Mobile Learning Adoption among Tertiary Students
Abstract
The purpose of this study is to investigate the adoption of mobiles learning among higher institution students and the impact on their on their academic achievement. Data was collect from students of four higher institutions around Melaka. A questionnaire survey was distribute to selected higher institutions in order to collect the data for the research. The study used convenience-sampling method to select the samples. Two hundred (200) respondents was participated in the study. Regression analysis were conduct to examine the effect of digital mobile learning device elements on the higher institution students' performance. The results of this study indicates that only perceived convenience has a significant positive relationship with student performance. However, there are no significant relationship between perceived information accuracy and perceives mobility and students’ academic achievement. The results also provide practitioners with guidelines for implementing digital mobile learning among tertiary students.
References
Ajzen, I. 1991. “The theory of planned behavior”. Organizational Behavior and Human Decision Processes, Vol. 50, No. 2, pp. 179-211.
Bandura, A. 1986. Social foundations of thought and action: a social cognitive theory. Englewood Cliffs, NJ: Prentice Hall.
Chen, C.C. 2013. “The exploration on network behaviors by using the models of Theory of planned behaviors (TPB), Technology acceptance model (TAM) and C-TAM- TPB”. African Journal of Business Management, Vol. 7, No. 30, pp. 2976-2984.
Cobcroft, R. S., Towers, S., Smith, J. and Bruns, A. 2006. "Mobile learning in review: Opportunities and challenges for learners, teachers, and institutions". In Proceedings Online Learning and Teaching (OLT) Conference, pp. 21-30, Queensland University of Technology, Brisbane.
Compeau, D., Higgins, C.A. and Huff, S. 1999. “Social cognitive theory and individual reactions to computing technology: A longitudinal study”. MIS Quarterly, Vol. 23, No. 2, pp. 145- 158.
Davis, F.D. 1989. “Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology”. MIS Quarterly, Vol. 13, No. 3, pp. 319-340.
Davis, F.D., Bagozzi R.P. and Warshaw, P.R. 1992. “Extrinsic and intrinsic motivation to use computers in the workplace”. Journal of Applied Social Psychology, Vol. 22, No. 14, pp. 1111-1132.
Dodd, C., Kirby, D., Seifert, T. and Sharpe, D. 2009. "The impact of high school distance e-learning experience on rural students’ university achievement and persistence". Online Journal of Distance Learning Administration, Vol. 7(1), pp.77-86.
El-Hussein, M.O.M and Johannes, C.C. 2010. "Defining mobile learning in the higher education landscape." Journal of Educational Technology and Society, Vo. 13, No. 3, pp 12.
Fishbein, M.A. and Ajzen, I. 1975. Belief, attitude, intention and behavior: An introduction to theory and research. Reading, MA: Addison-Wesley.
Geser, H. 2004. “Towards a sociological theory of the mobile phone”. In Sociology in Switzerland: Sociology of the mobile phone. Zuerich. [Online]. Available at http://socio.ch/mobile/t_geser1.htm. [Accessed 04.08.2017].
Gikas J. and Grant, M.M. 2013. “Mobile computing devices in higher education: student perspectives on learning with cellphones, smartphones & social media”. The Internet and Higher Education, Vol.19, pp. 18-26.
Insook, H. and Won, S.S. 2016. "The use of a mobile learning management system and academic achievement of online students." Computers & Education Vol. 102, pp. 79-89.
ITU. 2017. ICT facts and figures [online]. Available at www.itu.int/en/ITU-D/ Statistics/Documents/facts/ ICTFactsFigures2017.pdf. [Accessed 03.08.2017].
Kearney, M., Burden, K. and Rai, T. 2015. “Investigating teachers’ adoption of signature mobile pedagogies”, Computers & Education, Vol. 80, pp. 48-57.
Klimova B. and Poulova, P. 2016. "Mobile Learning in Higher Education". Advanced Science Letters, Vol. 22, No. 5-6, pp. 1111-1114.
Koehler, M.J., Punya, M., Bouck, E., DeSchryver, C.M., Kereluik, K., Shin, T. S. and Wolf, L. G. 2011. "Deep-play: Developing TPACK for 21st century teachers." International Journal of Learning Technology, Vol. 6, No. 2, pp. 146-163.
Liaw, S.S. Hatala, M. and Huang, H.M. 2010. “Investigating acceptance toward mobile learning to assist individual knowledge management: based on activity theory approach”. Computers & Education, Vol. 54, No. 2, pp. 446-454.
Mifsud, L. 2014. “Mobile learning and the socio-materiality of classroom practices”, Learning, Media and Technology, Vol. 39 No. 1, pp. 142-149.
Moore, G.C. and Benbasat, I. 1991. “Development of an instrument to measure the perceptions of adopting an information technology innovation”. Information Systems Research, Vol. 2, No. 3, pp. 192-222.
N. Pachler, B. Bachmair and J. Cook. 2010. Mobile Learning: Structures, agency, practices. London: Springer.
N.A. 2017. Internet World Stats. [Online]. Available at www.internetworldstats.com/asia.my.htm. [Accessed 03.08.2017].
Ng, K.S., Ibrahim, M.A, Ahmad, A.R. and Ng, M.X.S. 2015. “Factors influencing intention to use mobile technologies for learning among technical universities students”. Innovation and Sustainable Economic Competitive Advantage: From Regional Development to Global Growth.
Pegrum, M., Howitt, C. and Striepe, M. 2013. “Learning to take the tablet: how preservice teachers use iPads to facilitate their learning”. Australasian Journal of Educational Technology, Vol. 29 No. 3, pp. 464-479.
Razali, S.N., Shahbodin, F., Hussin, H. and Bakar, N. 2015. “Online collaborative learning elements to propose an online project based collaborative learning model”. Jurnal Teknologi, Vol. 77, No. 23, pp. 55-60.
Rogers, E. 2003. Diffusion of Innovations. 5th Edition. New York: Free Press.
Sedek, M., Ahmad, R., Mahmud, R. and Jamal, A. 2017. “Utilizing UTAUT model in defining influencing factors of ubiquitous technology (u-tech) usage”. Journal of Engineering and Applied Sciences, Vo. 12, No. 7, pp. 1720-1726.
Sharples, M. 2000. "The design of personal mobile technologies for lifelong learning" Computers & Education, Vol. 34, No. 3, pp. 177-193.
Sharples, M., Taylor, J. and Vavoula, G. 2007. “A theory of learning for the mobile age”. In R. Andrews, & C. Haythornthwaite (Eds.), The handbook of e-learning research. London: Sage.
Taylor S. and Todd, P.A. 1995. “Understanding Information Technology Usage: a Test of Competing Models”. Information Systems Research, Vol. 6, No. 2, pp. 144 - 176.
Thompson, R. L., Higgins, C.A. and Howell, J.M. 1991. “Personal computing: toward a conceptual model of utilization”. MIS Quarterly, Vol. 15, No. 1, pp. 124-143.
Triandis, H. 1979. “Values, Attitudes, and Interpersonal Behaviour”. Nebraska symposium on motivation. University of Nebraska Press.
Venkatesh, V., Morris, M.G., Davis, G.B. and Davis, F.D. 2003. "User acceptance of Information techology: Toward a unified view" MIS Quarterly, Vol. 27, pp. 425-478.
Wu, W., Wu, Y.J., Chen, C., Kao, H., Lin, C. and Huang, S. 2012. “Review of trends from mobile learning studies: a meta-analysis”,
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