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Student Adoption Towards Web-Based Learning Platform

  • Heidi Fung
  • Allan Yuen
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3583)

Abstract

Today, computers and Internet technology have an established presence in higher education. Most of the universities and tertiary institutions have enhanced their classroom courses with online learning systems. It takes time to familiarize people with any young technology and there is no exemption for the academic. This case study provides an in-depth understanding on the implementation of an e-learning platform in a post-secondary college for its first year adoption. Traditional systems are often slow to change and subject to various existing constraints. The study especially emphasizes on investigating the student adoption of this web-based learning system and seeks to find out the crucial factors influencing student adoption. It appeared that there was resistance to accept the new technology by the teaching staff and the students. Lecturers have been unable to find effective ways to use the system in their courses and students have encountered problems in using the system.

Keywords

Teaching Staff Internet Technology Management Information System American Educational Research Association Online Learning System 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

  1. 1.
    Brown, S.A., Massey, A.P., Montoya-Weiss, M.M., Burkman, J.R.: Do I really have to? User acceptance of mandated technology. European journal of Information Systems 11, 283–295 (2002)CrossRefGoogle Scholar
  2. 2.
    Byrne, R.: Web-based Learning Versus Traditional Management Development Methods. Singapore Management Review 24(2), 59–68 (2002)Google Scholar
  3. 3.
    Dasgupta, S., Granger, M., McGarry, N.: User Acceptance of E-Collaboration Technology: An Extension of the Technology Acceptance Model. Group Decision and Negotiation 11(2), 87–100 (2002)CrossRefGoogle Scholar
  4. 4.
    Davis, F.D.: Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology. MIS Quarterly, 319–340 (1989)Google Scholar
  5. 5.
    Davis, F.D., Bagozzi, R.P., Warshaw, P.R.: Extrinsic and intrinsic motivation to sue computers in the workplace. Journal of Applied Social Psychology 22(14), 1111–1132 (1992)CrossRefGoogle Scholar
  6. 6.
    Fallshaw, E.M.: IT Planning for Strategic Support: Aligning Technology and Vision. Tertiary Education and Management 6(3), 193–207 (2000)CrossRefGoogle Scholar
  7. 7.
    Flick, U.: Triangulation revisited: Strategy of validation or alternative? Journal for the Theory of Social Behaviour 22, 175–198 (1992)CrossRefGoogle Scholar
  8. 8.
    Frey, A., Yankelov, P., Faul, A.: Student perceptions of Web-assisted teaching strategies. Journal of Social Work Education 39(3), 443–457 (2003)Google Scholar
  9. 9.
    Fullan, M.G.: The new meaning of educational change, 2nd edn. Cassell, London (1991)Google Scholar
  10. 10.
    Gifford, L.J.L., Durlabhji, N.K.: Preparing to teach a class by Internet. College Teaching 44, 94–96 (1996)CrossRefGoogle Scholar
  11. 11.
    Hazari, S., Schnorr, D.: Leveraging student feedback to improve teaching in Web-based courses. T.H.E. Journal 26, 30–32 (1999)Google Scholar
  12. 12.
    Jiang, M., Ting, E.: Course design, instruction, and students’ online behaviors: A study of instructional variables and student perceptions of online learning. American Educational Research Association, San Diego, CA (1998)Google Scholar
  13. 13.
    Laffey, J., Musser, D.: Attitudes of preservice teachers about using technology in teaching. Journal of Technology and Teacher Education 6, 223–241 (1998)Google Scholar
  14. 14.
    Liaw, S.S.: Understanding user perceptions of World-wide web environments. Journal of Computer Assisted Learning 18, 137–148 (2002)CrossRefMathSciNetGoogle Scholar
  15. 15.
    Loyd, B.H., Loyd, D.E.: The reliability and validity of instruments for the assessment of computer attitudes. Educational and Psychological Measurement 45, 903–908 (1985)CrossRefGoogle Scholar
  16. 16.
    Martinez, M.E., Mead, N.A.: Computer competence: The first national assessment. National Assessment of Educational Progress, Princeton (1988)Google Scholar
  17. 17.
    Moon, S.: The relationships among gender, computer experience, and attitudes toward computers. Mid-South Educational Research Association, Nashville, TN (1994)Google Scholar
  18. 18.
    Murphy, C.A., Coover, D., Owen, S.V.: Development and Validity of the Computer Self-Efficacy Scale. Educational and Psychological Measurement 49, 893–899 (1989)CrossRefGoogle Scholar
  19. 19.
    Newhouse, C.P., Trinidad, S., Clarkson, B.D.: Quality pedagogy and effective learning with information and communications technologies (ICT): a review of the literature. Western Australian Department of Education. Perth: Specialist Educational Services (2002)Google Scholar
  20. 20.
    Parkyn, D.L.: Learning in the company of others: Fostering a discourse community with a collaborative electronic journal. College Teaching 47, 88–90 (1999)CrossRefGoogle Scholar
  21. 21.
    Patel, K., McCarthy, M.P.: Digital transformation: The essentials of e-business leadership. McGraw-Hill, New York (2000)Google Scholar
  22. 22.
    Price, R., Winiecki, D.: Attitudes and skill levels of college students entering a typical introductory college computing course. Journal of Computing in Teacher Education 12(1), 20–25 (1995)Google Scholar
  23. 23.
    Rainer, R.K., Miller, M.D.: An Assessment of the Psychometric Properties of the Computer Attitude Scale. Computers in Human Behavior 12(1), 93–105 (1996)CrossRefGoogle Scholar
  24. 24.
    Sanders, D.W., Shetlar, A.I.: Student Attitudes toward Web-Enhanced Instruction in an Introductory Biology Course. Journal of Research on Computing in Education 33(3), 251–262 (2001)Google Scholar
  25. 25.
    Slatter, J.M.: Developing a Web-assisted class: An interview with Mark Mitchell. Teaching of Psychology 25(2), 152–155 (1998)CrossRefGoogle Scholar
  26. 26.
    Sloan, A.: Learning with the Web: Experience of using the World Wide Web in a learning environment. Computers & Education 28(4), 207–212 (1997)CrossRefGoogle Scholar
  27. 27.
    Smith, B.N., Necessary, J.R.: The computer ability scale: Replication and extension involving college computer literacy student. In: AERA Business Education and Information Systems Research Special Interest Groups proceedings. American Educational Research Association, Washington (1996)Google Scholar
  28. 28.
    Soner, Y.: Effects of an educational computing course on preservice and inservice teachers: A discussion and analysis and use. Journal of Research on Computing in Education 32, 479–495 (2000)Google Scholar
  29. 29.
    Venkatesh, V., Morris, M.G.: Why don’t men ever stop to ask for directions? Gender, social influence, and their role in technology acceptance and usage behavior. MIS Quarterly 24(1), 115–140 (2000)CrossRefGoogle Scholar
  30. 30.
    Wilson, R.L., Weiser, M.: Adoption of Asynchronous Learning Tools by Traditional Full-Time Students: A Pilot Study. Information Technology and Management 2(4), 363–375 (2001)CrossRefGoogle Scholar
  31. 31.
    Yin, R.K.: Case Study Research: Design and Methods, 3rd edn. Sage Publications, London (2003)Google Scholar
  32. 32.
    Yuen, H.K., Ma, W.K.: Gender Differences in Teacher Computer Acceptance. Journal of Technology and Teacher Education 10(3), 365–382 (2002)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • Heidi Fung
    • 1
  • Allan Yuen
    • 2
  1. 1.Hong Kong Shue Yan College 
  2. 2.Centre for Information Technology in EducationThe University of Hong Kong 

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