Please use this identifier to cite or link to this item: http://buratest.brunel.ac.uk/handle/2438/10461
Title: Factors influencing students' acceptance of m-learning: An investigation in higher education
Authors: Abu-Al-Aish, A
Love, S
Keywords: Behavioral intention;M-learning;Mobile learning;Students' acceptance;Students' intention;Unified theory of acceptance and use of technology (UTAUT)
Issue Date: 2013
Publisher: Athabasca University Press
Citation: International Review of Research in Open and Distance Learning, 14 (5): 82 - 107, (2013)
Abstract: 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.
URI: http://www.irrodl.org/index.php/irrodl/article/view/1631/2749
http://bura.brunel.ac.uk/handle/2438/10461
ISSN: 1492-3831
Appears in Collections:Dept of Computer Science Research Papers

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