The impact of individual differences on e-learning system satisfaction: A contingency approach

British Journal of Educational Technology

Volumn 41, Issue 2, 2010, Pages 307-323

  Lu, Hsi Peng ^a   Chiou, Ming Jen ^a  

^a NATIONAL TAIWAN UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Taiwan)

Author keywords

[No Author keywords available]

Indexed keywords

INDIVIDUAL DIFFERENCES; JOB STATUS; LEARNING STYLE; MODERATING EFFECT; ONLINE INSTRUCTIONS; STRUCTURAL EQUATION MODELLING; STUDENTS' SATISFACTION; UNIVERSITY STUDENTS;

LEARNING SYSTEMS; ONLINE SYSTEMS; REGRESSION ANALYSIS; STUDENTS;

E-LEARNING;

EID: 76849094888     PISSN: 00071013     EISSN: 14678535     Source Type: Journal    
DOI: 10.1111/j.1467-8535.2009.00937.x     Document Type: Article

References (38)

1. Allen, E. Seaman, J. (2004). Entering the mainstream: the quality and extent of online education in the United States, 2003 and 2004 Vol. 27. Needham, MA : Sloan Center for Online Education.
2. Bagozzi, R. P. Yi, Y. (1988). On the evaluation of structural equation models. Journal of the Academy of Marking Science, 16, 74 94.
3. Bollen, K. A. (1989). Structural equation with latent variables. New York : Wiley.
4. Chiu, C. M., Hsu, M. H., Sun, S. Y., Lin, T. C. Sun, P. C. (2005). Usability, quality, value and e-learning continuance decisions. Computers & Education, 45, 399 416.
5. Cohen, J. Cohen, P. (1988). Applied multiple regression/correlation analysis for the behavioral sciences (2nd ed.). Hillsdale, NJ : Lawrence Erlbaum Associates.
6. Cronbach, L. J. (1951). Coefficient alpha and the internal structure of tests. Psychometrika, 16, 294 334.
7. DeLone, W. D. McLean, E. R. (1992). Information systems success: the quest for the dependent variable. Information Systems Research, 3, 60 95.
8. DeLone, W. D. McLean, E. R. (2003). The DeLone and McLean model of information systems success: a ten-year update. Journal of Management Information Systems, 19, 9 30.
9. Doll, W. J. Torkzadeh, G. (1988). The measurement of end-user computing satisfaction. MIS Quarterly, 12, 259 274.
10. Federico, P. A. (2000). Learning styles and student attitudes toward various aspects of network-based instruction. Computers in Human Behavior, 16, 359 379.
11. Fiedler, F. E. (1967). A theory of leadership effectiveness. New York : McGraw-Hill.
12. Gallagher, S. (2004). Online distance education market update: a nascent market begins to mature. Boston, MA : Eduventures, Inc. Retrieved from http://www.eduventures.com
13. Garland, D. Martin, B. N. (2005). Do gender and learning style play a role in how online courses should be designed? Journal of Interactive Online Learning, 4, 67 81.
14. Harris, R. N., Dwyer, W. O. Leeming, F. C. (2003). Are learning styles relevant in web-based instruction? Journal of Educational Computing Research, 29, 13 28.
15. James, G. W. (2001). Take the ID road to success. Training and Development, 55, 16 17.
16. Joint Information Systems Committee (JISC) 2007). Effective practice with e-learning: a good practice guide in designing for learning. Retrieved October 25, 2007, from http://www.jisc.ac.uk/media/documents/publications/ effectivepractice.pdf
17. Kim, K.-J. Bonk, C. J. (2006). The future of online teaching and learning in higher education: the survey says Educause Quarterly, 29, 22 30.
18. Kolb, D. A. (1976). Learning style inventory: technical manual. Boston : McBear.
19. Kolb, D. A. (1984). Experiential learning: experience as the source of learning and development. Englewood Cliffs, NJ : Prentice Hall.
20. Kolb, D. A. (1999). Learning style inventory: version 3. Boston : Hay/McBer Training Resources Group.
21. Lee, Y. K. (2007). Understanding e-learning consumers: the moderating effects of gender and learner diversity. The Journal of American Academy of Business, Cambridge, 11, 223 230.
22. Lee, Y. K., Tseng, S. P., Liu, F. J. Liu, S. C. (2007). Antecedents of learner satisfaction toward e-learning. The Journal of American Academy of Business, Cambridge, 11, 161 168.
23. Liegle, J. O. Janicki, T. N. (2006). The effect of learning styles on the navigation needs of web-based learners. Computers in Human Behavior, 22, 885 898.
24. Lu, J., Yu, C. S. Liu, C. (2003). Learning style, learning patterns, and learning performance in a WebCT-based MIS course. Information & Management, 40, 497 507.
25. Masiello, I., Ramberg, R. Lonka, K. P. O. (2005). Attitudes to the application of a web-based learning system in a microbiology course. Computers & Education, 45, 171 185.
26. McDonald, R. P. Ho, M. R. (2002). Principles and practice in reporting structural equation analysis. Psychological Methods, 7, 64 82.
27. McKeen, J. D., Guimaraes, T. Wetherbe, J. C. (1994). The relationship between user participation and user satisfaction: an investigation of four contingency factors. MIS Quarterly, 18, 427 451.
28. Merrill, M. D., Drake, L., Lacy, M. J., Pratt, J. A. the ID2 Research Group at Utah State University 1996). Reclaiming instructional design. Educational Technology, 36, 5 7.
29. Netemeyer, R., Bentler, P., Bagozzi, R., Cudeck, R., Cote, J., Lehmann, D. et al (2001). Structural equations modeling. Journal of Consumer Psychology, 10, 83 100.
30. Nunnally, J. C. (1978). Psychometric theory. New York : McGraw-Hill.
31. Ong, C. S. Lai, J. Y. (2006). Gender differences in perceptions and relationships among dominants of e-learning acceptance. Computers in Human Behavior, 22, 816 829.
32. Wang, K. H., Wang, T. H., Wang, W. L. Huang, S. C. (2006). Learning styles and formative assessment strategy: enhancing student achievement in web-based learning. Journal of Computer Assisted Learning, 22, 207 217.
33. Wang, Y. S. (2003). Assessment of learner satisfaction with asynchronous electronic learning systems. Information & Management, 41, 75 86.
34. Woodward, J. (1965). Industrial organisation: theory and practice. London : Oxford University Press.
35. Yang, H. (1993). Confucius (K'ung Tzu). Prospects: the quarterly review of comparative education, XXIII, 211 219.
36. Yanosky, R. (2004). Higher-education e-learning grows up. Stamford, Connecticut, USA : Gartner Group.
37. Zastrocky, M., Yanosky, R. Harris, M. (2004). E-learning in higher education: a quiet revolution. Stamford, Connecticut, USA : Gartner Group.
38. Zhang, D. Nunamaker, J. F. (2003). Powering e-learning in the new millennium: an overview of e-learning and enabling technology. Information Systems Frontiers, 5, 207 218.