Predictors of E-learning satisfaction in teaching and learning for school teachers: A literature review

International Journal of Instruction

Volumn 8, Issue 1, 2015, Pages 75-90

  Cheok, Mei Lick ^a   Wong, Su Luan ^b  

^a Teacher Training Institute   (Malaysia)

^b UNIVERSITY PUTRA MALAYSIA   (Malaysia)

Author keywords

E learning; Learning management system; Satisfaction; Secondary school teachers; Usage

Indexed keywords

EID: 84921900487     PISSN: 1694609X     EISSN: 13081470     Source Type: Journal    
DOI: 10.12973/iji.2015.816a     Document Type: Article

References (80)

1. Adam Mahmood, M. O., Burn, J. M., Gemoets, L. A., & Jacquez, C. (2000). Variables affecting information technology end-user satisfaction: a meta-analysis of the empirical literature. International Journal of Human-Computer Studies, 52(4), 751-771.
2. Aggelidis, V. P., & Chatzoglou, P. D. (2012). Hospital information systems: Measuring end user computing satisfaction (EUCS). Journal of Biomedical Informatics, 45(3), 566-579.
3. Ajzen, I., & Fishbein, M. (1980). Understanding attitudes and predicting social behaviour. Englewood Cliffs, NJ: Prentice-Hall.
4. Al-Busaidi, K. A., & Al-Shihi, H. (2010). Instructors' Acceptance of Learning Management Systems: A Theoretical Framework. Communications of the IBIMA.
5. Al-Busaidi, K. A., & Al-Shihi, H. (2012). Key factors to instructors' satisfaction of learning management systems in blended learning. Journal of Computing in Higher Education, 24(1), 18-39.
6. Albirini, A. (2006). Teachers' attitudes toward information and communication technologies: The case of Syrian EFL teachers. Computers & Education, 47(4), 373-398.
7. Arbaugh, J. B., & Rau, B. L. (2007). A study of disciplinary, structural, and behavioral effects on course outcomes in online MBA courses. Decision Sciences Journal of Innovative Education, 5(1), 65-95.
8. Arbaugh, J. B., & Benbunan-Fich, R. (2007). The importance of participant interaction in online environments. Decision Support Systems, 43(3), 853-865.
9. Arbaugh, J. B., & Duray, R. (2002). Technological and structural characteristics, student learning and satisfaction with web-based courses an exploratory study of two on-line MBA programs. Management Learning, 33(3), 331-347.
10. Arbaugh, J. B. (2002). Managing the on-line classroom: a study of technological and behavioral characteristics of web-based MBA courses. The Journal of High Technology Management Research, 13(2), 203-223.
11. Baroudi, J. J., Olson, M. H., & Ives, B. (1986). An empirical study of the impact of user involvement on system usage and information satisfaction. Communications of the ACM, 29(3), 232-238.
12. Barbeite, F. G., & Weiss, E. M. (2004). Computer self-efficacy and anxiety scales for an Internet sample: Testing measurement equivalence of existing measures and development of new scales. Computers in Human Behavior, 20(1), 1-15.
13. Bandura, A. (1977). Self-efficacy: Toward a unifying theory of behavioural change. Psychological Review, 84(2), 191
14. Ball, D. M., & 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), 431-444.
15. Bhattacherjee, A., and Premkumar, G. (2004). Understanding changes in belief and attitude toward information technology usage: A theoretical model and longitudinal test. MIS quarterly, 229-254.
16. Bhattacherjee, A. (2001). Understanding information systems continuance: An expectation-confirmation model. MIS quarterly, 25(3), 351-370.
17. Celik, V., & Yesilyurt, E. (2013). Attitudes to technology, perceived computer self-efficacy and computer anxiety as predictors of computer supported education. Computers & Education, 60(1), 148-158.
18. Cuban, L. (1986). Teachers and machines: The classroom use of technology since 1920. New York: Teachers College Press.
19. Chiu, C. M., Chiu, C. S., & Chang, H. C. (2007). Examining the integrated influence of fairness and quality on learners' satisfaction and web-based learning continuance intention. Information Systems Journal, 17(3), 271-287.
20. Compeau, D. R., & Higgins, C. A. (1995). Computer self-efficacy: Development of a measure and initial test. MIS quarterly, 19(2), 189-211
21. Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS quarterly, 319-340.
22. Davis, F. D. (1993). User acceptance of information technology: system characteristics, user perceptions and behavioural impacts. International Journal of Man-machine Studies, 38(3), 475-487.
23. 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.
24. Delone, W. H., & Mclean, E. R. (2004). Measuring e-commerce success: Applying the DeLone & McLean information systems success model. International Journal of Electronic Commerce, 9(1), 31-47.
25. Delone, W. H. (2003). The DeLone and McLean model of information systems success: a ten-year update. Journal of management information systems, 19(4), 9-30.
26. DeLone, W. H., & McLean, E. R. (1992). Information systems success: The quest for the dependent variable. Information Systems Research, 3(1), 60-95.
