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Perceived Fit and Satisfaction on Online Learning Performance: An Empirical Study

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Edutainment Technologies. Educational Games and Virtual Reality/Augmented Reality Applications (Edutainment 2011)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 6872))

Abstract

Online learning systems (OLSs) have been widely implemented by higher education institutions to support teaching and learning by assisting instructors’ and students’ interactive communications. This paper integrates information system (IS) continuance theory with task-technology fit (TTF) to extend understandings of the antecedents of the intention to continue OLS and impacts on learning. Results reveal that perceived fit and satisfaction are important antecedents of the intention to continue OLS and individual performance.

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Author information

Authors and Affiliations

  1. Department of Management Information Systems, National Chiayi University, 580 Sinmin Road, Chiayi, Taiwan, R.O.C.

    Wen-Shan Lin

Authors
  1. Wen-Shan Lin
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Editor information

Editors and Affiliations

  1. School of Computing and Information Systems, Athabasca University, Edmonton, AB, Canada

    Maiga Chang

  2. Graduate Institute of Network Learning Technology, National Central University, Jhongli City, Taiwan

    Wu-Yuin Hwang

  3. Graduate Institute of Information & Computer Education, National Taiwan Normal University, Taipei, Taiwan

    Ming-Puu Chen

  4. University of Education, Weingarten, Germany

    Wolfgang Müller

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© 2011 Springer-Verlag Berlin Heidelberg

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Lin, WS. (2011). Perceived Fit and Satisfaction on Online Learning Performance: An Empirical Study. In: Chang, M., Hwang, WY., Chen, MP., Müller, W. (eds) Edutainment Technologies. Educational Games and Virtual Reality/Augmented Reality Applications. Edutainment 2011. Lecture Notes in Computer Science, vol 6872. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23456-9_26

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  • DOI: https://doi.org/10.1007/978-3-642-23456-9_26

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-23455-2

  • Online ISBN: 978-3-642-23456-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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