The Impact of Virtual Reality Technology on Jordan’s Learning Environment and Medical Informatics among Physicians

Abstract

The purpose of this study is to look into the components that affect the behavioral intention of Jordanians to use Virtual Reality Technology in the Learning Environment (VRTLE). For the educational and entertainment industries, virtual reality presents both obstacles and opportunities. The goal of this study is to determine the factors that influence VRTLE acceptance and to propose how such technology may be integrated into the educational setting of students and universities. A total of 60 students from private universities took part in the research. Among the participants, 63.3% were females and 36.7% were males. The modified UTAUT model used in this study only looked at the effects of four independent variables and two external factors, namely, acceptability (ACC) and usability (USA). Acceptability and usability have a substantial impact on student acceptance of VRTLE, according to the findings. Furthermore, as moderators, there is a major effect on both Awareness and Experience. This paper contributes significantly to the UTUAT model. It also tackles educational concerns about the transition to a virtual reality learning environment. As a result, it would be useful to look into other factors as well. As a result, a comprehensive empirical study should be designed to allow for the assessment of the effects of other variables as well.

Evaluating the Impact of Emotions and Awareness on User Experience in Virtual Learning Environments for Sustainable Development Education

“…In many different types of educational settings, the utilization of Vir tual Learning Environments is advantageous [19][20][21][22]. Despite this, it has drawbacks such as an absence of trust, decreased group interaction, social separation, and concealed scientific costs.…”

Analysis of Factors Affecting Use Behavior towards Mobile Payment Apps: A SEM Approach

“…It was found that performance expectancy was the primary criterion which influence retailers' behavioral intention to adopt mobile payment apps [39]. The studies [40][41][42][43][44][45][46][47] have also studied the relationship between performance expectancy and behavioral intention. With this backdrop, the following hypotheses were formed: H1: there is no impact of performance expectancy on behavioural intention to use mobile payment applications.…”

“…In research conducted by Alshare and Lane [55], it was revealed that there is a strong relationship between effort expectancy and the behavioral intention of customers. The studies [40][41][42][43][44][45][46][47] have also evaluated the relationship between effort expectancy and behavioral intention. The above discussion led to the formulation of the following hypothesis: H2: there is no impact of effort expectancy on behavioral intention to use mobile payment applications.…”

“…Several other studies such as [6,74,75] have also witnessed a strong association between behavioral intention and the use of mobile payment systems. The studies [41,44,47,76] have also evaluated the impact of behavioral intention on actual use behavior. Thus, the next hypothesis was formulated: H6: there is no impact of behavioral intention to use mobile payment applications on the use behavior of the users.…”