27. DeLone, W. H., & McLean, E. R. (2002). Information systems success revisited. In System Sciences, 2002. HICSS. Proceedings of the 35th Annual Hawaii International Conference on (pp. 2966-2976). IEEE.
28. De Smet, C., Bourgonjon, J., De Wever, B., Schellens, T., & Valcke, M. (2012). Researching instructional use and the technology acceptation of learning management systems by secondary school teachers. Computers & Education, 58(2), 688-696.
29. Doll, W. J., Xia, W., & Torkzadeh, G. (1994). A confirmatory factor analysis of the end-user computing satisfaction instrument. MIS Quarterly, 453-461.
30. Feldman, K. A., & Newcomb, T. M. (1969). The impact of college on students. Transaction Publishers.
31. Fishbein, M., & Ajzen, I. (1975). Belief, attitude, intention and behavior: An introduction to theory and research. 181-202.
32. Gunawardena, C. N., Linder-VanBerschot, J. A., LaPointe, D. K., & Rao, L. (2010). Predictors of learner satisfaction and transfer of learning in a corporate online education program. The American Journal of Distance Education, 24(4), 207-226.
33. 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).
34. Hsieh, J. P. A., & Wang, W. (2007). Explaining employees' extended use of complex information systems. European Journal of Information Systems, 16(3), 216-227.
35. Hong, S., Thong, J. Y., & Tam, K. Y. (2006). Understanding continued information technology usage behavior: A comparison of three models in the context of mobile internet. Decision Support Systems, 42(3), 1819-1834.
36. Igbaria, M., & Parasuraman, S. (1989). A path analytic study of individual characteristics, computer anxiety and attitudes toward microcomputers. Journal of Management, 15(3), 373-388.
37. Joo, Y. J., Joung, S., & Son, H. S. (2014). Structural relationships among effective factors on e-learners' motivation for skill transfer. Computers in Human Behavior, 32, 335-342.
38. Kellogg, D. L., & Smith, M. A. (2009). Student-to-student interaction revisited: A case study of working adult business students in online courses. Decision Sciences Journal of Innovative Education, 7(2), 433-456.
39. Kulkarni, U. R., Ravindran, S., & Freeze, R. (2007). A knowledge management success model: Theoretical development and empirical validation. Journal of Management Information Systems, 23(3), 309-347.
40. Kuo, Y. C., Walker, A. E., Schroder, K. E., & Belland, B. R. (2014). Interaction, Internet self-efficacy, and self-regulated learning as predictors of student satisfaction in online education courses. The Internet and Higher Education, 20, 35-50.
41. Lee, K. C., & Chung, N. (2009). Understanding factors affecting trust in and satisfaction with mobile banking in Korea: A modified DeLone and McLean's model perspective. Interacting with computers, 21(5), 385-392.
42. Luan, W. S., & Teo, T. (2009). Investigating the technology acceptance among student teachers in Malaysia: An application of the technology acceptance model (TAM). Asia-Pacific Education Researcher (De La Salle University Manila), 18(2).
43. Lin, H. F. (2007). Measuring online learning systems success: Applying the updated DeLone and McLean model. Cyberpsychology & behavior, 10(6), 817-820.
44. Liu, X., Magjuka, R. J., Bonk, C. J., & Lee, S. H. (2007). Does sense of community matter? Quarterly Review of Distance Education, 8(1), 9-24
45. Mathews, P., & Bhanugopan, R. (2014). Predictors of effective web-based international business management courses in China: Students' perceptions on course interaction and satisfaction. Journal of Teaching in International Business, 25(1), 60-73.
46. Marcinkiewicz, H. R. (1994). Computers and teachers: Factors influencing computer use in the classroom. Journal of Research on Computing In Education, 26(2), 220-37.
47. Marakas, G. M., Yi, M. Y., & Johnson, R. D. (1998). The multilevel and multifaceted character of computer self-efficacy: Toward clarification of the construct and an integrative framework for research. Information Systems Research, 9(2), 126-163.
48. Moses, P., Khambari, M., Nida, M., & Wong, S. L. (2008). Laptop use and its antecedents among educators: A review of the literature. European Journal of Social Sciences, 7(1), 104-114.
49. Nelson, R. R., & Cheney, P. H. (1987). Training end users: An exploratory study. MIS Quarterly, 11(4), 547-559
50. Oliver, R. L., & Swan, J. E. (1989). Equity and disconfirmation perceptions as influences on merchant and product satisfaction. Journal of Consumer Research, 16(3), 372.
51. Pascarella, E. T., & Terenzini, P. T. (1991). How college affects students (pp. 3-7). K. A. Feldman (Ed.). San Francisco: Jossey-Bass.
52. Piccoli, G., Ahmad, R., & Ives, B. (2001). Web-based virtual learning environments: A research framework and a preliminary assessment of effectiveness in basic IT skills training. MIS Quarterly, 401-426.
