e-Learning in the Saudi tertiary education: Potential and challenges

Applied Computing and Informatics

Volumn 9, Issue 1, 2011, Pages 31-46

  Al Harbi, Khlood Al Siraihi ^a  

^a UNIVERSITY OF LEICESTER   (United Kingdom)

Author keywords

Adoption factors; e Learning; Higher education

Indexed keywords

EID: 85047855430     PISSN: 26341964     EISSN: 22108327     Source Type: Journal    
DOI: 10.1016/j.aci.2010.03.002     Document Type: Article

References (28)

1. Abdel-Wahab, A., Modeling students’ intention to adopt e-learning a case from Egypt. TOJDE 9:1 (2008), 157–168.
2. Ajzen, I., From intentions to actions: a theory of planned behaviour. Kuhl, J., Beckmann, J., (eds.) Springer Series in Social Psychology, 1985, Springer, Berlin, 11–39.
3. Ajzen, I., Attitudes, Personality, and Behaviour. 2005, Open University Press, Milton-Keynes.
4. Arbaugh, J., Virtual classroom characteristics and student satisfaction with Internet-based MBA courses. Journal of Management Education 24 (2000), 32–54.
5. Cohen, J., Statistical Power Analysis for the Behavioural Sciences. second ed., 1988, Lawrence Erlbaum Associates, Hillsdale, NJ.
6. Davis, F., Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly 13:3 (1989), 319–340.
7. Fishbein, M., Ajzen, I., Belief, Attitude, Intention and Behaviour: An Introduction to Theory and Research. 1975, Addison-Wesley, Reading.
8. Hair, J., Black, W., Babin, B., Anderson, R., Tatham, R., Multivariate Data Analysis. sixth ed., 2006, Prentice Hall, Upper Saddle River, NJ.
9. Holmes, B., Gardner, J., e-Learning: Concepts and Practice. 2006, Sage, London.
10. Garrison, D., Anderson, T., e-Learning in the 21st Century: A Framework for Research and Practice. 2003, Routledge, New York.
11. Godin, G., Kok, G., The theory of planned behaviour: a review of its applications to health-related behaviours. American Journal of Health Promotion 11:2 (1996), 87–98.
12. Khan, B., Managing e-Learning: Design, Delivery, Implementation and Evaluation. 2005, Information Science Publishing, Hershey.
13. Koufaris, M., Applying the technology acceptance model and flow theory to online consumer behaviour. Information Systems Research 13:2 (2002), 205–223.
14. Ma, Q., Liu, L., The role of Internet self-efficacy in the acceptance of web-based medical record systems. Journal of Organizational and End User Computing 17:1 (2005), 38–57.
15. Moore, G., Benbasat, I., Development of an instrument to measure the perceptions of adopting an information technology innovation. Information Systems Research 2:3 (1991), 192–222.
16. National Centre for e-Learning and Distance Learning, 2008. .
17. Ndubisi, N., 2004. Factors influencing e-learning adoption intention: examining the determinant structure of the decomposed theory of planned behaviour constructs. In: Proceedings of HERDSA Conference, Miri, Malaysia.
18. Ndubisi, N., Factors of online learning adoption: a comparative juxtaposition of the theory of planned behaviour and the technology acceptance model. International Journal on e-Learning 5:4 (2006), 571–591.
19. Ong, C., Lai, J., Gender differences in perceptions and relationships among dominants of e-learning acceptance. Computers in Human Behaviour 22:5 (2006), 816–829.
20. Rezaei, M., Mohammadi, H., Asadi, A., Kalantary, K., Predicting e-learning application in agricultural higher education using technology acceptance model. TOJDE 9:1 (2008), 85–95.
21. Selim, H., Critical success factors for e-learning acceptance: confirmatory factor models. Computers and Education 49:2 (2007), 396–413.
22. Shih, H., Extended technology acceptance model of Internet utilization behaviour. Information and Management 41:6 (2004), 719–729.
23. Stoehl, L., Lee, K., Modeling the effect of experience on student acceptance of Web-based courseware. Internet Research: Electronic Networking Applications and Policy 13:5 (2003), 364–374.
24. Tabachnick, B., Fidell, L., Using Multivariate Statistics. fifth ed., 2007, Allyn and Bacon, Boston.
25. Taylor, S., Todd, P., Assessing IT usage: the role of prior experience. MIS Quarterly 19:4 (1995), 561–570.
26. Venkatesh, V., Determinants of perceived ease of use: integrating control, intrinsic motivation, and emotion into the technology acceptance model. Information Systems Research 11:4 (2000), 342–365.
27. Wagner, R., Werner, J., Schramm, R., 2005. An evaluation of student satisfaction with distance learning courses. In: 18th Annual Conference on Distance Teaching and Learning.
28. Yoh, E., Damhorst, M., Sapp, S., Laczniak, R., Consumer adoption of the Internet: the case of apparel shopping. Psychology and Marketing 20:12 (2003), 1095–1118.