Evaluating learning management systems: Adoption of hexagonal e-learning assessment model in higher education

Transforming Government: People, Process and Policy

Volumn 3, Issue 2, 2009, Pages 111-130

  Ozkan, Sevgi ^a,b   Koseler, Refika ^b   Baykal, Nazife ^b  

^a BRUNEL UNIVERSITY   (United Kingdom)

^b MIDDLE EAST TECHNICAL UNIVERSITY   (Turkey)

Author keywords

E learning; Information systems; Statistical analysis

Indexed keywords

EID: 69949095492     PISSN: 17506166     EISSN: None     Source Type: Journal    
DOI: 10.1108/17506160910960522     Document Type: Article

References (41)

1. Arbaugh, J.B. and Duray, R. (2002), Echnological and structural characteristics, student learning and satisfaction with web-based course: an exploratory study of two on-line MBA programs, Management Learning, Vol. 33 No. 3, pp. 331-47.
2. Bruner, J.S. (1971), The Relevance of Education, Harvard University, Cambridge, MA.
3. Carmines, E.G. and Zeller, R.A. (1994), Reliability and validity assessment, in Lewis-Beck, M. (Ed.), Basic Measurement, Sage, London.
4. Collis, B. (1995), Anticipating the impact of multimedia in education: lessons from the literature, Computers in Adult Education & Training, Vol. 2 No. 2, pp. 136-49.
5. Davis, F.D., Bagozzi, R.P. and Warshaw, P.R. (1989), User acceptance of computer technology: a comparison of two theoretical models, Management Science, Vol. 35, pp. 982-1003.
6. DeLone, W.H. and McLean, E.R. (1992), Information systems success: the quest for the dependent variable, Information Systems Research, Vol. 3 No. 1, pp. 60-86.
7. DeLone, W.H. and McLean, E.R. (2003), The Delone and Mclean model of information systems success: a ten-year update, Journal of Management Information System, Vol. 19 No. 4, pp. 9-30.
8. Gable, G.G., Sedera, D. and Chan, T. (2003), Enterprise systems success: a measurement model, Proceedings of the 24 International Conference on Information Systems, Association for Information Systems, Seattle, WA, pp. 576-91.
9. Global Industry Analysts, Inc. (2008), e-learning: a global strategic business report, available at: www.strategyr.com/pressMCP-4107.asp (accessed April 2008).
10. Hayen, J., Cappel, J. and Roger, L. (2004), Evaluating e-learning: a case study, Journal of Computer Information Systems, Vol. 44 No. 4, pp. 49-56.
11. Haynes, R.M., Pouraghabagher, R. and Seu, A. (1997), Interactive distance education alliance (IDEA): collaborative model delivers on demand, The Journal: Technological Horizons in Education, Vol. 24 No. 8, pp. 60-3.
12. Heo, J. and Han, I. (2003), Performance measure of information systems (IS) in evolving computing environments: an empirical investigation, Information and Management, Vol. 40 No. 4, pp. 243-56.
13. Holsapple, C.W. and Lee-Post, A. (2006), Defining, assessing, and promoting e-learning success: an information systems perspective, Decision Sciences Journal of Innovative Education, Vol. 4 No. 1, pp. 67-85.
14. Initiatives, MIT-OKI Open Knowledge (2003), MIT-OKI open knowledge initiatives, available at: web.mit.edu/oki/learn/gloss.html (accessed April 2008).
15. Islas, E., Pérez, M., Rodriguez, G. and Ivonne, I.P. (2007), E-learning tools evaluation and roadmap development for an electrical utility, Journal of Theoretical and Applied Electronic Commerce Research, Vol. 2 No. 1, pp. 63-75.
16. Johnson, R.D., Hornik, S. and Salas, E. (2008), An empirical examination of factors contributing to the creation of successful e-learning environments, International Journal of Human-Computer Studies, Vol. 66 No. 5, pp. 356-69.
17. Kaiser, H.F. (1974), An index of factorial simplicity, Psychometrika, Vol. 39, pp. 31-6.
18. Kaplan-Leiserson, E. (2008), e-learning glossary, available at: www.learningcircuits.org/glossary.html (accessed April 2008).
19. Kohlberg, L. (1966), A cognitive-developmental analysis of children's sex-role concepts and attitudes, in Maccoby, E. E. (Ed.), The Development of Sex Differences, Stanford University Press, Berkeley, CA, pp. 82-173.
