2022 International Arab Conference on Information Technology (ACIT) 2022
DOI: 10.1109/acit57182.2022.9994196
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Investigating Student Perceptions of Augmented Reality Utilizing Technology Acceptance Model (TAM)

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Cited by 2 publications
(4 citation statements)
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“…This study aimed to examine the effect of perceived usefulness on the willingness to adopt AR technology, and, based on the obtained results, the effect is significant, as reported by prior studies [58,59,62,63]. Perceived usefulness, based on this study, is among the topmost significant predictors of willingness to adopt technology, and this significance may be attributed to the participants' beliefs that AR technology usage can enhance the content quality of their lessons, the relevant knowledge, and the efficiency of teaching and learning.…”
Section: Discussionmentioning
confidence: 86%
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“…This study aimed to examine the effect of perceived usefulness on the willingness to adopt AR technology, and, based on the obtained results, the effect is significant, as reported by prior studies [58,59,62,63]. Perceived usefulness, based on this study, is among the topmost significant predictors of willingness to adopt technology, and this significance may be attributed to the participants' beliefs that AR technology usage can enhance the content quality of their lessons, the relevant knowledge, and the efficiency of teaching and learning.…”
Section: Discussionmentioning
confidence: 86%
“…Models are used to encourage people to adopt new technologies. Studies [18,[29][30][31] have been performed to examine what makes users more likely to accept and use an AR system in learning environments that use TAM. Wojciechowski and Cellary [18] indicated that, the TAM was critiqued by several studies for the following reason: "the omission of intrinsic factors that influence computer acceptance."…”
Section: Literature Reviewmentioning
confidence: 99%
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“…The researchers conducted the Structural Equation Modelling (SEM) based on two criterion approaches (Taha et al, 2022). First, the researchers examined the measurement model and then the structural model (Cheung and Wang, 2017).…”
Section: Inner Moder Analysismentioning
confidence: 99%