PREDICTING THE INTENTION TO USE GOOGLE GLASS IN THE EDUCATIONAL PROJECTS: A HYBRID SEM-ML APPROACH

The emergence of newer technology and rapid global changes has led to the development of technology-based education environments, wherein teachers and students interact via technological interfaces such as Google Glass. Very few educational institutions have, however, opted to use this interface. Th...

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Main Author: Alfaisal, Raghad (author)
Other Authors: Idris Khadija Alhumaid, Sultan (author), Alnazzawi, Noha (author), Abou Samra, Rasha (author), Aburayya, Ahmad (author), Salloum, Said (author), Shaalan, Khaled (author), Al Khasoneh, Osama (author), Abdel Monem, Azza (author)
Published: 2022
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Online Access:https://bspace.buid.ac.ae/handle/1234/3024
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author Alfaisal, Raghad
author2 Idris Khadija Alhumaid, Sultan
Alnazzawi, Noha
Abou Samra, Rasha
Aburayya, Ahmad
Salloum, Said
Shaalan, Khaled
Al Khasoneh, Osama
Abdel Monem, Azza
author2_role author
author
author
author
author
author
author
author
author_facet Alfaisal, Raghad
Idris Khadija Alhumaid, Sultan
Alnazzawi, Noha
Abou Samra, Rasha
Aburayya, Ahmad
Salloum, Said
Shaalan, Khaled
Al Khasoneh, Osama
Abdel Monem, Azza
author_role author
dc.creator.none.fl_str_mv Alfaisal, Raghad
Idris Khadija Alhumaid, Sultan
Alnazzawi, Noha
Abou Samra, Rasha
Aburayya, Ahmad
Salloum, Said
Shaalan, Khaled
Al Khasoneh, Osama
Abdel Monem, Azza
dc.date.none.fl_str_mv 2022
2025-05-14T10:24:59Z
2025-05-14T10:24:59Z
dc.identifier.none.fl_str_mv Alfaisal, R., Alhumaid, K., Alnazzawi, N., Samra, R.A., Aburayya, A., Salloum, S., Shaalan, K., Al Khasoneh, O., & Monem, A.A. (2022). Predicting the Intention to Use Google Glass in the Educational Projects: A Hybrid SEM-ML Approach. Academy of Strategic Management Journal, 21(S6), 1-13.
https://bspace.buid.ac.ae/handle/1234/3024
dc.language.none.fl_str_mv en
dc.publisher.none.fl_str_mv Academy of Strategic Management Journal
dc.relation.none.fl_str_mv Academy of Strategic Management Journal
dc.subject.none.fl_str_mv Google Glass, Machine Learning, Structural Equation Modeling, Technology Acceptance Model.
dc.title.none.fl_str_mv PREDICTING THE INTENTION TO USE GOOGLE GLASS IN THE EDUCATIONAL PROJECTS: A HYBRID SEM-ML APPROACH
dc.type.none.fl_str_mv Article
description The emergence of newer technology and rapid global changes has led to the development of technology-based education environments, wherein teachers and students interact via technological interfaces such as Google Glass. Very few educational institutions have, however, opted to use this interface. The reason for this tendency is not very well understood or adequately researched. Therefore, this study aims to understand the factors influencing the adoption of Google Glass in the UAE. Our hypothesis is that providing information about the salient features and practical applications of Google Glass to teachers and learners would result in a higher percentage of educational institutions using this technology. The findings of this study will be based on the interrelation between the Technology Acceptance Model (TAM) and other influential factors. It will evaluate the integration of TAM with the well-known influential features of the device such as enhancement of teaching, facilitation of learning, functionality of motivating learning, and assurance of trust and information privacy. These features play a key role in facilitating communication between teachers and students in the classroom environment. Our approach will make use of hybrid analysis techniques involving Structural Equation Modeling (SEM) and Machine Learning (ML). This work of research thus proposes to offer practical inputs that can help decision-makers and other practitioners focus particularly on creating conducive environments for the use of Google Glass as well as further adopt strategies for meeting their specific needs.
