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Mobile learning-system usage: An integrated framework to measure students' behavioural intention


Alharbi, Saleh and Drew, S, Mobile learning-system usage: An integrated framework to measure students' behavioural intention, Proceedings of Science and Information Conference 2014, 27-29 August 2014, London, UK, pp. 906-911. (2014) [Refereed Conference Paper]


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Creative Commons Attribution 4.0 International License

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DOI: doi:10.1109/SAI.2014.6918294


Mobile technologies have changed the shape of learning for learners, society, and education providers. Consequently, mobile learning has become a core component in modern education. Nevertheless, introducing mobile learning systems does not automatically guarantee that learners will develop a positive behavioural intention to use it and therefore use it. Thus, acceptance-of-technology and system-success studies have increased. As yet, however, much of the research regarding understanding studentsí behavioural intention to use mobile learning systems seems to suffer from several shortcomings. On top of that, there is no common cognitive theoretical foundation. This study introduces a theoretical framework that combines the Unified Theory of Acceptance and Use of Technology (UTAUT) and information system (IS) success model. This integration resulted in three success measures and two acceptance constructs. The success measures included the following: a) information quality, b) system quality, and c) user satisfaction; whilst the following were the acceptance measures: a) effort expectancy, b) performance expectancy, and c) social influence. Further, this study introduces lecture attitude as a new construct that is believed to moderate studentsí behavioural intention. The relationships between the different factors form the research hypotheses.

Item Details

Item Type:Refereed Conference Paper
Keywords:mobile learning, higher education, UTAUT, IS success
Research Division:Language, Communication and Culture
Research Group:Communication and media studies
Research Field:Communication technology and digital media studies
Objective Division:Expanding Knowledge
Objective Group:Expanding knowledge
Objective Field:Expanding knowledge in the information and computing sciences
UTAS Author:Drew, S (Dr Steve Drew)
ID Code:112034
Year Published:2014
Deposited By:Curriculum and Academic Development
Deposited On:2016-10-21
Last Modified:2018-03-19
Downloads:126 View Download Statistics

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