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International Journal of Advances in Applied Computational Intelligence
Volume 1 , Issue 1, PP: 08-22 , 2022 | Cite this article as | XML | Html |PDF

Title

Adoption of Google Glass technology: PLS-SEM and machine learning analysis

  Rose Aljanada 1 * ,   Ghadeer W. Abukhalil 2 ,   Aseel M. Alfaisal 3 ,   Raghad M. Alfaisal 4

1  Department of Languages and Translation, The Applied College, Northern Border University, KSA
    (sakurarose31@gmail.com)

2  Faculty of Arts, Department of English Language and Literature, Yarmouk University, Irbid, Jordan
    (dodo.44844@gmail.com)

3  Department of Languages and Translation, The Applied College, Northern Border University, KSA
    (mrs.aseel@gmail.com)

4  Faculty of Art, Computing and Creative Industries, Universiti Pendidikan Sultan Idris, Malaysia
    (raghad.alfaisal81@gmail.com)

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Doi   :   https://doi.org/10.54216/IJAACI.010101

Received: January 06, 2022 Accepted: May 15, 2022

Abstract :

This inclination is caused by the fact that the topic of technology incorporation has not received enough attention. The use of information and communication technology (ICT) like Google Glass has allowed instructors and students to engage in a technology-based educational setting because of the subsequent dramatic transformation. Yet, just a small number of schools and universities have started using Google Glass in their classrooms. This research aims to look at Google Glass adoption in the UAE. We reasoned those educating instructors and students about Google Glass's effective capabilities would help them make up their minds about adopting the device in classrooms. The layout of a framework that connects TAM with other influential factors is discussed in this study. To improve the interaction between instructors and learners in the classroom, this research explored the incorporation of the technology acceptance model (TAM) with the widely acknowledged potent features of the gadget, such as the teaching and learning mediator, "Motivation," and trust and information privacy. 750 questionnaires from various universities were acquired in total. According to the student's survey data gathered, the research model was studied using partial least squares-structural equation modeling (PLS-SEM) and machine learning models. The findings showed a significant association between motivation, trust, and privacy, as well as perceived usefulness and perceived ease of use of Google Glass. Moreover, the adoption of Google Glass was substantially correlated with perceived usefulness and perceived ease of use. The perceived ease of use, trust, and privacy are all important factors in the adoption of Google Glass. These results' practical implications for subsequent research were also discussed.

Keywords :

Google Glass; Technology Acceptance Model; PLS-SEM; and Machine Learning Models.

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Cite this Article as :
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MLA Rose Aljanada, Ghadeer W. Abukhalil, Aseel M. Alfaisal, Raghad M. Alfaisal. "Adoption of Google Glass technology: PLS-SEM and machine learning analysis." International Journal of Advances in Applied Computational Intelligence, Vol. 1, No. 1, 2022 ,PP. 08-22 (Doi   :  https://doi.org/10.54216/IJAACI.010101)
APA Rose Aljanada, Ghadeer W. Abukhalil, Aseel M. Alfaisal, Raghad M. Alfaisal. (2022). Adoption of Google Glass technology: PLS-SEM and machine learning analysis. Journal of International Journal of Advances in Applied Computational Intelligence, 1 ( 1 ), 08-22 (Doi   :  https://doi.org/10.54216/IJAACI.010101)
Chicago Rose Aljanada, Ghadeer W. Abukhalil, Aseel M. Alfaisal, Raghad M. Alfaisal. "Adoption of Google Glass technology: PLS-SEM and machine learning analysis." Journal of International Journal of Advances in Applied Computational Intelligence, 1 no. 1 (2022): 08-22 (Doi   :  https://doi.org/10.54216/IJAACI.010101)
Harvard Rose Aljanada, Ghadeer W. Abukhalil, Aseel M. Alfaisal, Raghad M. Alfaisal. (2022). Adoption of Google Glass technology: PLS-SEM and machine learning analysis. Journal of International Journal of Advances in Applied Computational Intelligence, 1 ( 1 ), 08-22 (Doi   :  https://doi.org/10.54216/IJAACI.010101)
Vancouver Rose Aljanada, Ghadeer W. Abukhalil, Aseel M. Alfaisal, Raghad M. Alfaisal. Adoption of Google Glass technology: PLS-SEM and machine learning analysis. Journal of International Journal of Advances in Applied Computational Intelligence, (2022); 1 ( 1 ): 08-22 (Doi   :  https://doi.org/10.54216/IJAACI.010101)
IEEE Rose Aljanada, Ghadeer W. Abukhalil, Aseel M. Alfaisal, Raghad M. Alfaisal, Adoption of Google Glass technology: PLS-SEM and machine learning analysis, Journal of International Journal of Advances in Applied Computational Intelligence, Vol. 1 , No. 1 , (2022) : 08-22 (Doi   :  https://doi.org/10.54216/IJAACI.010101)
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