Key factors to instructors' satisfaction of learning management systems in blended learning

Journal of Computing in Higher Education

Volumn 24, Issue 1, 2012, Pages 18-39

  Al Busaidi, Kamla Ali ^a   Al Shihi, Hafedh ^a  

^a SULTAN QABOOS UNIVERSITY   (Oman)

Author keywords

Blended learning; Critical factors to LMS; e learning; Instructors' satisfaction; Learning management system

Indexed keywords

EID: 84873029516     PISSN: 10421726     EISSN: 18671233     Source Type: Journal    
DOI: 10.1007/s12528-011-9051-x     Document Type: Article

References (58)

1. World Bank. (2010). Learning management system. Retrieved from http://web. worldbank. org.
2. Aczel, J. C., Peake, S. R., & Hardy, P. (2008). Designing capacity-building in e-learning expertise: Challenges and strategies. Computers & Education, 50, 499-510. doi: 10. 1016/j. compedu. 2007. 07. 005.
3. Albirini, A. (2006). Teachers' attitudes toward information and communication technologies: The case of Syrian EFL teachers. Computers & Education, 47, 373-398. doi: 10. 1016/j. compedu. 2004. 10. 013.
4. Al-Busaidi, K., & Al-Shihi, H. (2010). Instructors' acceptance of learning management systems: A theoretical framework. Communications of IBIMA. Retrieved from http://www. ibimapublishing. com/journals/CIBIMA/2010/862128/a862128. html.
5. Ali, A. J. (1990). Management theory in a transitional society: The Arab's experience. International Studies of Management and Organization, 20(3), 7-35.
6. Ambient Insight Research. (2011). The worldwide market for self-paced eLearning products and services: 2010-2015 forecast and analysis. Retrieved from http://www. ambientinsight. com/Resources/Documents/Ambient-Insight-2010-2015-Worldwide-eLearning-Market-Executive-Overview. pdf.
7. Bailey, J., & Pearson, S. (1983). Development of a tool for measuring and analyzing computer user satisfaction. Management Science, 29(5), 530-545. doi: 10. 1287/mnsc. 29. 5. 530.
8. Ball, D., & Levy, Y. (2008). Emerging educational technology: Assessing the factors that influence instructors' acceptance in information systems and other classrooms. Journal of Information Systems Education, 19(4), 431-443.
9. Barclay, D., Higgins, C., & Thompson, R. (1995). The partial least squares (PLS) approach to casual modelling: Personal computer adoption and use as an illustration (with commentaries). Technology Studies, 2(2), 285-323.
10. Beatty, B., & Ulasewicz, C. (2006). Online teaching and learning transition: Faculty perspectives on Moving from Blackboard to the Moodle learning management system. TechTrends, 50(4), 36-45. doi: 10. 1007/s11528-006-0036-y.
11. Blackboard. (2011). Explore the Blackboard learn platform capabilities. Retrieved from: http://www. blackboard. com/Platforms/Learn/Products/Blackboard-Learn/Teaching-and-Learning/New-to-Learn. aspx.
12. Browne, T., Jenkins, M., & Walker, R. (2006). A longitudinal perspective regarding the use of VLEs by higher education institutions in the United Kingdom. Interactive Learning Environments, 14(2), 177-192. doi: 10. 1080/10494820600852795.
13. Burniske, R. W., & Monke, L. (2001). Breaking down the digital walls. Albany, NY: State University of New York Press.
14. Chan, C. C., Tsui, M.-S., Chan, M. Y. C., & Hong, J. H. (2008). A virtual learning environment for part-time MASW students: An evaluation of the WebCT. Journal of Teaching in Social Work, 28, 87-100. doi: 10. 1080/08841230802179027.
15. Chin, W. (1998). The partial least square approach to structural equation modelling. In G. A. Marcoulides (Ed.), Modern methods for business research (pp. 295-336). London, UK: Lawrence Erlbaum Associates.
16. Chin, W. (2001). PLS Graph user's guide, Version 3. 0. Houston, TX: Bauer College of Business, University of Houston.