20. Lee, J.-K. and Lee, W.-K. (2008), The relationship of e-learner's self-regulatory efficacy and perception of e-learning environmental quality, Computers in Human Behavior, Vol. 24 No. 1, pp. 32-47.
21. Liaw, S.S. (2002), An internet survey for perceptions of computer and world wide web: relationship, prediction, and difference, Computers in Human Behavior, Vol. 18 No. 1, pp. 17-35.
22. Liaw, S.-S., Huang, H.-M. and Chen, G.-D. (2007), Surveying instructor and learner attitudes toward e-learning, Computers & Education, Vol. 49 No. 4, pp. 1066-80.
23. Moore, G.C. and Benbasat, I. (1991), Development of an instrument to measure the perceptions of adopting an information technology innovation, Information Systems Research, Vol. 2, pp. 192-222.
24. Myers, B.L., Kappelman, L.A. and Prybutok, V.R. (1998), A comprehensive model for assessing the quality and productivity of the information systems function: toward a theory for information systems assessment, Information Systems Success Measurement, IGI Publishing, Hershey, PA, pp. 94-121.
25. Passerini, K. and Granger, M.J. (2000), A development model for distance learning using the internet, Computers & Education, Vol. 34 No. 1, pp. 1-15.
26. Rai, A., Lang, S.S. and Welker, R.B. (2002), Assessing the validity of is success models: an empirical test and theoretical analysis, Information systems Research, Vol. 13 No. 1, pp. 50-69.
27. Scott, A. (1959), Attitude change by response reinforcement: replication and extension, William Sociometry, Vol. 22 No. 4, pp. 328-35.
28. Seddon, P.B. (1997), A respecification and extension of the DeLone and McLean model of IS success, Information Systems Research, Vol. 8 No. 3, pp. 240-53.
29. Selim, H.M. (2007), Critical success factors for e-learning acceptance: confirmatory factor models, International Journal of Technology Marketing, Vol. 2 No. 2, pp. 157-82.
30. Smith, B., Caputi, P. and Rawstorne, P. (2000), Differentiating computer experience and attitudes toward computers: an empirical investigation, Computers in Human Behavior, Vol. 16, pp. 59-81.
31. Spiro, R.J., Feltovich, P.J., Jacobson, M.J. and Coulson, D.K. (1995), Cognitive flexibility, constructivism, and hypertext: random access instruction for advanced knowledge acquisition in ill-structured domains, Educational Technology, Vol. 31 No. 5, pp. 24-33.
32. Sun, P.C., Tsai, R.S., Finger, G., Chen, Y.-Y. and Yeh, D. (2008), What drives a successful e-learning? An empirical investigation of the critical factors influencing learner satisfaction, Computers & Education, Vol. 50 No. 4, pp. 1183-202.
33. Tabachnick, B.G. and Fidell, L.S. (2001), Using Multivariate Statistics, 4th ed., Allyn & Bacon, Needham Heights, MA, p. 55.
34. Thurmond, V.A., Wambach, K. and Connors, H.R. (2002), Evaluation of student satisfaction: determining the impact of a web-based environment by controlling for student characteristics, The American Journal of Distance Education, Vol. 16 No. 3, pp. 169-89.
35. Volery, T. and Lord, D. (2000), Critical success factors in online education, The International Journal of Educational Management, Vol. 14 No. 5, pp. 216-23.
36. Vygotsky, L. (1978), Mind in Society, Harvard University, Cambridge, MA.
37. Wang, Y-S. (2003), Assessment of learner satisfaction with asynchronous electronic learning, Information and Management Journal, Vol. 41 No. 1, pp. 75-86.
38. Wang, Y.-S. and Liao, Y.-W. (2008), Assessing eGovernment systems success: a validation of the DeLone and McLean model of IS success, Government Information Quarterly, Vol. 25, pp. 717-33.
39. Wang, Y-S., Wang, H-Y. and Shee, D.Y. (2007), Measuring e-learning systems success in an organizational context: scale development and validation, Computers in Human Behavior, Vol. 23 No. 1, pp. 1792-808.
40. Webster, J. and Hackley, P. (1997), Teaching effectiveness in technology-mediated distance learning, Academy of Management Journal, Vol. 6 No. 40, pp. 1282-309.
41. Arbaugh, J.B. and Benbunan-Fich, R. (2007), The importance of participant interaction in online environments, Decision Support Systems, Vol. 43 No. 3, pp. 853-65.