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Personalized E-Learning through Environment Design and Collaborative Activities

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HCI and Usability for Education and Work (USAB 2008)

Part of the book series: Lecture Notes in Computer Science ((LNPSE,volume 5298))

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Abstract

Over the last century, many theoretical frameworks and technological solutions for personalized e-learning have emerged. The underlying models, however, are often based on the practice that domain experts develop an adaptation strategy to personalize content or parts of a learning platform, which leads to different problematic aspects decreasing the feasibility or utility of such approaches. After giving a brief overview of the historical development and basic concepts of personalized e-learning, we outline the shortcomings of the traditional ‘top-down, ex ante’ models and present an alternative approach which deals with personal learning environments, web application mashups, learning activities and learner interactions, as well as pattern-based best practice sharing. Furthermore, a prototypic implementation for our ‘learner-driven, bottom-up’ approach to personalized e-learning, namely the ‘Mash-UP Personal Learning Environment’ (MUPPLE), is presented and discussed on the basis of a concrete scenario.

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Author information

Authors and Affiliations

  1. Institute for Information Systems and New Media, Vienna University of Economics and Business Administration, Augasse 2-6, 1090, Vienna, Austria

    Felix Mödritscher & Fridolin Wild

Authors
  1. Felix Mödritscher
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  2. Fridolin Wild
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Editors and Affiliations

  1. Institute for Medical Informatics, Statistics and Documentation (IMI) Research Unit HCI4MED, Medical University Graz (MUG), Auenbruggerplatz 2/V, 8036, Graz, Austria

    Andreas Holzinger

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Mödritscher, F., Wild, F. (2008). Personalized E-Learning through Environment Design and Collaborative Activities. In: Holzinger, A. (eds) HCI and Usability for Education and Work. USAB 2008. Lecture Notes in Computer Science, vol 5298. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-89350-9_26

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  • DOI: https://doi.org/10.1007/978-3-540-89350-9_26

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-89349-3

  • Online ISBN: 978-3-540-89350-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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