Looking under the Bonnet: Factors affecting student adoption of E-learning systems in Jordan

International Review of Research in Open and Distance Learning

Volumn 10, Issue 2, 2009, Pages 1-25

  Abbad, Muneer Mahmood ^a   Morris, David ^b   de Nahlik, Carmel ^b  

^a UNIVERSITY OF BAHRAIN   (Bahrain)

^b Faculty of Health and Life Sciences   (United Kingdom)

Author keywords

E learning; Middle east; Structural equation modelling; System adoption; Technology acceptance model

Indexed keywords

EID: 69549128229     PISSN: None     EISSN: 14923831     Source Type: Journal    
DOI: 10.19173/irrodl.v10i2.596     Document Type: Article

References (48)

1. Ajzen, I. (1991). The theory of planned behavior. Organization Behavior and Human Decision Process, 50, 179-211.
2. Alexander, S. & McKenzie, J. (1998). An evaluation of information technology projects in university learning. Department of Employment, Education and Training and Youth Affairs, Canberra: Australian Government Publishing Services.
3. Anderson, J.C. & Gerbing, D.W. (1988). Structural equation modeling in practice: A review and recommended two-step approach. Psychological Bulletin, 103(3), 411- 423.
4. Bandura, A. (1977). Self-efficacy: Toward a unifying theory of behavioral change. Psychological Review, 84(2), 191-215.
5. Bernadette, S., (1996). Empirical evaluation of the revised 'Technology Acceptance Model'. Management Science, 42(1), 85-93.
6. Bollen, P.M. (1998). Structural equations with latent variables. New York: Wiley.
7. Brown, I. Jr., & Inouye, D.K. (1978). Learned helplessness through modeling: The role of perceived similarity in competence. Journal of Personality and Social Psychology, 36(8), 900-908.
8. Carswell, A. D. & Venkatesh, V. (2002). Learner outcomes in an asynchronous distance educational environment. International Journal of Human-Computer Studies. 56(5), 475-494.
9. Chau, P.Y.K. (1996). An empirical assessment of a modified technology acceptance model. Journal of Management Information Systems, 13(2), 185-204.
10. Chen L., Gillenson, M.L., & Sherrell, D.L. (2002). Enticing online consumers: An extended technology acceptance perspective. Information and Management, 39(8), 705-719.
11. Cohen, J. (1992). A power primer. Psychological Bulletin, 11, 155-159.
12. Davis, F. D. (1986). A technology acceptance model for empirically testing new end-user information systems: Theory and results. Doctoral dissertation, Sloan School of Management, Massachusetts Institute of Technology.
13. Davis, F.D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319-340.
14. Davis, F.D., Bagozzi, R.P., & Warshaw, P.R. (1989). User acceptance of computer technology: A comparison of two theoretical models. Management Science, 35(8), 982.
15. de Nahlik, C.F. & Morris, D. (2008). Different roads: The impact of prior learning trajectories and the successful integration of international students in a UK university. Working paper in progress available at https://curve.coventry.ac.uk/cu/access/search.do?method=basic&qs.query=different+roads&x=13&y=11
16. Di Benedetto, C. A., Calantone, R. J., & Zhang, C. (2003). International technology transfer: Model and exploratory study in the People's Republic of China. International Marketing Review, 20(4), 446-462.
17. Efferson, C., Lalive, R., Richerson, P., Mcelreath, R., & Lubell, M. (2006). Models and anti-models: The structure of payoff-dependent social learning. Zurich IEER Working Paper No. 290, (May 2006). Available at SSRN: http://ssrn.com/abstract=905250
18. ELCU (2002). Jordan will become IT hub for the region. E-Learning Coordination Unit: Ministry of Education, Jordan. Available at http://www.moe.gov.jo/learning/vision_11.htm
19. Fishbein, M. & Ajzen, I. (1975). Belief, attitude, intention and behavior: An introduction to theory and research. Reading, MA: Addison-Wesley.
20. Gefen, D. & Straub, D. (1997). Gender differences in the perception and use of e-mail: An extension to the Technology Acceptance Model. Management Information Systems Quarterly, 21(4), 389-400.
21. th ed.). Englewood Cliffs: Prentice Hall.
22. Hasan, H. & Ditsa, G., (1998). The impact of culture on the adoption of IT: An interpretive study. Journal of Global Information Management, 7(1), 5-15.