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identifier_str_mv Alfaisal, R., Alhumaid, K., Alnazzawi, N., Samra, R.A., Aburayya, A., Salloum, S., Shaalan, K., Al Khasoneh, O., & Monem, A.A. (2022). Predicting the Intention to Use Google Glass in the Educational Projects: A Hybrid SEM-ML Approach. Academy of Strategic Management Journal, 21(S6), 1-13.
language_invalid_str_mv en
network_acronym_str budr
network_name_str The British University in Dubai repository
oai_identifier_str oai:bspace.buid.ac.ae:1234/3024
publishDate 2022
publisher.none.fl_str_mv Academy of Strategic Management Journal
repository.mail.fl_str_mv
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spelling PREDICTING THE INTENTION TO USE GOOGLE GLASS IN THE EDUCATIONAL PROJECTS: A HYBRID SEM-ML APPROACHAlfaisal, RaghadIdris Khadija Alhumaid, SultanAlnazzawi, NohaAbou Samra, RashaAburayya, AhmadSalloum, SaidShaalan, KhaledAl Khasoneh, OsamaAbdel Monem, AzzaGoogle Glass, Machine Learning, Structural Equation Modeling, Technology Acceptance Model.The emergence of newer technology and rapid global changes has led to the development of technology-based education environments, wherein teachers and students interact via technological interfaces such as Google Glass. Very few educational institutions have, however, opted to use this interface. The reason for this tendency is not very well understood or adequately researched. Therefore, this study aims to understand the factors influencing the adoption of Google Glass in the UAE. Our hypothesis is that providing information about the salient features and practical applications of Google Glass to teachers and learners would result in a higher percentage of educational institutions using this technology. The findings of this study will be based on the interrelation between the Technology Acceptance Model (TAM) and other influential factors. It will evaluate the integration of TAM with the well-known influential features of the device such as enhancement of teaching, facilitation of learning, functionality of motivating learning, and assurance of trust and information privacy. These features play a key role in facilitating communication between teachers and students in the classroom environment. Our approach will make use of hybrid analysis techniques involving Structural Equation Modeling (SEM) and Machine Learning (ML). This work of research thus proposes to offer practical inputs that can help decision-makers and other practitioners focus particularly on creating conducive environments for the use of Google Glass as well as further adopt strategies for meeting their specific needs.Academy of Strategic Management Journal2025-05-14T10:24:59Z2025-05-14T10:24:59Z2022ArticleAlfaisal, R., Alhumaid, K., Alnazzawi, N., Samra, R.A., Aburayya, A., Salloum, S., Shaalan, K., Al Khasoneh, O., & Monem, A.A. (2022). Predicting the Intention to Use Google Glass in the Educational Projects: A Hybrid SEM-ML Approach. Academy of Strategic Management Journal, 21(S6), 1-13.https://bspace.buid.ac.ae/handle/1234/3024enAcademy of Strategic Management Journaloai:bspace.buid.ac.ae:1234/30242025-05-14T10:30:15Z
spellingShingle PREDICTING THE INTENTION TO USE GOOGLE GLASS IN THE EDUCATIONAL PROJECTS: A HYBRID SEM-ML APPROACH
Alfaisal, Raghad
Google Glass, Machine Learning, Structural Equation Modeling, Technology Acceptance Model.
title PREDICTING THE INTENTION TO USE GOOGLE GLASS IN THE EDUCATIONAL PROJECTS: A HYBRID SEM-ML APPROACH
title_full PREDICTING THE INTENTION TO USE GOOGLE GLASS IN THE EDUCATIONAL PROJECTS: A HYBRID SEM-ML APPROACH
title_fullStr PREDICTING THE INTENTION TO USE GOOGLE GLASS IN THE EDUCATIONAL PROJECTS: A HYBRID SEM-ML APPROACH
title_full_unstemmed PREDICTING THE INTENTION TO USE GOOGLE GLASS IN THE EDUCATIONAL PROJECTS: A HYBRID SEM-ML APPROACH
title_short PREDICTING THE INTENTION TO USE GOOGLE GLASS IN THE EDUCATIONAL PROJECTS: A HYBRID SEM-ML APPROACH
title_sort PREDICTING THE INTENTION TO USE GOOGLE GLASS IN THE EDUCATIONAL PROJECTS: A HYBRID SEM-ML APPROACH
topic Google Glass, Machine Learning, Structural Equation Modeling, Technology Acceptance Model.
url https://bspace.buid.ac.ae/handle/1234/3024