Proposing a framework to assess Internet usage in university education: An empirical investigation from a student's perspective

British Journal of Educational Technology

Volumn 36, Issue 2, 2005, Pages 237-253

  Cheung, Waiman ^a   Huang, Wayne ^b  

^a CHINESE UNIVERSITY OF HONG KONG   (Hong Kong)

^b OHIO UNIVERSITY   (United States)

Author keywords

e education; e learning; Internet; IT diffusion; Technology acceptance

Indexed keywords

COMPUTER AIDED SOFTWARE ENGINEERING; DIFFUSION; EDUCATION; INFORMATION TECHNOLOGY; LEARNING SYSTEMS; MATHEMATICAL MODELS;

DIFFUSION PROCESS MODEL; INTERNET USAGE; TECHNOLOGY ACCEPTANCE MODEL;

INTERNET;

EID: 33645814886     PISSN: 00071013     EISSN: 14678535     Source Type: Journal    
DOI: 10.1111/j.1467-8535.2005.00455.x     Document Type: Article

References (46)

1. Adair, J. G. (1984). The Hawthorne Effect - a reconsideration of the methodological artifact. Journal of Applied Psychology, 69, 2, 334-345.
2. Alavi, M. (1994). Computer-mediated collaborative learning: an empirical evaluation. MIS Quarterly, 5, 6, 325-350.
3. Alavi, M., Wheeler, B. C. & Valacich, J. S. (1995). Using IT to reengineer business education: an exploratory envestigation of collaborative telelearning. MIS Quarterly, 19, 3, 293-312.
4. Al-Nuaimy, W., Zhang, J. & Noble, A. (2001). Web-based learning environment for a communications module. Computer Applications in Engineering Education, 9, 2, 114-121.
5. Anandarajan, M., Simmers, C. & Igbaria, M. (1998). An exploratory investigation of the antecedents and impact of Internet usage: an individual perspective. Proceedings of Hawaii International Conference on System Sciences.
6. Amoroso, D. L. & Cheney, P. H. (1998). Testing a causal model of end-user environment: an empirical investigation. Information and Management, 14, 2, 107-113.
7. Bagley, C. & Hunter, B. (1992). Restructuring, constructivism, and technology: forging a new relationship. Educational Technology, 22-27.
8. Barker, P. (2002). Innovation in open and distance learning - successful development of Online and web-based learning. Innovations in Education and Training International, 39, 1, 82-85.
9. Biggs, J. B. (1987). Student approaches to learning. Melbourne: Australian Council for Education Research.
10. Blair, E. & Burton, S. (1987). Cognitive processes used by survey respondents to answer behavioral frequency questions. Journal of Consumer Research, 14, 2, 280-288.
11. Bargeron, D., Grudin, J., Gupta, A. & Sanocki, E. (2002). Asynchronous collaboration around multimedia applied to on-demand education. Journal of Management Information Systems, 18, 4, 117-145.
12. Buyukkurt, M. D. & Vass, E. C. (1993). An investigation of actors contributing to satisfaction with end-user computing process. Canadian Journal of Administrative Sciences, 10, 3, 212-228.
13. Chandler, B. (2002). Innovation in open and distance learning. Successful development of online and web-based learning. Studies in Higher Education, 27, 1, 122-123.
14. Chen, S. Y. & Paul, R. J. (2003). Editorial: individual differences in web-based instruction - an overview. British Journal of Educational Technology, 34, 4, 1-5.
15. Coleman, J. N., Kinniment, D. J., Burns, F. P., Butler, T. J. & Kowlmans, A. M. (1998). Effectiveness of computer-aided learning as a direct replacement for lecturing in degree-level electronics. IEEE Transactions on Education, 41, 3, 177-193.
16. Coppola, N., Hiltz, S. R. & Rotter, N. G. (2002). Becoming a virtual professor: pedagogical roles and asynchronous learning networks. Journal of Management Information Systems, 18, 4, 169-189.
17. 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.
18. Dringus, L. (1999). Online with Dr John A. Scigliano, Part 2. The Internet and Higher Education, 2, 3, 177-183.
19. Fishbein, M. & Ajzen, I. (1975). Belief, attitude, intentions, and behavior, an introduction to theory and research. Boston: Addison-Wesley.
