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

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. Therefor...

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Main Authors: Alghazi, Saud S., Kamsin, Amirrudin, Almaiah, Mohammed Amin, Wong, Seng Yue, Shuib, Liyana
Format: Article
Published: MDPI 2021
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Online Access:http://eprints.um.edu.my/27944/
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Institution: Universiti Malaya
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spelling my.um.eprints.279442022-04-13T00:37:41Z http://eprints.um.edu.my/27944/ 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 Alghazi, Saud S. Kamsin, Amirrudin Almaiah, Mohammed Amin Wong, Seng Yue Shuib, Liyana GE Environmental Sciences QA75 Electronic computers. Computer science QH Natural history 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. MDPI 2021-02 Article PeerReviewed Alghazi, Saud S. and Kamsin, Amirrudin and Almaiah, Mohammed Amin and Wong, Seng Yue and Shuib, Liyana (2021) 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. Sustainability, 13 (4). ISSN 2071-1050, DOI https://doi.org/10.3390/su13041856 <https://doi.org/10.3390/su13041856>. 10.3390/su13041856
institution Universiti Malaya
building UM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaya
content_source UM Research Repository
url_provider http://eprints.um.edu.my/
topic GE Environmental Sciences
QA75 Electronic computers. Computer science
QH Natural history
spellingShingle GE Environmental Sciences
QA75 Electronic computers. Computer science
QH Natural history
Alghazi, Saud S.
Kamsin, Amirrudin
Almaiah, Mohammed Amin
Wong, Seng Yue
Shuib, Liyana
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
description 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.
format Article
author Alghazi, Saud S.
Kamsin, Amirrudin
Almaiah, Mohammed Amin
Wong, Seng Yue
Shuib, Liyana
author_facet Alghazi, Saud S.
Kamsin, Amirrudin
Almaiah, Mohammed Amin
Wong, Seng Yue
Shuib, Liyana
author_sort Alghazi, Saud S.
title 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
title_short 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
title_full 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
title_fullStr 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
title_full_unstemmed 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
title_sort 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
publisher MDPI
publishDate 2021
url http://eprints.um.edu.my/27944/
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