Title :
Mobile learning-system usage: An integrated framework to measure students´ behavioural intention
Author :
Alharbi, Saleh ; Drew, Steve
Author_Institution :
Sch. of ICT, Griffith Univ., Gold Coast, QLD, Australia
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.
Keywords :
computer aided instruction; further education; IS success model; UTAUT; acceptance measures; acceptance-of-technology; education providers; effort expectancy; information quality; information system; mobile learning-system; mobile technology; performance expectancy; positive behavioural intention; social influence; student behavioural intention measurement; system quality; system-success study; unified theory of acceptance and use of technology; user satisfaction; Context; Educational institutions; Mobile communication; Mobile handsets; Portable computers; Predictive models; Higher education; IS Success; Mobile learning; UTAUT;
Conference_Titel :
Science and Information Conference (SAI), 2014
Conference_Location :
London
Print_ISBN :
978-0-9893-1933-1
DOI :
10.1109/SAI.2014.6918294