20. Frank, M., Reich, N. & Humphreys, K. (2003). Respecting the human needs of students in the development of e-learning. Computers and Education, 40, 1, 57-70.
21. Franke, R. H. (1980). Worker productivity at Hawthorne. American Sociological Review, 45, 6, 1006-1027.
22. Gefen, D. & Straub, D. W. (1997, December). Gender differences in the perception and use of e-mail: an extension to the technology acceptance model. MIS Quarterly, 389-400.
23. Harrison, A. W. & Rainer, R. K. Jr (1992). The influence of individual differences on skill in end-user computing. Journal of Management Information System, 9, 1, 93-111.
24. Huang, W., Yen, D., Lin, Z. X. & Huang, J. H. "How to Compete in Global Education Market Effective Conceptual Framework for Designing a Next Generation Education System". International Journal of Information Management, 12, 2, April-June 2004, USA, pp. 84-107.
25. Igbaria, M. (1992). An examination of microcomputer usage in Taiwan. Information and Management, 22, 19-28.
26. Igbaria, M. (1993). User acceptance of microcomputer technology: an empirical test. OMEGA International Journal of Management Science, 21, 1, 73-90.
27. Igbaria, M. (1994). An examination of the factors contributing to technology acceptance. Accounting, Management and Information Technologies, 4, 4, 205-224.
28. Igbaria, M., Parasuraman, S. & Baroudi, J. J. (1996). A motivational model of microcomputer usage. Journal of Management Information Systems, 13, 1, 127-143.
29. Igbaria, M. & Tan, M. (1997). The consequences of information technology acceptance on subsequent individual performance. Information and Management, 32, 113-121.
30. Igbaria, M., Zinatelli, N., Gragg, P. & Cavaye, A. L. M. (1997). Personal computing acceptance factors in small firms: a structural equation model. MIS Quarterly, 2 79-305.
31. Jones, S. R. G. (1990). Worker interdependence and output - the Hawthorne studies reevaluated. American Sociological Review, 55, 2, 176-190.
32. Kinshuk, R. (2002). Web-based learning and teaching technologies: opportunities and challenges. Online Information Review, 26, 1, 61-62.
33. Lee, M. G. (2001). Profiling students' adaptation styles in Web-based learning. Computers and Education, 36, 2, 121-132.
34. Leidner, D. E. & Jarvenpaa, S. L. (1995). The use of information technology to enhance management school. MIS Quarterly, 265-291.
35. Milliken, J. & Barnes, L. P. (2002). Teaching and technology in higher education: student perceptions and personal reflections. Computers and Education, 39, 3, 223-235.
36. Nunnally, J. V. (1978). Psychometric theory. New York, NY: McGraw-Hill.
37. Owston, R. D. (2000). Evaluating web-based learning environments: strategies and insights. Cyberpsychology and Behavior, 3, 1, 79-87.
38. Pahl, C. (2003). Managing evolution and change in web-based teaching and learning. Computer and Education, 40, 2. 99-114.
39. Raymond, L. (1990). End-user computing in the small business context: foundations and directions for research. Database, 20, 4, 20-26.
40. Richardson, J. T. E. (2003). Approaches to studying and perceptions of academic quality in a short web-based course. British Journal of Educational Technology, 34, 4, 51-63.
41. Rovai, A. P. (2001). Building classroom community at a distance: a case study. Educational Technology Research and Development, 49, 4, 33-48.
42. Schlaifer, R. (1980). The Relay Assembly Test Room-an alternative statistical interpretation. American Sociological Review, 45, 6, 995-1005.
43. Straub, D. W. (1994). The effect of culture on IT diffusion: e-mail and fax in Japan and the US. Information Systems Research, 5, 1, 23-47.
44. Thompson, R. L., Higgins, C. A. & Howell, J. M. (1991). Personal computing: toward a conceptual model of utilization. MIS Quarterly, 15, 1, 125-143.
45. Topper, A. (2002). Web-based learning and teaching technologies: opportunities and challenges. Teachers College Record, 104, 1, 151-154.
46. Webster, J. & Martocchio, J. J. (1995). The differential effects of software training previews on training outcomes. Journal of Management, 21, 757-785.