Factors influencing the adoption and continued use of e-learning websites

博士 === 國立臺灣科技大學 === 資訊管理系 === 96 === With the advent of e-learning technologies in the past decade, the accessibility of training, teaching, and learning has drastically increased. The challenge for the education enterprise now is how to attract learners to their e-learning services. In this study,...

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Bibliographic Details
Main Authors: Hsiu-Li Liao, 廖秀莉
Other Authors: Hsi-Peng Lu
Format: Others
Language:en_US
Published: 2008
Online Access:http://ndltd.ncl.edu.tw/handle/34818328780990343742
Description
Summary:博士 === 國立臺灣科技大學 === 資訊管理系 === 96 === With the advent of e-learning technologies in the past decade, the accessibility of training, teaching, and learning has drastically increased. The challenge for the education enterprise now is how to attract learners to their e-learning services. In this study, a technology adoption model is developed to predict the users’ intention of adoption and their continued use behavior. The results show significant evidence in support of the hypothesis. The findings indicate that perceptions of relative advantage and compatibility are significantly related to users’ intention to use e-learning. Also, the intention is significantly related to their actual use of e-learning. Furthermore, the technology adoption of learners with prior e-learning experience is different from those without prior e-learning experience. This work also identifies which model supports a more explanation of variance in the e-learning context. Both TAM (Technology Acceptance Model, TAM) and PCI (Perception of innovation characteristics, PCI) antecedents are investigated in the same context of an e-learning website. Experimental results demonstrate that the PCI constructs explain slightly more variance in users’ intentions of continued use than TAM antecedents. The PCI adoption model provides increasingly rich information concerning the continued use of e-learning website. These findings may contribute to deeper understanding of e-learning users’ perceptions in terms of adoption and continued use behavior.