23. Hoyle, R. H. and Panter, A. T., (1995). Writing about structural equation models. In R. H. Hoyle (Ed.), Structural equation modeling (pp. 158-176). Thousand Oaks, CA: Sage.
24. Igbaria, M., Gamers, T., & Davis, G.B. (1995). Testing the determinants of micro-computer usage via a structural equation model. Journal of Management Information Systems, 11(4), 87-114.
25. Keller, C. & Cernerud, L. (2002). Students' perception of e-learning in university education. Learning, Media and Technology, 27(1), 55-67.
26. Kerka, S. (1999). Distance learning, the Internet, and the World Wide Web. ERIC Digest. (ERIC Document Reproduction Service No. ED 395214).
27. Kline, R.B., (1998). Principles and practice of structural equation modeling. New York, NY: The Guilford Press.
28. LaRose, R., Gregg, J., & Eastin, M. (1998). Audio graphic tele-courses for the Web: An experiment. Journal of Computer Mediated Communications, 4(2).
29. Lee, Ya-Ching. (2006). An empirical investigation into factors influencing the adoption of an e-learning system. Online Information Review, 30(5), 517-541.
30. MacCallum, R.C. (1986). Specification searches in covariance structure modeling. Psychological Bulletin, 101(1), 107-120.
31. Mahmood, M. A., Hall, L., & Swanberg, D. L. (2001). Factors affecting information technology usage: A meta-analysis of the empirical literature. Journal of Organizational Computing and Electronic Commerce, 11(2), 107-130.
32. Maslow, A. H. (1943). A theory of human motivation. Psychological Review, 50, 370-396.
33. Mathieson, K. (1991). Predicting user intentions: comparing the Technology Acceptance Model with the theory of planned behavior. Information Systems Research, 2(3), 173-191.
34. Moon, J. & Kim, Y. (2001). Extending the TAM for a World Wide Web context. Information and Management, 38(4), 217-231.
35. Morss, D.A. (1999). A study of student perspectives on Web-based learning: WebCT in the classroom. Internet Research, 9(5), 393-408.
36. Nasser, R. & Abouchedid, K. (2000). Attitudes and concerns towards distance education: The case of Lebanon. Online Journal of Distance Learning Administration, 3(4), 1-10.
37. Ngai, E.W.T., Poon, J.K.L., & Chan, Y.H.C. (2007). Empirical examination of the adoption of WebCT using TAM. Computers & Education, 48(2), 250-267.
38. Riemenschneider, C. K. & McKinney, V. R. (2001). Assessing belief differences in small business adopters and non-adopters of web-based E-commerce. Journal of Computer Information Systems, 42(2), 101-107.
39. Saadē, R. & Bahli, B (2005). The impact of cognitive absorption on perceived usefulness and perceived ease of use in on-line learning: an extension of technology acceptance model. Information & Management, 42(2), 317-327.
40. Selim, H.M. (2003). An empirical investigation of student acceptance of a course websites. Computers & Education, 40(4), 343-360.
41. Soong, M.H.B., Chan H.C., Chua, B.C., & Loh, K.F. (2001). Critical success factors for on-line course resources. Computers & Education, 36(2), 101-120.
42. Taylor, S. & Todd, P.A. (1995). Understanding information technology usage: a test of competing models. Information Systems Research, 6(2), 144-176.
43. Venkatesh, V. (1999). Creation of favorable user perceptions: exploring the role of intrinsic motivation. Management Information Systems Quarterly, 23(2), 239-60.
44. Venkatesh, V. & Davis, F.D. (1996). A model of the antecedents of perceived ease of use: development and test. Decision Sciences, 27(3), 451-81.
45. Venkatesh, V. & Davis, F. D. (2000). A theoretical extension of the technology acceptance model: Four longitudinal field studies. Management Science, 46(2), 186-204.
46. Venkatesh, V., Morris, M.G., Davis, G.B., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. Management Information Systems Quarterly, 27(3), 426-478
47. Williams, P. (2002). The Learning Web: the development, implementation, and evaluation of Internet-based undergraduate materials for the teaching of key skills. Active Learning in Higher Education, 3(1), 40-53.
48. Wood, R. & Bandura, A. (1989). Social cognitive theory of organizational management. Academy of Management Review, 14(3), 361-384.