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Modelling the Adoption of Web-Based Mobile Learning – An Innovation Translation Approach

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Advances in Web-Based Learning - ICWL 2003 (ICWL 2003)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2783))

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Abstract

The potential of mobile computing applications in learning is clear, but to have any of this potential realised is problematic. Before a new educational technology can be used it must be adopted. Conventional approaches to innovation suggest that adoption decisions are related mostly to the characteristics of the technology, but we think the process is much more complex than this and find these approaches too simplistic. In this paper we apply the principles of innovation translation theory to the process of adoption of mobile computing in web-based education.

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Author information

Authors and Affiliations

  1. Victoria Graduate School of Business, Victoria University, Melbourne, Australia

    Arthur Tatnall

  2. School of Information Technology, RMIT University, Melbourne, Australia

    Bill Davey

Authors
  1. Arthur Tatnall
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  2. Bill Davey
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Editor information

Editors and Affiliations

  1. Deakin University, Melbourne, Australia

    Wanlei Zhou

  2. School of Information Technology, Deakin University, 221 Burwood Highway, 3125, Burwood VIC, Australia

    Paul Nicholson

  3. School of Information Systems, Deakin University, Melbourne, Australia

    Brian Corbitt

  4. Department of Computer Science, City University of Hong Kong, Hong Kong,  

    Joseph Fong

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© 2003 Springer-Verlag Berlin Heidelberg

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Tatnall, A., Davey, B. (2003). Modelling the Adoption of Web-Based Mobile Learning – An Innovation Translation Approach. In: Zhou, W., Nicholson, P., Corbitt, B., Fong, J. (eds) Advances in Web-Based Learning - ICWL 2003. ICWL 2003. Lecture Notes in Computer Science, vol 2783. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-45200-3_40

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  • DOI: https://doi.org/10.1007/978-3-540-45200-3_40

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-40772-0

  • Online ISBN: 978-3-540-45200-3

  • eBook Packages: Springer Book Archive

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