The purpose and characteristics of e-learning are different from other Web applications. This paper uses an extended Technology Acceptance Model (TAM) to explain the motivation, attitude and acceptance behind participants of e-learning. The factors that determine Web quality include the external variables: system functionality, interface design, pedagogic and contents, as well as community. Perceived enjoyment was also added to this model as a factor. The empirical results indicated that the extended TAM explains the acceptability of on-line learning systems with high reliability, validity, and model fitness. All "beliefs" (user perceptions) - perceived usefulness, ease of use, and enjoyment - are good predictors of attitude and acceptance. Pedagogic, and content as well as community are important external factors that predict e-learning acceptance. © Springer-Verlag Berlin Heidelberg 2007.
CITATION STYLE
Fu, F. L., Chou, H. G., & Yu, S. C. (2007). Activate interaction relationships between students acceptance behavior and e-learning. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4505 LNCS, pp. 670–677). Springer Verlag. https://doi.org/10.1007/978-3-540-72524-4_69
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