Analyzing the flow of ideas and profiles of contributors in an open learning community

  • Authors:
  • Iassen Halatchliyski;Tobias Hecking;Tilman Göhnert;H. Ulrich Hoppe

  • Affiliations:
  • Knowledge Media Research Center, Tübingen, Germany;University of Duisburg-Essen, Duisburg, Germany;University of Duisburg-Essen, Duisburg, Germany;University of Duisburg-Essen, Duisburg, Germany

  • Venue:
  • Proceedings of the Third International Conference on Learning Analytics and Knowledge
  • Year:
  • 2013

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Abstract

This paper provides an introduction to the scientometric method of main path analysis and its application to detecting idea flows in an online learning community using data from Wikiversity. We see this as a step forward in adapting and adopting network analysis techniques for analyzing the evolution of artifacts in knowledge building communities. The analysis steps are presented in detail including the description of a tool environment ("workbench") designed for flexible use by non-computer experts. Through the definition of directed acyclic graphs the meaningful interconnectedness of learning resources is made accessible to analysis in consideration of the temporal sequence of their creation during a collaborative process. The potential of the method is elaborated for analyzing the overall learning process of a community as well as the individual contributions of the participants.