Understanding mobile learning adoption in higher education

Understanding mobile learning adoption in higher education PurposeThis study aims to examine the factors driving an individual’s behavioural intention to adopt mobile learning in higher education.Design/methodology/approachData were collected from university students in China via a survey. A total of 192 valid responses were collected. Structural equation modelling was used to assess the research model.FindingsThe results show that both task and technology characteristics have significant impacts on task-technology fit (TTF), which in turn influences attitude. And attitude significantly affects behavioural intention. Regarding the factors, attitude was found to be the most influential predictor of mobile library adoption intention. In addition, the results provide strong support for the moderating effects of gender and experience on the relationship between TTF and behavioural intention.Originality/valueExtant research on mobile learning has mainly focused on investigating how user perceptions of mobile technology affect user adoption but has rarely considered the impact of TTF. This study attempts to fill this gap. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png The Electronic Library Emerald Publishing

Understanding mobile learning adoption in higher education

The Electronic Library, Volume 35 (5): 15 – Oct 2, 2017

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Publisher
Emerald Publishing
Copyright
Copyright © Emerald Group Publishing Limited
ISSN
0264-0473
DOI
10.1108/EL-04-2016-0093
Publisher site
See Article on Publisher Site

Abstract

PurposeThis study aims to examine the factors driving an individual’s behavioural intention to adopt mobile learning in higher education.Design/methodology/approachData were collected from university students in China via a survey. A total of 192 valid responses were collected. Structural equation modelling was used to assess the research model.FindingsThe results show that both task and technology characteristics have significant impacts on task-technology fit (TTF), which in turn influences attitude. And attitude significantly affects behavioural intention. Regarding the factors, attitude was found to be the most influential predictor of mobile library adoption intention. In addition, the results provide strong support for the moderating effects of gender and experience on the relationship between TTF and behavioural intention.Originality/valueExtant research on mobile learning has mainly focused on investigating how user perceptions of mobile technology affect user adoption but has rarely considered the impact of TTF. This study attempts to fill this gap.

Journal

The Electronic LibraryEmerald Publishing

Published: Oct 2, 2017

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