Solving the mystery of mobile learning adoption in higher education
by Ahmad Samed Al-Adwan; Amer Al-Adwan; Hilary Berger
International Journal of Mobile Communications (IJMC), Vol. 16, No. 1, 2018

Abstract: The rapid expansion in users of mobile devices, particularly among university students, makes mobile learning (m-learning) the modern style of learning for the new millennium. Thus, it is important to identify and explore the factors that may influence students' intention to use m-learning. In Jordan, research on mobile learning adoption is still very narrow. For the purpose of this study, we propose a framework that is based on the unified theory of acceptance and use of technology (UTAUT) model, to explore the potential factors that may impact students' intention to acceptance and use of m-learning in developing countries such as Jordan. The proposed framework is empirically tested using a total of 444 paper-based questionnaires, collected from students at four Jordanian universities. The results reveal that effort expectancy, performance expectancy, trust expectancy, self-management of learning, system functionality and social influence are significant determinants of m-learning adoption, and explain 64.8% of the variance in the students' intentions to adopt m-learning. Gender and uncertainty avoidance are found to have moderating effects on some of the relationships of the research model. These findings offer multiple useful implications for m-learning adoption, in terms of both research and practice.

Online publication date: Fri, 01-Dec-2017

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Mobile Communications (IJMC):
Login with your Inderscience username and password:

    Username:        Password:         

Forgotten your password?


Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com