Malaysian University Students’ Use of Mobile Phones for Study

Darren Pullen, J-F J-F, Karen Swabey, M Abadooz, Termit Kaur Ranjit Sing


Mobile technology coupled with Internet accessibility has increased not only how we communicate but also how we might engage in learning. The ubiquity of mobile technology, such as smart phones and pad devices (e.g. iPad), makes it a valuable tool for accessing learning resources on the Internet. The unified theory of acceptance and use of technology (UTAUT) model has been used in previous studies to investigate how different forms of technology have been used and accepted. This paper reports on mobile technology use and acceptance using the UTAUT model as a theoretical framework to examine how a group of Malaysian pre-services teachers’ utilised mobile technology for their learning. The study found that performance expectancy, effort expectancy, social influence, attitude toward technology and self efficiently are all significant determinants of behavioural intentions to use mobile devices for learning. The researchers conclude that the result of their study has far-reaching implications for educational providers to understand how students’ use mobile technologies as a key component of their university studies.


Abdullah, Y Sedek, M., Mahat, J., & Zainal, N. (2012, March). Individual characteristic in online gaming and mobile application Uuse among Sstudents Iin higher Eeducation institution: A confirmatory Ffactor analysis. In Presiding Seminar Institusi Pendidikan Tinggi, 1(1).

Al-Ruz, J. A., & Khasawneh, S. (2011). Jordanian pre-service teachers’ and technology integration: A human resource development approach. Educational Technology & Society, 14, 77–87.

Anderson, J. E., & Schwager, P. H. (2004).SME adoption of wireless LAN technology: Applying the UTAUT model. Paper presented at the 7th conference of the Southern Association for Information Systems. Retrieved from:

Birch, A., & Irvine, V. (2009). Pre service teachers’ acceptance of ICT integration in the classroom: applying the UTAUT mode. Educational Media International, 46(4), 295-315.

Cox, M. (2013). Formal to informal learning with IT: Research challenges and issues for e-learning. Journal of computer assisted learning, 29(1), 85-105.

Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1989). User acceptance of computer technology: A comparison of two theoretical models. Management Science, 35(8), 982-1003.

Donaldson, R. L. (2011). Student cceptance of mobile learning. Electronic Theses, Treatises and Dissertations. Paper 716. Retrieved from:

Ely, E., Pullen, P., Kennedy, M., Hirsch, S. & Williams, C. (2014). Use of instructional technology to improve teacher candidate knowledge of vocabulary instruction. Computers and Education, 75(June), 44-52.

Gay, L. R., & Airasian, P. W. (2002). Educational research: Competencies for analysis and application (6th ed.). Upper Saddle River, NJ: Merrill.

Herrington, A., & Herrington, J. (2008),What is an authentic learning environment? In: Online and Distance Learning: Concepts, Methodologies, Tools, and Applications, Information Science Reference: 68 – 76.

Jazihan, M., Mohd Ayub, A., & Su Luan, W. (2013). Factors influence the acceptance of m-learning in Malaysia: Perceived usefulness, perceived ease of use and attitude. In Wong, L.-H. et al. (Eds.) (2013). Proceedings of the 21st International Conference on Computers in Education. Indonesia: Asia-Pacific Society for Computers in Education. Retrieved from

Kim, J. I., Ju, Y. S., Park, H., Kim, S., Lee, S., Yi, J. H., & Seo, J. S. (2009). A highly annotated whole-genome sequence of a Korean individual. Nature, 460 (7258), 1011-1015.

Kukulska-Hulme, A. (2007). Mobile usability in educational contexts: What have we learnt? International Review of Research in Open and Distance Learning, 8(2). Retrieved from:

Louho, R., Kallioja, M., & Oittinen, P. (2006). Factors affecting the use of Hybrid media applications. Graphic Arts in Finland 35(3), 11-21.

Marchewka, J., Liu, C., & Kostiwa, K. (2007). An application of the UTAUT model for understanding student perceptions using course management software. Communications of the IIMA, 7(2), 93–104.

Teo, T. (2007). A path analysis of pre-service teachers' attitudes to computer use: applying and extending the technology acceptance model in an educational context. Interactive Learning Environments, 18, 65-79.

Stern, V., & Mifsud, G. (2013). The level of internet and e-commerce doption among SME non-traditional exporters. European Journal of Innovation and Business, 11(2), 21-30.

Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly, 27(3), 425-478.

Virvou , M., & Alepis, E. (2005). Mobile educational features in authoring tools for personalised tutoring. Computers & Education, 44(1), 53–68.

Wang, Y. S. (2007). Development and validation of a mobile computer anxiety scale. British Journal of Educational Technology, 38(6), 990-1009.

Wang , Y.-S., Wu, M.-C., & Wang, H.-Y. (2009). Investigating the determinants and age and gender differences in the acceptance of mobile learning. British Journal of Educational Technology, 40(1), 92–118.

Wang, Y. S., & Shih, Y.-W. (2008). Why do people use information? A validation of the Unified Theory of Acceptance and Use of Technology. Government Information Quarterly, 26(1), 158-165.

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