RESEARCH PAPER
Students’ Satisfaction and Factors in Using Mobile Learning among College Students in Kuwait
Ahmad Sulaiman 1  
,  
 
 
More details
Hide details
1
Kuwait University College of Education, Kuwait, KUWAIT
2
Gulf University for Science and Technology, Kuwait, KUWAIT
Online publish date: 2018-05-14
Publish date: 2018-05-14
 
EURASIA J. Math., Sci Tech. Ed 2018;14(7):3181–3189
KEYWORDS
ABSTRACT
Mobile learning (ML) technology and its services have provided a new platform for higher education institutions to enhance the learning process. Mobile learning provides learners with flexibility and ubiquity. However, students’ satisfaction and factors of using ML in private and public universities remain academically unexplored. In this study, the constructivism learning theory was applied to investigate students’ satisfaction and the factors that predict the use of ML among public and private university students in the learning process. The researchers developed a questionnaire with 43 items to gather information about the degree of students’ satisfaction and factors in using mobile learning among college students for both public and private universities in Kuwait. A sample of 1,012 undergraduate students were randomly selected from three different universities in Kuwait. The study was conducted in the second semester of 2015/2016. The results showed that females were more likely to be satisfied with smartphones for educational purposes than males and that Kuwaiti students tend to be more satisfied with smartphones for educational purposes than non-Kuwaiti students. Factors used to predict students’ satisfaction with ML were Internet speed, smartphone portability, smartphone skills, screen size, gender, nationality, and college. The researchers suggest expanding the current study to include graduate students.
 
REFERENCES (31)
1.
Al-Fahad, F. N. (2009). Students’ attitudes and perceptions towards the effectiveness of mobile learning in King Saud University, Saudi Arabia. Turkish Online Journal of Educational Technology, 8, 10.
 
2.
Alfailakawi, Y. (2004). Kuwait university students use mobile learning. Arab Journal of Human Sciences, 22, 163.
 
3.
Alqahtani, M., & Mohammad, H. (2015). Mobile applications’ impact on student performance and satisfaction. Turkish Online Journal of Educational Technology, 14, 102-112.
 
4.
Astin, A. W. (1993). What matters in college: Four critical years revisited (Vol. 1). San Francisco, CA: Jossey-Bass.
 
5.
Bada, S. O. (2015). Constructivism learning theory: A paradigm for teaching and learning. Journal of Research & Method in Education, 6, 66-70.
 
6.
Bolliger, D. U. (2004). Key factors for determining student satisfaction in online courses. International Journal on E-learning, 3, 61-67.
 
7.
Bolliger, D. U., & Wasilik, O. (2009). Factors influencing faculty satisfaction with online teaching and learning in higher education. Distance Education, 30, 103-116. https://doi.org/10.1080/015879....
 
8.
Brenner, J. (2013). Pew Research Center’s Internet & American Life Project. Pew Internet: Mobile. Retrieved November 16, 2013.
 
9.
Bruner, J. S. (1966). Toward a theory of instruction (Vol. 59). Cambridge, MA: Harvard University Press.
 
10.
Dikkers, S. (2012). Dewey buys a smart phone. In S. Dikkers, J. Martin, & B. Coulter (Eds.), Mobile media learning (pp. 19-26). Berlin: Springer-Verlag.
 
11.
Driscoll, M., & Van Barneveld, A. (2015). Applying learning theory to mobile learning (Vol. 32). American Society for Training & Development.
 
12.
Hassanein, K., & Wang, F. (2010). Understanding student satisfaction in a mobile learning environment: The role of internet and external facilitators. Paper presented at the IEEE Computer Society, Canada. https://doi.org/10.1109/ICMB-G....
 
13.
Hein, G. E. (1991). Constructivist learning theory. Retrieved from https://www.exploratorium.edu/....
 
14.
Ichikawa, F., Chipchase, J., & Grignani, R. (2005). Where’s the phone? A study of mobile phone location in public spaces. Paper presented at the 2005 2nd Asia Pacific Conference on Mobile Technology, Applications and Systems, Guangzhou, China.
 
15.
Koszalka, T. A., & Ntloedibe‐Kuswani, G. S. (2010). Literature on the safe and disruptive learning potential of mobile technologies. Distance Education, 31, 139-157. https://doi.org/10.1080/015879....
 
16.
Leonard, H. (2013). There will soon be one smartphone for every five people in the world. Business Insider.
 
17.
Liaw, S. (2008). Investigating students’ perceived satisfaction, behavioral intention, and effectiveness of e-learning: A case study of the Blackboard system. Computers & Education, 51, 864-873. https://doi.org/10.1016/j.comp....
 
18.
Lunenburg, F. C. (2011). Critical thinking and constructivism techniques for improving student achievement. National Forum of Teacher Education Journal, 21, 1-9.
 
19.
McQuiggan, S., Kosturko, L., McQuiggan, J., & Sabourin, J. (2015). Mobile technology: A handbook for developers, educators, and learners. New Jersey: Wiley.
 
20.
Moses, O. O. (2008). Improving mobile learning with enhanced Shih’s model of mobile learning. Online Submission, 5, 22-28.
 
21.
Murphy, E. (1997). Constructivism: From philosophy to practice (Report No. 039420). Lanham, Maryland. (ED444966).
 
22.
Oxford English Dictionary. (2007). Oxford English dictionary online. JSTOR.
 
23.
Peng, H., Su, Y. J., Chou, C., & Tsai, C. C. (2009). Ubiquitous knowledge construction: Mobile learning re-defined and a conceptual framework. Innovations in Education and Teaching international, 46, 171-183. https://doi.org/10.1080/147032....
 
24.
Rice, M. L., & Wilson, E. K. (1999). How technology aids constructivism in the social studies classroom. The Social Studies, 90, 28-33. https://doi.org/10.1080/003779....
 
25.
Sachs, D., & Hale, N. (2003). Pace university’s focus on student satisfaction with student services in online education. Journal of Asynchronous Learning Networks, 7, 36-42.
 
26.
Sarigöz, O. (2016). An examination of vocational school students’ perceptions toward mobile learning. Journal of International Social Research, 9, 1485-1491. https://doi.org/10.17719/jisr.....
 
27.
Sawang, S., Newton, C., & Jamieson, K. (2013). Increasing learners’ satisfaction/intention to adopt more e-learning. Education+ Training, 55, 83-105. https://doi.org/10.1108/004009....
 
28.
Siemens, G. (2005). Connectivism: A learning theory for the digital age. International Journal of Instructional Technology & Distance Learning. Retrieved from http://www.itdl.org/journal/ja....
 
29.
Tan, G. W.-H., Ooi, K.-B., Sim, J.-J., & Phusavat, K. (2012). Determinants of mobile learning adoption: An empirical analysis. Journal of Computer Information Systems, 52, 82-91.
 
30.
Wali, E., Winters, N., & Oliver, M. (2008). Maintaining, changing and crossing contexts: An activity theoretic reinterpretation of mobile learning. ALT-J, 16, 41-57. https://doi.org/10.3402/rlt.v1....
 
31.
Wang, M., Shen, R., Novak, D., & Pan, X. (2009). The impact of mobile learning on students’ learning behaviours and performance: Report from a large blended classroom. British Journal of Educational Technology, 40, 673-695. https://doi.org/10.1111/j.1467....
 
eISSN:1305-8223
ISSN:1305-8215