53. Rai, A., Lang, S. S., & Welker, R. B. (2002). Assessing the validity of IS success models: An empirical test and theoretical analysis. Information Systems Research, 13(1), 50-69.
54. Roszkowski, M. J., & Soven, M. (2010). Did you learn something useful today? An analysis of how perceived utility relates to perceived learning and their predictiveness of satisfaction with training. Performance Improvement Quarterly, 23(2), 71-91.
55. Salmon, G. (2002). E-tivities: The key to active online learning. Psychology Press.
56. Sánchez, R. A., & Hueros, A. D. (2010). Motivational factors that influence the acceptance of Moodle using TAM. Computers in Human Behavior, 26(6), 1632-1640.
57. Sawang, S., Newton, C., & Jamieson, K. (2013). Increasing learners' satisfaction/intention to adopt more e-learning. Education + Training, 55(1), 83-105.
58. Saadé, R. G., & Kira, D. (2007). Mediating the impact of technology usage on perceived ease of use by anxiety. Computers & Education, 49(4), 1189-1204.
59. Schaupp, L. C. (2010). Web site success: Antecedents of web site satisfaction and re-use. Journal of Internet Commerce, 9(1), 42-64.
60. Selim, H. M. (2003). An empirical investigation of student acceptance of course websites. Computers & Education, 40(4), 343-360.
61. Seddon, P., & Kiew, M. Y. (1994). A partial test and development of the Delone and McLean Model of IS Success. ICIS 1994 Proceedings, 9.
62. Seddon, P. B. (1997). A respecification and extension of the DeLone and McLean model of IS success. Information Systems Research, 8(3), 240-253.
63. Serenko, A. (2011). Student satisfaction with Canadian music programmes: the application of the American Customer Satisfaction Model in higher education. Assessment & Evaluation in Higher Education, 36(3), 281-299.
64. Sun, P. C., Tsai, R. J., Finger, G., Chen, Y. Y., & Yeh, D. (2008). What drives a successful e-Learning? An empirical investigation of the critical factors influencing learner satisfaction. Computers & Education, 50(4), 1183-1202.
65. Torkzadeh, G., & Dwyer, D. J. (1994). A path analytic study of determinants of information system usage. Omega, 22(4), 339-348.
66. Torkzadeh, G., & Doll, W. J. (1999). The development of a tool for measuring the perceived impact of information technology on work. Omega, 27(3), 327-339.
67. Tatnall, A., & Davey, B. (2003). ICT and training: A proposal for an ecological model of innovation. Educational Technology & Society, 6(1), 14-17.
68. Teo, T., Lee, C. B., Chai, C. S., & Wong, S. L. (2009). Assessing the intention to use technology among pre-service teachers in Singapore and Malaysia: A multigroup invariance analysis of the Technology Acceptance Model (TAM). Computers & Education, 53(3), 1000-1009.
69. Teo, T. (2009). Modelling technology acceptance in education: A study of pre-service teachers. Computers & Education, 52(2), 302-312.
70. Luan, W. S., & Teo, T. (2009). Investigating the Technology Acceptance among Student Teachers in Malaysia: An Application of the Technology Acceptance Model (TAM). Asia-Pacific Education Researcher, 18(2), 261-272
71. Teo, T., & Wong, S. L. (2013). Modeling key drivers of E-learning satisfaction among student teachers. Journal of Educational Computing Research, 48(1), 71-95.
72. Van Raaij, E. M., & Schepers, J. J. (2008). The acceptance and use of a virtual learning environment in China. Computers & Education, 50(3), 838-852.
73. Wu, J. H., Tennyson, R. D., & Hsia, T. L. (2010). A study of student satisfaction in a blended e-learning system environment. Computers & Education, 55(1), 155-164.
74. Wang, Y. S., & Liao, Y. W. (2008). Assessing eGovernment systems success: A validation of the DeLone and McLean model of information systems success. Government Information Quarterly, 25(4), 717-733.
75. Webster, J., & Watson, R. T. (2002). Analyzing the past to prepare for the future: Writing a literature review. Management Information Systems Quarterly, 26(2), 3.
76. Yee, H. T. K., Luan, W. S., Ayub, A. F. M., & Mahmud, R. (2009). A review of the literature: Determinants of online learning among students. European Journal of Social Sciences, 8(2), 246-252.
77. Yeh, Y. S., & Li, Y. M. (2009). Building trust in m-commerce: contributions from quality and satisfaction. Online Information Review, 33(6), 1066-1086.
78. Zaharias, P. & Polymenakou, A. (2009). Developing a Usability Evaluation Method for eLearning Applications: Beyond Functional Usability, International Journal of Human Computer Interaction, 25(1), 75-98
79. Zhang, Z. (2010). Feeling the sense of community in social networking usage. Engineering Management, IEEE Transactions on, 57(2), 225-239.
80. Zhao, Y., & Bryant, F. L. (2006). Can teacher technology integration training alone lead to high levels of technology integration? A qualitative look at teachers' technology integration after state mandated technology training. Electronic Journal for the Integration of Technology in Education, 5(1), 53-62.