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

  • Ralf Klamma
  • Marc Spaniol
  • Yiwei Cao
  • Matthias Jarke
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4227)

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.

Keywords

Social Network Social Network Analysis Knowledge Creation Mailing List Structural Hole 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Ralf Klamma
    • 1
  • Marc Spaniol
    • 1
  • Yiwei Cao
    • 1
  • Matthias Jarke
    • 1
  1. 1.Lehrstuhl Informatik VRWTH Aachen UniversityGermany

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