eCite Digital Repository

Mobile Learning-system usage: Scale development and empirical tests

Citation

Alharbi, S and Drew, S, Mobile Learning-system usage: Scale development and empirical tests, International Journal of Advanced Research in Artificial Intelligence, 3 (11), Science and Information Conference 2014, 27-29 August 2014, London, Heathrow, pp. 31-47. ISSN 2165-4069 (2014) [Refereed Conference Paper]


Preview
PDF
1Mb
  

Copyright Statement

Creative Commons Attribution 4.0 International License

DOI: doi:10.14569/IJARAI.2014.031105

Abstract

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 students’ 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 students’ behavioural intention. The relationships between the different factors form the research hypotheses.

Item Details

Item Type:Refereed Conference Paper
Research Division:Education
Research Group:Other education
Research Field:Other education not elsewhere classified
Objective Division:Expanding Knowledge
Objective Group:Expanding knowledge
Objective Field:Expanding knowledge in education
UTAS Author:Drew, S (Dr Steve Drew)
ID Code:111797
Year Published:2014
Deposited By:Curriculum and Academic Development
Deposited On:2016-10-07
Last Modified:2018-03-19
Downloads:128 View Download Statistics

Repository Staff Only: item control page