Mobile devices are commonly used among higher education students and becoming the daily culture of almost every students. Mobile apps is one of the applications used in teaching and learning via mobile devices. However, it is important that students should have positive attitudes towards adopting these mobile devices in learning. This study explored students’ attitudes towards integrating mobile apps in the teaching and learning process and factors corelated with their attitudes. A total of 223 undergraduate students who registered in MCLass were randomly selected from a stratified cluster sample. The research examined three factors postulated to impact students’ attitudes namely, mobile self-efficacy, personal innovativeness and readiness towards Mclass. The findings showed students had positive attitudes towards Mclass teaching and learning. Further analysis indicated students’ attitudes towards MClass were positively correlated with students’ mobile self-efficacy [r = .254; p <.01], students’ personal innovativeness [r = .404; p <.01] and readiness towards MClass [r = .718; p <.01]. Further analysis using multiple regression indicated that mobile self-efficacy (??= .145), personal innovativeness (??= .117) and readiness towards MCLass (?= .655) influence students’ attitudes towards using MCLass.
Abu-Al-Aish, A., Love, S., & Hunaiti, Z. (2012). Mathematics students’ readiness for mobile learning. International Journal of Mobile and Blending Learning, 4(4), 1-20.
Abas, Z. W., Peng, C. L. & Mansor, N. (2009). A study on learner readiness for mobile learning at Open University Malaysia. Paper presented at the IADIS International Conference Mobile Learning. Barcelona, 26-28 February 2009.
Agarwal, R & Prasad, J. (1998). A Conceptual and Operational Definition of Personal Innovativeness in the Domain of Information Technology, Information Systems Research, 9(2), 204–15.
Attewell, J. (2005). From research and development to mobile learning: Tools for education and training providers and their learners, Paper presented at the 4th World Conference on m-learning Cape Town, South Africa. Retrieved April 2015 from
Benson, V., & Morgan, S. (2013). Student experience and ubiquitous learning in higher education: Impact of wireless and cloud applications. Creative Education, 4(8A), 1-5.
Compeau, D. R. & Higgins, C.A. (1995). Computer Self Efficacy: Development of Measure and Initial Test, MIS Quartely, 19(2), 189 – 211.
Dashti, F. A., & Aldashti, A. A. (2015). EFL College Students’ Attitudes towards Mobile Learning. International Education Studies. 8(8), 13 – 22.
Georgieva, E., Smrikarov, A., & Georgiev, T. (2005). A general classification of mobile learning systems. International conference on computer systems and technologies-CompSysTech. 1-6
Isman, A., & Celikli, G. E. (2009). How does student ability and self-efficacy affect the usage of computer technology? The Turkish Online Journal of Educational Technology, 8(1), 33-38.
Jaradat, R. M. (2014). Students' Attitudes and Perceptions towards using m-learning for French Language Learning: A case study on Princess Nora University. Int. J. Learn. Man. Sys. 2(1), 33-44
Johnson, L., Adams, S., & Cummins, M. (2012). Mobile apps. The NMC horizon report: 2012 higher education edition. Austin, Texas: The New Media Consortium
Krysik, J., & Finn, J. (2013). Research for effective social work practice. NY: Routledge.
Kukulska-Hulme, A. (2007). Mobile Usability in Educational Contexts: What have we learnt?. The International Review of Research in Open and Distributed Learning, 8(2). 1 – 16.
Lee, C-C., Hsieh, M – C., & Huang, H-C. (2011). Influence of Mobile Self-efficacy on Attitude towards Mobile Advertising. Advances in Information Sciences and Service Sciences. 3(3), 100- 108.
Lewis, W., Agarwal, R., & Sambamurthy, V. (2003). Sources of Influence on Beliefs about Information Technology Use: An Empirical Study of Knowledge Workers, MIS Quarterly. 27(2003), 657–678.
Liaw, S. S., Huang, H. M., & Chen, G. D. (2007). Surveying instructor and learner attitudes toward e-learning. Computers & Education, 49(4), 1066-1080.
López-Nicolás, C., Molina-Castillo, F.J. & Bouwman, H. (2008). An assessment of advanced mobile services acceptance: contributions from TAM and diffusion theory model, Information & Management, 45(6), 359-364.
Mahat, J., Mohd Ayub, A.F., & Su Luan, Wong. (2012). An Assessment of Students’ Mobile Self-Efficacy, Readiness and Personal Innovativeness towards Mobile Learning in Higher Education in Malaysia. Procedia - Social and Behavioral Sciences. 64(2012) 284 – 290
MacCallum, R. (1986). Specification searches in covariance structure modeling. Psychological Bulletin, 100(1), 107-120.
Mobile Marketing Association. (2008). Mobile Applications. Retrieved January 15, 2014, from https://www.mmaglobal.com/files/mobileapplications.pdf
Naismith, L., Lonsdale, P., Vavoula, G., & Sharples, M. (2004). Literature review in mobile technologies and learning. Futurelab Series, University of Birmingham. Retrieved December 20, 2013, from http://archive.futurelab.org.uk/
OnGuardOnline.gov. (2011). Understanding mobile apps: Questions & answers. Retrieved January 15, 2014, from http://www.onguardonline.gov/articles/0018-understanding-mobile-apps
Parasuraman, A. (2000). Technology readiness index (TRI): a multiple-item scale to measure readiness to embrace new technologies. Journal of Service Research, 2(4), 307-320.
Pollara, P. (2011, November). Mobile learning in higher education: A glimpse and a comparison of student and faculty readiness, attitudes and perceptions. Neurosurgery. Louisiana State University. Retrieved from http://www.ncbi.nlm.nih.gov/pubmed/17690829
Rogers, E. M. (1995). Diffusion of Innovations (4th ed.). New York: The Free Press.
Saleem, H., Beaudry, A., & Croteau, A-M. (2011). Antecedents of computer self- efficacy: A study of the role of personality traits and gender. Computers in Human Behavior, 27, 1922–1936.
Saraubon, K., Nilsook, P., & Wannapiroon, P. (2016). System Design of Mobile Augemented Book. International Journal of Interactive Mobile Technologies, 10(1), 52-59
Sánchez-Franco, M. J., Martínez-López, F. J., & Martín-Velicia, F. A. (2009). Exploring the impact of individualism and uncertainty avoidance in web-based electronic learning: An empirical analysis in European higher education. Computers & Education. 52(3), 588-598.
Stockwell, G. (2008). Investigating learner preparedness for and usage patterns of mobile learning. ReCALL. 20(3), 253-270.
Tsai, P-S., Tsai, C-C & Hwang, G-H. (2010). Elementary school students’ attitudes and self-efficacy of using PDAs in a ubiquitous learning context. Australasian Journal of Educational Technology, 26(3), 297-308.
Usher, E. L., & Pajares, F. (2008). Sources of self-efficacy in school: Critical review of the literature and future directions. Review of Educational Research, 78(4), 751-796.
Wagner, E. D. (2005). Enabling Mobile Learning. EDUCAUSE Review. 40(3), 40 –5
Yang, S-H. (2012). Exploring College Students’ Attitudes and Self-Efficacy of Mobile Learning. The Turkish Online Journal of Educational Technology. 11(4), 148-154.
Ayub, A. F. M., Zaini, S. H., Luan, W. S., & Jaafar, W. M. W. (2017). The Influence of Mobile Self-efficacy, Personal Innovativeness and Readiness towards Students’ Attitudes towards the use of Mobile Apps in Learning and Teaching. International Journal of Academic Research in Business and Social Sciences, 7(14), 340-349.
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