Factors Influencing Students’ Acceptance of M-Learning: An Investigation in Higher Education
M-learning will play an increasingly significant role in the development of teaching and learning methods for higher education. However, the successful implementation of m-learning in higher education will be based on users’ acceptance of this technology. Thus, the purpose of this paper is to study...
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Athabasca University Press
2013-12-01
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doaj-a63c52039826424399f2d0622d35994b2020-11-25T00:48:17ZengAthabasca University PressInternational Review of Research in Open and Distance Learning1492-38312013-12-01145Factors Influencing Students’ Acceptance of M-Learning: An Investigation in Higher EducationAhmad Abu-Al-Aish 0Steve Love1Brunel University, UK Brunel University, UK M-learning will play an increasingly significant role in the development of teaching and learning methods for higher education. However, the successful implementation of m-learning in higher education will be based on users’ acceptance of this technology. Thus, the purpose of this paper is to study the factors that affect university students’ intentions to accept m-learning. Based on the unified theory of acceptance and use of technology (UTAUT) (Venkatesh et al., 2003), this study proposes a model to identify the factors that influence the acceptance of m-learning in higher education and to investigate if prior experience of mobile devices affects the acceptance of m-learning. A structural equation model was used to analyse the data collected from 174 participants. The results indicate that performance expectancy, effort expectancy, influence of lecturers, quality of service, and personal innovativeness were all significant factors that affect behavioural intention to use m-learning. Prior experience of mobile devices was also found to moderate the effect of these constructs on behavioural intention. The results of this research extend the UTAUT in the context of m-learning acceptance by adding quality of service and personal innovativeness to the structure of UTAUT and provide practitioners and educators with useful guidelines for designing a successful m-learning system.http://www.irrodl.org/index.php/irrodl/article/view/1631/2711m-learning |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Ahmad Abu-Al-Aish Steve Love |
spellingShingle |
Ahmad Abu-Al-Aish Steve Love Factors Influencing Students’ Acceptance of M-Learning: An Investigation in Higher Education International Review of Research in Open and Distance Learning m-learning |
author_facet |
Ahmad Abu-Al-Aish Steve Love |
author_sort |
Ahmad Abu-Al-Aish |
title |
Factors Influencing Students’ Acceptance of M-Learning: An Investigation in Higher Education |
title_short |
Factors Influencing Students’ Acceptance of M-Learning: An Investigation in Higher Education |
title_full |
Factors Influencing Students’ Acceptance of M-Learning: An Investigation in Higher Education |
title_fullStr |
Factors Influencing Students’ Acceptance of M-Learning: An Investigation in Higher Education |
title_full_unstemmed |
Factors Influencing Students’ Acceptance of M-Learning: An Investigation in Higher Education |
title_sort |
factors influencing students’ acceptance of m-learning: an investigation in higher education |
publisher |
Athabasca University Press |
series |
International Review of Research in Open and Distance Learning |
issn |
1492-3831 |
publishDate |
2013-12-01 |
description |
M-learning will play an increasingly significant role in the development of teaching and learning methods for higher education. However, the successful implementation of m-learning in higher education will be based on users’ acceptance of this technology. Thus, the purpose of this paper is to study the factors that affect university students’ intentions to accept m-learning. Based on the unified theory of acceptance and use of technology (UTAUT) (Venkatesh et al., 2003), this study proposes a model to identify the factors that influence the acceptance of m-learning in higher education and to investigate if prior experience of mobile devices affects the acceptance of m-learning. A structural equation model was used to analyse the data collected from 174 participants. The results indicate that performance expectancy, effort expectancy, influence of lecturers, quality of service, and personal innovativeness were all significant factors that affect behavioural intention to use m-learning. Prior experience of mobile devices was also found to moderate the effect of these constructs on behavioural intention. The results of this research extend the UTAUT in the context of m-learning acceptance by adding quality of service and personal innovativeness to the structure of UTAUT and provide practitioners and educators with useful guidelines for designing a successful m-learning system. |
topic |
m-learning |
url |
http://www.irrodl.org/index.php/irrodl/article/view/1631/2711 |
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AT ahmadabualaish factorsinfluencingstudentsacceptanceofmlearninganinvestigationinhighereducation AT stevelove factorsinfluencingstudentsacceptanceofmlearninganinvestigationinhighereducation |
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