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Applying the Technology Acceptance Model to Educational Hypermedia: A Field Study
Article

, Ramapo College of New Jersey, United States

Journal of Educational Multimedia and Hypermedia Volume 14, Number 3, ISSN 1055-8896 Publisher: Association for the Advancement of Computing in Education (AACE), Waynesville, NC USA

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Abstract

** Invited as a paper from ED-MEDIA 2004 ** This paper applies the technology acceptance model (TAM) to an online course companion site of a textbook to be used by participants in this study. This paper reviews literature on TAM and evaluates a set of hypotheses based on the theoretical relationships established in the TAM model. Results suggest that TAM is overall an effective tool for predicting user acceptance of such Web-based course support systems and for evaluating competing hypermedia-based educational products. Discussion and suggestions for future research are offered.

Citation

Gao, Y. (2005). Applying the Technology Acceptance Model to Educational Hypermedia: A Field Study. Journal of Educational Multimedia and Hypermedia, 14(3), 237-247. Norfolk, VA: Association for the Advancement of Computing in Education (AACE). Retrieved June 2, 2023 from .

© 2005 Association for the Advancement of Computing in Education (AACE)

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References

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  1. Ajzen, I., & Fishbein, M. (1980). Understanding attitudes and predicting social behavior. Englewood Cliffs, NJ: Prentice-Hall.
  2. Davis, F.D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13, 319-340.
  3. Davis, F.D., Bagozzi, R.P., & Warshaw, P.R. (1989). User acceptance of computer technology: Comparison of two theoretical models. Management Science, 35(8), 982-1003.
  4. Fishbein, M., & Ajzen, I. (1975). Belief attitude, intention and behavior: An introduction to theory and research. Reading, MA: Addison-Wesley.
  5. Hu, P.J., Chau, P.Y.K., Sheng, O.R.L., & Tam, K.Y. (1999). Examining the technology acceptance model using physical acceptance of telemedicine technology. Journal of management Information Systems, 16(2), 91-112.
  6. Koufaris, M. (2002). Applying the technology acceptance model and fl ow theory to online consumer behavior. Information Systems Research, 13(2), 205223.
  7. Mathieson, K. (1991). Predicting user intentions: Comparing the technology acceptance model with the theory of planned behavior. Information Systems Research, 2(3), 173-191.
  8. Morris, M.G., & Dillon, A. (1997). The infl uence of user perceptions on software utilization: Application and evaluation of a theoretical model of technology acceptance. IEEE Software, 14(4), 56-75.
  9. Neter, J., Kutner, M.H., Nachtsheim, C.J., & Wasserman, W. (1996). Applied liner statistical models (4th ed.). Burr Ridge, IL: Irwin.
  10. Nunnally, J.C. (1978). Psychometric theory. New York: McGraw Hill.
  11. Pedhazur, E.J., & Schmelkin, L.P. (1991). Measurement, design, and analysis: An integrated approach. Hillsdale, NJ: Lawrence Erlbaum.
  12. Psaromiligkos, Y., & Retalis, S. (2003). Re-evaluating the effectiveness of a webbased learning system: A comparative case study. Journal of Educational Multimedia and Hypermedia, 12(1), 5-20.
  13. Studenmund, A.H. (2001). Using econometrics: A practical guide (4th ed.). Reading, PA: Addison-Wesley.
  14. Szajna, B. (1996). Empirical evaluation of the revised technology acceptance model. Management Science, 42(1), 85-89.

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