17. Chin, W., & Newsted, P. R. (1999). Structural equation modeling analysis with small samples using partial least squares. In R. H. Hoyle (Ed.), Statistical strategies for small sample research (pp. 307-341). Thousand Oaks: Sage Publications.
18. Crano, W., & Brewer, M. (2002). Principles and methods of social research. Mahwah, NJ: Lawrence Erlbaum Associates Publishers.
19. DeLone, W. H., & McLean, E. R. (1992). Information systems success: The quest for the dependent variable. Information Systems Research, 3, 60-95. doi: 10. 1287/isre. 3. 1. 60.
20. DeLone, W., & McLean, E. (2003). The Delone and Mclean model of information systems success: A ten-year update. Journal of Management Information Systems, 19(4), 9-30.
21. Falvo, D. A., & Johnson, B. F. (2007). The use of learning management systems in the United States. TechTrends, 51(2), 40-45. doi: 10. 1007/s11528-007-0025-9.
22. Fornell, C., & Larcker, D. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18, 39-50. doi: 10. 2307/3151312.
23. Hair, J., Anderson, R., Tatham, R., & Black, W. (1998). Multivariate data analysis. Upper Saddle River, NJ: Prentice Hall.
24. Hawkins, B. L., & Rudy, J. A. (2007). Educause core data service. Fiscal year 2006 summary report. Colorado, USA: Educause.
25. Hayashi, A., Chen, C., Ryan, T., & Wu, J. (2004). The role of social presence and moderating role of computer self efficacy in predicting the continuance usage of e-learning systems. Journal of Information Systems Education, 15(2), 139-154.
26. Igbaria, M. (1990). End-User computing effectiveness: A structural equation model. Omega, 18(6), 637. doi: 10. 1016/0305-0483(90)90055-E.
27. Kelly, T., & Bauer, D. (2004). Managing intellectual capital-via e-learning-at Cisco. In C. Holsapple (Ed.), Handbook on knowledge management 2: Knowledge directions (pp. 511-532). Berlin, Germany: Springer.
28. Kettinger, W. J., & Lee, C. C. (1994). Perceived service quality and user satisfaction with the information services function. Decision Sciences, 25(5/6), 737-765. doi: 10. 1111/j. 1540-5915. 1994. tb01868. x.
29. Klobas, J. E., & McGill, T. J. (2010). The role of involvement in learning management system success. Journal of Computing in Higher Education, 22, 114-134. doi: 10. 1007/s12528-010-9032-5.
30. Knecht, M., & Reid, K. (2009). Modularizing information literacy training via the Blackboard eCommunity. Journal of Library Administration, 49, 1-9. doi: 10. 1080/01930820802310502.
31. Lee, Y. (2006). An empirical investigation into factors influencing the adoption of an e-learning system. Online Information Review, 30(5), 517-541. doi: 10. 1108/14684520610706406.
32. Liaw, S., Huang, H., & Chen, G. (2007). Surveying instructor and learner attitudes toward e-learning. Computers & Education, 49, 1066-1080. doi: 10. 1016/j. compedu. 2006. 01. 001.
33. Lin, C., Singer, R., & Ha, L. (2010). Why university members use and resist technology? A structure enactment perspective. Journal of Computing in Higher Education, 22, 38-59. doi: 10. 1007/s12528-010-9028-1.
34. Mahdizadeh, H., Biemans, H., & Mulder, M. (2008). Determining factors of the use of e-learning environments by university teachers. Computers & Education, 51, 142-154. doi: 10. 1016/j. compedu. 2007. 04. 004.
35. Moodle. (2011). Welcome to the Moodle Service Network! Retrieved from http://moodle. com/.
36. Naidu, S. (2006). E-learning a guidebook of principles, procedures and practices, 2nd revised edition. New Delhi, India: Commonwealth Educational Media Center for Asia (CEMCA).
37. National Centre for Educational Statistics. (2003). Distance education at degree-granting postsecondary institutions: 2000-2001. Washington, DC: US Department of Education.
38. Parasuraman, A., Zeithaml, V. A., & Berry, L. (1988). SERVQUAL: A multiple-item scale for measuring customer perceptions of service quality. Journal of Retailing, 64(1), 12-40.
