For Sustainable Application of Mobile Learning: An Extended UTAUT Model to Examine the Effect of Technical Factors on the Usage of Mobile Devices as a Learning Tool

Saud S. Alghazi, Amirrudin Kamsin, Mohammed Amin Almaiah, Seng Yue Wong and Liyana Shuib
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Saud S. Alghazi: Department of Information Systems, Faculty of Computer Science & Information Technology, University of Malaya, Kuala Lumpur 50603, Malaysia
Amirrudin Kamsin: Department of Computer System & Technology, Faculty of Computer Science & Information Technology, University of Malaya, Kuala Lumpur 50603, Malaysia
Mohammed Amin Almaiah: Department of Computer Networks and Communications, College of Computer Sciences and Information Technology, King Faisal University, Al-Ahsa 31982, Saudi Arabia
Seng Yue Wong: Centre for Internship Training and Academic Enrichment (CITrA), University of Malaya, Kuala Lumpur 50603, Malaysia
Liyana Shuib: Department of Information Systems, Faculty of Computer Science & Information Technology, University of Malaya, Kuala Lumpur 50603, Malaysia

Sustainability, 2021, vol. 13, issue 4, 1-22

Abstract: Mobile devices have become an important tool in higher education. Although mobile devices have several benefits for students, the use of these devices is still very limited among students. This low percentage of usage could be attributed to several reasons, both technical and non-technical. Therefore, there is a need to conduct more research in order to understand the necessary factors that would lead to enhanced student usage, thus achieving sustainable mobile learning. In order to achieve that, our study proposes a model by employing the unified theory of acceptance and use of technology (UTAUT) to investigate the necessary factors that influence intention to use mobile learning among university students. To evaluate the proposed model, structural equation modelling (SEM) was employed to analyze data collected from 612 students. The results indicated that factors, such as device connectivity, device compatibility, device memory, device performance, network coverage, and network speed have a significant and positive influence on students’ intention to use mobile learning. This research provides important recommendations for university decision makers and developers on understanding the necessary factors for adopting mobile learning and reflect the students’ requirements.

Keywords: mobile learning; technical factors; mobile learning acceptance model; TAM; UTAUT (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (17)

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