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

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conference contribution
posted on 2023-05-23, 11:27 authored by Alharbi, Saleh, Steve DrewSteve Drew
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.

History

Publication title

Proceedings of Science and Information Conference 2014

Pagination

906-911

Department/School

DVC - Education

Publisher

IEEE

Place of publication

London, UK

Event title

Science and Information Conference 2014

Event Venue

London, UK

Date of Event (Start Date)

2014-08-27

Date of Event (End Date)

2014-08-29

Rights statement

Creative Commons Attribution 4.0 International License

Repository Status

  • Open

Socio-economic Objectives

Expanding knowledge in the information and computing sciences

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