Pattern-Based cross media social network analysis for technology enhanced learning in europe

  • Authors:

  • Ralf Klamma;Marc Spaniol;Yiwei Cao;Matthias Jarke

  • Affiliations:

  • Lehrstuhl Informatik V, RWTH Aachen University, Germany;Lehrstuhl Informatik V, RWTH Aachen University, Germany;Lehrstuhl Informatik V, RWTH Aachen University, Germany;Lehrstuhl Informatik V, RWTH Aachen University, Germany

  • Venue:
  • EC-TEL'06 Proceedings of the First European conference on Technology Enhanced Learning: innovative Approaches for Learning and Knowledge Sharing
  • Year:
  • 2006

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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.