You are here:

Investigating students’ behavioural intention to adopt and use mobile learning in higher education in East Africa
ARTICLE

, University of Dar es Salaam, Tanzania ; , University of Tampere, Finland

IJEDICT Volume 10, Number 3, ISSN 1814-0556 Publisher: Open Campus, The University of the West Indies, West Indies

Abstract

Recent penetration of mobile technologies and its services in East Africa has provided a new platform for institutions to widen access to education through mobile learning. Mobile technologies provide learners with flexibility and ubiquity to learn anytime and anywhere via wireless Internet. However, far too little research has been conducted to investigate factors that contribute towards students' adoption and use of mobile learning in East Africa. We applied the Unified Theory of Acceptance and Use of Technology (UTAUT) model to investigate students’ behavioural intention to adopt and use mobile learning in higher education in East Africa. A sample of 823 students selected from five higher learning institutions was collected and tested against the research model using regression analysis. The results showed that, four factors: performance expectancy, effort expectancy, social influence, and facilitating conditions had significant positive effects on students’ mobile learning acceptance with performance expectancy being the strongest predictor. These findings will enable those who are involved in the implementation of mobile learning to develop mobile services that are relevant and acceptable to learners in higher education in East Africa.

Citation

Mtebe, J. & Raisamo, R. (2014). Investigating students’ behavioural intention to adopt and use mobile learning in higher education in East Africa. International Journal of Education and Development using ICT, 10(3),. Open Campus, The University of the West Indies, West Indies. Retrieved December 6, 2019 from .

Keywords

References

View References & Citations Map

These references have been extracted automatically and may have some errors. Signed in users can suggest corrections to these mistakes.

Suggest Corrections to References

Cited By

View References & Citations Map

These links are based on references which have been extracted automatically and may have some errors. If you see a mistake, please contact info@learntechlib.org.