Understanding learner acceptance of learning objects: The roles of learning object characteristics and individual differences

British Journal of Educational Technology

Volumn 40, Issue 6, 2009, Pages 1059-1075

  Lau, Siong Hoe ^a   Woods, Peter C ^a  

^a MULTIMEDIA UNIVERSITY   (Malaysia)

Author keywords

[No Author keywords available]

Indexed keywords

CAUSAL RELATIONSHIPS; CRITICAL ISSUES; EASE OF USE; EXTENDED VERSIONS; INDIVIDUAL DIFFERENCES; INSTRUCTIONAL RESOURCES; INTEGRATED LEARNING; LEARNING OBJECTS; PERCEIVED EASE OF USE; PERCEIVED USEFULNESS; TECHNOLOGY ACCEPTANCE MODEL; TWO PHASIS; UNDERLYING FACTORS; USER ACCEPTANCE;

E-LEARNING; EXPOSURE CONTROLS; INTERNET; MULTIMEDIA SYSTEMS;

EDUCATION;

EID: 70350138208     PISSN: 00071013     EISSN: 14678535     Source Type: Journal    
DOI: 10.1111/j.1467-8535.2008.00893.x     Document Type: Article

References (55)

1. Anderson, T., Varnhagen, S. Campbell, K. (1998). Faculty Adoption of Teaching and Learning Technologies: Contrasting Earlier Adopters and Mainstream Faculty. The Canadian Journal of Higher Education, 28, 2-3, 71 98.
2. Bailey, J. E. Pearson, S. W. (1983). Development of a tool for measuring and analyzing computer user satisfaction. Management Science, 29, 5, 530 545.
3. Bannan-Ritland, B., Dabbagh, N. Murphy, K. (2000). Learning object systems as constructivist learning environments: related assumptions, theories, and applications. In D. A. Wiley (Ed. The instructional use of learning objects. Retrieved November 30, 2003, from http://reusability.org/read/chapters/bannan- ritland.doc
4. Baruque, L. Melo, R. (2004). Learning theory and instructional design using learning objects. Journal of Educational Multimedia and Hypermedia, 13, 4, 343 370.
5. Becta (2004). Discussion paper on quality issues. Retrieved May 28, 2005, from http://partners.becta.org.uk/page-documents/corporate/projects/cab/ quality-paper.pdf
6. Boyle, T. (2003). Design principles for authoring dynamic, reusable learning objects. Australian Journal of Educational Technology, 19, 1, 46 58.
7. Boyle, T., Bradley, C., Chalk, P., Jones, R., Haynes, R. Pickard, P. (2003). Can learning objects contribute to pedagogical improvement in higher education: lessons from a case study? Paper presented at the CAL, Belfast.
8. Bratina, T. A., Hayes, D. Blumsack, S. L. (2002). Preparing teachers to use learning objects. Retrieved January 12, 2002, from http://technologysource. org/article/preparing-teachers-to-use-learning-objects/
9. Cain, R. (2000). Strategies for helping liberal arts students become more active learners online. The Journal of Electronic Publishing, 6, 1, 9796 9798.
10. Carswell, A. D. Venkatesh, V. (2002). Learner outcomes in an asynchronous distance education environment. International Journal of Human-Computer Studies, 56, 5, 475 494.
11. Chapuis, L. (2003). Report on a Pedagogical Trial of Learning Objects in ACT Schools. Griffith : Centre for Teaching and Learning Technologies.
12. Compeau, D. R., Higgins, C. A. Huff, S. (1999). Social cognitive theory and individual reactions to computing technology: a longitudinal study. MIS Quarterly, 23, 2, 145 158.
13. Corwin, T. A. (1998). Prediction of and differences in computer use: universal adoption of notebook computers at three undergraduate institutions (Faculty). Unpublished doctoral dissertation, Iowa State University, IA.
14. Daugherty, M. Funke, B. (1998). University faculty and student perceptions of web-based instruction. Journal of Distance Education, 13, 1, 21 39.
15. Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13, 3, 318 340.
16. 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 1003.
17. Duval, E. Hodgins, H. (2003). A LOM research agenda. Retrieved January 15, 2004, from http://www2003.org/cdrom/papers/alternate/P659/p659-duval.html. html
18. Eastin, M. S. LaRose, R. (2000). Internet Self-Efficacy and the Psychology of the Digital Divide. Journal of Computer-Mediated Communication, 6, 1, September.
19. Fishbein, M. Ajzen, I. (1975). Belief, attitude, intention and behaviour: an introduction to theory and research. Reading, MA : Addison-Wesley.
20. Fornell, C. Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18, 39 50.
21. Heinich, R., Molenda, M., Russell, J. D. Smaldino, S. E. (1996). Instructional media and technologies for learning. Englewood Cliffs, NJ : Prentice Hall.
22. Igbaria, M., Guimaraes, T. Davis, G. B. (1995). Testing the determinants of microcomputer usage via a structural equation model. Journal of Management Information Systems, 11, 4, 87 114.
23. Igbaria, M., Zinatelli, N., Cragg, P. Cavaye, A. L. M. (1997). Personal computing acceptance factors in small firms: a structure equation model. MIS Quarterly, 21, 3, 279 306.
24. Jackson, C. M., Chow, S. Leitch, R. A. (1997). Towards an understanding of the behavioral intention to use an information system. Decision Sciences, 28, 2, 357 389.
25. Kay, R. Knaack, L. (2005). Developing learning objects for secondary school students: a multi-component model. Interdisciplinary Journal of Knowledge and Learning Objects, 1, 229 254.