39. Piccoli, G., Ahmad, R., & Ives, B. (2001). Web-based virtual learning environments: A research framework and a preliminary assessment of effectiveness in basic IT skill training. MIS Quarterly, 25(4), 401-426. doi: 10. 2307/3250989.
40. Pituch, K., & Lee, Y. (2006). The influence of system characteristics on e-learning use. Computers & Education, 47, 222-244. doi: 10. 1016/j. compedu. 2004. 10. 007.
41. Raaij, E., & Schepers, J. (2008). The acceptance and use of a virtual learning environment in China. Computers & Education, 50, 838-852. doi: 10. 1016/j. compedu. 2006. 09. 001.
42. Rainer, R. K., Turban, E., & Potter, R. E. (2007). Introduction to information systems: Supporting and transforming business. NJ, USA: Wiley.
43. Reiser, R. A. (2002). A history of instructional design and technology. In R. A. Reiser & J. V. Dempsey (Eds.), Trends and issues in instructional design and technology (pp. 26-53). Upper Saddle River, NJ: Merrill Prentice Hall.
44. Roca, J., Chiu, C., & Martinez, F. (2006). Understanding e-learning continuous intention: An extension of the technology acceptance model. International Journal of Human-Computer Studies, 64, 683-696. doi: 10. 1016/j. ijhcs. 2006. 01. 003.
45. Schein, E. (1985). Organizational culture and leadership. San Francisco, CA: Jossey-Bass.
46. Schillewaert, N., Ahearne, M. J., Frambach, R. T., & Moenaert, R. K. (2005). The adoption of information technology in the sales force. Industrial Marketing Management, 34, 323-336.
47. Seddon, P. B. (1997). A respecification and extension of the DeLone and McLean model of IS success. Information Systems Research, 8(3), 240-253.
48. Simonson, M., Maurer, R., Montag, M., & Whitaker, M. (1987). Development of a standardized test of computer literacy and a computer anxiety index. Journal of Educational Computing Research, 3(2), 231-247. doi: 10. 2190/7CHY-5CM0-4D00-6JCG.
49. Sumner, M., & Hostetler, D. (1999). Factors influencing the adoption of technology in teaching. The Journal of Computer Information Systems, 40(1), 81.
50. Sun, P., Tsai, R., Finger, G., Chen, Y., & Yeh, D. (2008). What drives a successful e-Learning? An empirical investigation of the critical factors influencing learner satisfaction. Computers & Education, 50, 1183-1202. doi: 10. 1016/j. compedu. 2006. 11. 007.
51. Teo, T. (2009). Modelling technology acceptance in education: A study of pre-service teachers. Computers & Education, 52, 302-312. doi: 10. 1016/j. compedu. 2008. 08. 006.
52. Thompson, R., Compeau, D., & Higgins, C. (2006). Intentions to use information technologies: An integrative model. Journal of Organizational and End User Computing, 18(3), 25-47. doi: 10. 4018/joeuc. 2006070102.
53. Venkatesh, V., & Davis, F. (2000). A theoretical extension of the technology acceptance model: Four longitudinal. Management Science, 46(2), 186-204. doi: 10. 1287/mnsc. 46. 2. 186. 11926.
54. Wan, Z., Fang, Y., & Neufeld, H. (2007). The role of information technology in technology-mediated learning: A review of the past for the future. Journal of Information Systems Education, 18(2), 183-192.
55. Webster, J., & Hackley, P. (1997). Teaching effectiveness in technology-mediated distance learning. Academy of Management Journal, 40(6), 1282. doi: 10. 2307/257034.
56. Woods, R., Baker, J., & Hopper, D. (2004). Hybrid structure: Faculty use and perception of Web-based courseware as a supplement to face-to-face instruction. Internet & Higher Education, 7(4), 281-297. doi: 10. 1016/j. iheduc. 2004. 09. 002.
57. Wu, J. P., Tsai, R. J., Chen, C. C., & Wu, Y. C. (2006). An integrative model to predict the continuance use of electronic learning systems: Hints for teaching. International Journal on E-Learning, 5(2), 287-302.
58. Yueh, H.-P., & Hsu, S. (2008). Designing a learning management system to support instruction. Communication of the ACM, 51(4), 59-63. doi: 10. 1145/1330311. 1330324.