) and Social Influence (p = 0.000) were significant factors affecting the Behavioral Intention of the students to consider Metaverse Experience Browser as an interactive mobile application. On the other hand, behavioural Intention significantly affects (p = 0.000) Effort Expectancy, which shows how fewer efforts and greater accessibility are associated with one’s behavioural Intention. Besides, the effect of Behavioral Intention (p = 0.000) on Metaverse Experience Browser acceptance also remained validated. Finally, Effort Expectancy (p = 0.000) also indicated its significant effect on the Metaverse Experience Browser. These results indicated that the factors proposed by UTAUT have greater applicability on the Metaverse Experience Browser as they showed their relevance to its acceptance. The present study concludes that the acceptance of Metaverse Experience Browser as an interactive mobile application is a level ahead in improving students’ experiences. Thus, the Metaverse Experience Browser is considered a modified way of creating, sharing, participating, and enjoying the virtual world, indicating its greater usage among students for different purposes, including education and learning.

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Section: Inner Moder Analysismentioning

confidence: 99%