Learning Analytics for Learning Blogospheres

  • Manh Cuong Pham
  • Michael Derntl
  • Yiwei Cao
  • Ralf Klamma
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7558)


In blogospheres the learning process is characterized by evolving roles of bloggers and dynamic change of content. Existing approaches for learning blogospheres do not provide a comprehensive solution to dealing with these dynamics. In this paper, we propose a learning analytics approach for learning blogospheres unifying two complementary perspectives: (1) structural analysis of the blogosphere to identify learners’ social capital; and (2) content analysis to capture dynamics in blog content over time. To support both types of analysis, social network analysis methods are applied as a fundamental approach to analyzing and visualizing knowledge sharing on learning blogospheres. We exemplify the learning analytics approach using two real-world learning blogospheres: the Mediabase – a large blog collection for technology enhanced learning, and the European eTwinning Network – a lifelong learning blogsphere. Results show that both analytics perspectives in combination advocate an advanced learning analytics approach to understanding and assessing learning processes in learning blogospheres.


learning analytics content analysis Web 2.0 social network analysis social capital 


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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Manh Cuong Pham
    • 1
  • Michael Derntl
    • 1
  • Yiwei Cao
    • 1
  • Ralf Klamma
    • 1
  1. 1.Advanced Community Information Systems (ACIS), Informatik 5RWTH Aachen UniversityAachenGermany

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