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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Main Authors: Ahmad Abu-Al-Aish, Steve Love
Format: Article
Language:English
Published: Athabasca University Press 2013-12-01
Series:International Review of Research in Open and Distance Learning
Subjects:
Online Access:http://www.irrodl.org/index.php/irrodl/article/view/1631/2711
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spelling 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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