THE DETERMINANT OF STUDENT’S INTENTION TO USE MOBILE LEARNING

Authors

  • Kardoyo Department of Economics Education, Semarang State University, Semarang, Indonesia
  • Ahmad Nurkhin Department of Economics Education, Semarang State University, Semarang, Indonesia
  • Sandy Arief Department of Economics Education, Semarang State University, Semarang, Indonesia

DOI:

https://doi.org/10.20319/pijss.2015.s11.102117

Keywords:

Mobile Learning, Extended-Tam, Behavioral Intention To Use, Perceived Usefullnes, Perceived Ease To Use, Attitude Toward Using

Abstract

Utilization of mobile devices (smartphones and tablets) in the field of learning continues to grow, include in the higher education learning. The purpose of this study was to investigate the factors that influence the student’s intention to use mobile learning with the Technology Acceptance Model (TAM) approach. The sample was Economic Education students of Semarang State University who have taken courses learning development. Extended-TAM by Huang et al. (2007); & Zhu et al., (2012) have been used to collect the data. Data analysis used path analysis to test hypothesis and analysis data. The result showed that the students have good ability to use their mobile gadget for learning purposes. In the extended-TAM frame, two primer factors (perceived usefulness and perceived ease to use) have positive effect to attitude toward using and behavioral intention to use. Other result showed external factors (perceived mobility value, perceived social interaction value and prior experience) proven have positive effect to perceived usefulness. Perceived enjoyment have significant relationship with perceived to use and attitude toward using.

References

Behera, Santosh Kumar. (2013). E- And M-Learning: A Comparative Study. International Journal on New Trends in Education and Their Implications, 4 (3), 65-78.

Brown, H.T. (2005). Towards a model for m-learning in Africa. International Journal on ELearning, 4 (3), 299-315.

Cheng, Yung-Ming. (2014). Exploring The Intention To Use Mobile Learning: The Moderating Role Of Personal Innovativeness. Journal of Systems and Information Technology, 16 (1), 40-61.

Cheong, Je Ho and Myeong-Cheol Park. (2005). Mobile internet acceptance in Korea. Internet Research, 15 (2), 125-140.

Geddes, S.J. (2004). Mobile learning in the 21st Century: Benefit for Learners. Knowledge Tree e-journal: An e-journal of Flexible Learning in VET, 30 (3), 214-218.

Georgiev, T., Geirgieva, E., & Smrikarov, A. (2004). M-learning: A New Stage of E-Learning.

In proceedings of International conference on computer systems and technologies, Rousse, Bulgaria. Retrieved from http://ecet.ecs.ru.acad.bg/cst04/Docs/sIV/428.pdf.

Huang, Jen-Hung, Yu-Ru Lin, and Shu-Ting Chuang. (2007). Elucidating User Behavior of Mobile Learning (A Perspective Of The Extended Technology Acceptance Model). The Electronic Library, 25 (5), 585-598.

Keegan, D. (2005, October 25-28). The Incorporation of Mobile Learning into Mainstream Education and Training. Proceedings of mLearn2005- 4th World Conference on mLearning, Cape Town, South Africa. Retrieved from

http://www.mlearn.org.za/CD/papers/keegan1.pdf

Lee, Won Jun, Tae Ung Kim, and Jay-Young Chung. (2002). User Acceptance of The Mobile Internet. Retrieved May 26, 2015 from

http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.20.573&rep=rep1&type=pdf.

Lee, Y. C. (2008). The role of perceived resources in online learning adoption. Computers and Education Journal, 50 (4), 1423-1438.

Liu, Yong. (2011). Solving the Puzzle of Mobile Learning Adoption. TUCS (Turky Centre for Computer Science) Dissertation No 134, May 2011.

Mehdipour, Yousef and Hamideh Zerehkafi. (2013). Mobile Learning for Education: Benefits and Challenges. International Journal of Computational Engineering Research, 3 (6), 93-101.

O'Malley, C., Vavoula, G., Glew, J. P., Taylor, J., & Sharples, M. (2005). Guidelines for Learning/Teaching/Tutoring in a Mobile Environment. Retrieved 25 May, 2015, from

http://www.mobilearn.org/download/results/public_deliverables/MOBIlearn_D4.1_Final.pdf

Pollara, P. (2011). Mobile Learning In Higher Education:A Glimpse And A Comparison Of Student And Faculty Readiness, Attitudes And Perceptions.

Pollara, P. and Broussard, K. K. (2011). Student Perceptions of Mobile Learning: A Review of Current Research. Society for Information Technology & Teacher Education International Conference.

Prajapati, Manoj and Jayesh M. Patel. (2014). The Factors Influencing in Mobile Learning Adoption: A Literature Review. International Journal of Application or Innovation in Engineering & Management (IJAIEM), 3 (9), 133-138.

Quinn, C. (2000). mLearning: Mobile, Wireless, In-Your-Pocket Learning. Retrieved 25 May, 2015, from http://www.linezine.com/2.1/features/cqmmwiyp.htmm.

Rauniar, Rupak, Greg Rawski, Jei Yang, and Ben Johnson. (2014). Technology acceptance model (TAM) and social media usage: an empirical study on Facebook. Journal of Enterprise Information Management, 27 (1), 6-30.

Roostika, Ratna. (2012). Mobile Internet Acceptance among University Students: A Value-based Adoption Model. International Journal of Research in Management & Technology (IJRMT), 2 (1), 21-28.

Sharma, S.K. & Kitchens, F.L. (2004). Web Services Architecture for m-learning. Electronic Journal for e-Learning), 2 (1), 203-216.

Downloads

Published

2015-07-01

How to Cite

K, ., Nurkhin, A., & Arief, S. (2015). THE DETERMINANT OF STUDENT’S INTENTION TO USE MOBILE LEARNING. PEOPLE: International Journal of Social Sciences, 1(1), 102–117. https://doi.org/10.20319/pijss.2015.s11.102117