Understanding the Quality Determinants that Influence the Intention to Use the Mobile Learning Platforms: A Practical Study

Muhammad Turki Alshurideh, Said Abdelrahim Salloum, Barween Al Kurdi, Azza Abdel Monem, Khaled Shaalan


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 enhance their students’ learning experience and efficiency. Nonetheless, Mobile Learning Platform are only going to be successful when students show acceptance 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.


Mobile Learning Platform (MLP); United Arab Emirates; Technology Acceptance Model (TAM); System Quality; Information Quality; Content Quality; Service Quality; Structure equation modeling (PLS-SEM); Emirates universities.

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International Journal of Interactive Mobile Technologies (iJIM) – eISSN: 1865-7923
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