Browsing by Author "Abdel Monem, Azza"

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    PREDICTING THE INTENTION TO USE GOOGLE GLASS IN THE EDUCATIONAL PROJECTS: A HYBRID SEM-ML APPROACH
    (Academy of Strategic Management Journal, 2022) Alfaisal, Raghad; Idris Khadija Alhumaid, Sultan; Alnazzawi, Noha; Abou Samra, Rasha; Aburayya, Ahmad; Salloum, Said; Shaalan, Khaled; Al Khasoneh, Osama; Abdel Monem, Azza
    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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    Understanding the Quality Determinants that Influence the Intention to Use the Mobile Learning Platforms: A Practical Study
    (Elsevier, 2019) Alshurideh, Muhammad; A. Salloum, Said; Al Kurdi, Barween; Abdel Monem, Azza; Shaalan, Khaled
    There is a widespread use of Internet technology in the present times, because of which universities are making investments in Mobile learning to augment their position in the face of extensive competition and also to en hance their students’ learning experience and efficiency. Nonetheless, Mobile Learning Platform are only going to be successful when students show ac ceptance and adoption of this technology. Our literature review indicates that very few studies have been carried out to show how university students accept and employ Mobile Learning Platform. In addition, it is asserted that behavioral models of technology acceptance are not equally applied in different cultures. The purpose of this study is to develop an extension of Technology Acceptance Model (TAM) by including four more constructs: namely, content quality, service quality, information quality and quality of the system. This is proposed to make it more relevant for the developing countries, like the United Arab Emirates (UAE). An online survey was carried out to obtain the data. A total of 221 students from the UAE took part in this survey. Structural equation modeling was used to determine and test the measurement and structural model. Data analysis was carried out, which showed that ten out of a total of 12 hypotheses are supported. This shows that there is support for the applicability of the extended TAM in the UAE. These outcomes suggest that Mobile Learning Platform should be considered by the policymakers and education developers as being not only a technological solution but also as being new e-learning platform especially for distance learning students.