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Pattern-Based Cross Media Social Network Analysis for Technology Enhanced Learning in Europe

  • Conference paper
Innovative Approaches for Learning and Knowledge Sharing (EC-TEL 2006)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 4227))

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Abstract

It is extremely challenging to get an overview of the state-of-the-art in technology enhanced learning in Europe. Rapid technological and pedagogical innovations, constantly changing markets, a vivid number of small and medium enterprises, complex policy processes, ongoing political and societal debates on the pros and cons of technology enhanced leaning, combined with many languages and different cultures, make it almost impossible for people to be informed. We want to introduce the media base and the measure tools for pattern-based cross media social network analysis, created by the PROLEARN network of excellence in professional learning. The main goal of this endeavour is the reduction of complexity for actors in digital social networks by applying ideas from social software and already successful methods for complexity reduction, such as information visualization, social network analysis and pattern languages.

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Author information

Authors and Affiliations

  1. Lehrstuhl Informatik V, RWTH Aachen University, Germany

    Ralf Klamma, Marc Spaniol, Yiwei Cao & Matthias Jarke

Authors
  1. Ralf Klamma
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  2. Marc Spaniol
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  3. Yiwei Cao
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  4. Matthias Jarke
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Editor information

Editors and Affiliations

  1. L3S Research Center, Leibniz Universität Hannover, Appelstrasse 9a, 30167, Hannover, Germany

    Wolfgang Nejdl

  2. Knowledge Management Institute, Graz University of Technology, Inffeldgasse 21a/II, P.O. Box, 8010, Graz, Austria

    Klaus Tochtermann

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© 2006 Springer-Verlag Berlin Heidelberg

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Klamma, R., Spaniol, M., Cao, Y., Jarke, M. (2006). Pattern-Based Cross Media Social Network Analysis for Technology Enhanced Learning in Europe. In: Nejdl, W., Tochtermann, K. (eds) Innovative Approaches for Learning and Knowledge Sharing. EC-TEL 2006. Lecture Notes in Computer Science, vol 4227. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11876663_20

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  • DOI: https://doi.org/10.1007/11876663_20

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-45777-0

  • Online ISBN: 978-3-540-46234-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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