26. Kraemer, L., Danziger, J. N., Dunkle, D. E. King, J. L. (1993). The usefulness of computer-based information to public managers. MIS Quarterly, 17, 2, 129 148.
27. Kremers, M. van Dissel, H. (2000). ERP system migrations. Communication of the ACM, 43, 4, 53 56.
28. Learning Technology Standards Committee (2002). Draft standard for learning object metadata. Retrieved January 18, 2006, from http://ltsc.ieee.org/ wg12/files/LOM-1484-12-1-v1-Final-Draft.pdf
29. Lederer, A. L., Maupin, D. J., Sena, M. P. Zhuang, Y. (2000). The technology acceptance model and the World Wide Web. Decision Support Systems, 29, 3, 269 282.
30. Ma, Q. Liu, L. (2004). The technology acceptance model: a meta-analysis of empirical findings. Journal of Organizational and End User Computing, 16, 1, 59 72.
31. McMahon, J., Gardner, J., Gray, C. Mulhern, G. (1999). Barriers to student computer usage: staff and student perceptions. Journal of Computer Assisted Learning, 15, 4, 302 311.
32. MERLOT (2005). Evaluation criteria for peer reviews. Retrieved Jan 18, 2005, from http://taste.merlot.org/evaluationcriteria.html
33. Moon, J.-W. Kim, Y.-G. (2001). Extending the TAM for a World-Wide-Web context. Information & Management, 38, 4, 217 230.
34. Murphy, C. A., Coover, D. Owen, S. V. (1989). Development and validation of the computer self-efficacy scale. Educational and Psychological Measurement, 49, 4, 893 899.
35. Muzio, J. A., Heins, T. Mundell, R. (2002). Experiences with reusable E-learning objects: from theory to practice. Internet and Higher Education, 5, 1, 21 34.
36. Nesbit, J. C., Belfer, K. Leacock, T. (2003). Learning Object Review Instrument (LORI). Retrieved January 8, 2004, from http://www.elera.net
37. Raymond, L. (1988). The impact of computer training on the attitudes and usage behavior of small business managers. Journal of Small Business Management, 26, 3, 8 13.
38. Rogers, E. M. (1995). Diffusion of innovations (4th ed.). New York : The Free Press.
39. Seddon, P. B. (1997). A respecification and extension of the Delone and Mclean model of IS success. Information Systems Research, 8, 3, 240 250.
40. Segars, A. H. Grover, V. (1998). Strategic information systems planning success: an investigation of the construct and its measurement. MIS Quarterly, 22, 2, 139 163.
41. Selim, H. M. (2003). An empirical investigation of student acceptance of course websites. Computers & Education, 40, 4, 343 360.
42. Singh, H. (2000). Achieving interoperability in e-learning. Retrieved October 21, 2002, from http://www.learningcircuits.org/2000/mar2000/singh.html
43. Stone, R. W. Henry, J. W. (1998). Computer self-efficacy and outcome expectations and their impacts on behavioral intentions to use computers in non-volitional settings. Journal of Business and Management, 6, 1, 45 58.
44. Stone, R. W. Henry, J. W. (2003). The roles of computer self-efficacy and outcome expectancy in influencing the computer end-user's organizational commitment. Journal of End User Computing, 15, 1, 38 53.
45. Surry, D. W. Ely, D. P. (2002). Adoption, diffusion, implementation, and institutionalization of instructional design and technology. In R. A. Reiser J. V. Dempsey (Eds Trends and issues in instructional design and technology (pp. 183 193). Upper Saddle River, NJ : Merrill Prentice Hall.
46. Tan, M. Teo, T. S. H. (2000). Factors influencing the adoption of internet banking. Journal of the Association for Information Systems, 1, 1, 1 44.
47. Taylor, S. Todd, P. A. (1995). Understanding information technology usage: a test of competing models. Information Systems Research, 6, 2, 144 176.
48. Urden, T. A. Weggen, C. C. (2000). Corporate e-learning: exploring a new frontier. WR Hambrecht and Company Equity Research Report, San Francisco. Retrieved February 20, 2005, from http://www.spectrainteractive.com/pdfs/ CorporateELearningHamrecht.pdf
49. Venkatesh, V. Davis, F. D. (1994). Modeling the determinants of perceived ease of use. Paper presented at the Proceedings of the 15th International Conference on Information Systems, Vancouver, British Columbia, Canada.
50. Venkatesh, V. Davis, F. D. (1996). A model of the antecedents of perceived ease of use: development and test. Decision Sciences, 27, 3, 451 481.
51. Venkatesh, V. Davis, F. D. (2000). A theoretical extension of the technology acceptance model: four longitudinal field studies. Management Science, 46, 2, 186 204.
52. Wallace, P. R. (1998). Diffusion of internet adoption: a study of the relationship between innovativeness, the attitude of teachers toward using the internet, and internet use. Unpublished doctoral dissertation, University of Tennessee, Knoxville, TN.
53. Wingard, R. (2004). Classroom Teaching Changes in Web-Enhanced Courses: A Multi-Institutional Study. Educause Quarterly, 27, 1, 26 35.
54. Wisc-Online (2006). Wisc-online quality standards. Retrieved October 18, 2007, from http://www.wisc-online.com/members/resources/QualityStandards.asp
55. Yi, M. Y. Hwang, Y. (2003). Predicting the use of web-based information systems: self-efficacy, enjoyment, learning goal orientation, and the technology acceptance model. International Journal of Human-Computer Studies, 59, 4, 431 449.