Learning analytics for learning blogospheres

  • Authors:
  • Manh Cuong Pham;Michael Derntl;Yiwei Cao;Ralf Klamma

  • Affiliations:
  • Advanced Community Information Systems (ACIS), Informatik 5, RWTH Aachen University, Aachen, Germany;Advanced Community Information Systems (ACIS), Informatik 5, RWTH Aachen University, Aachen, Germany;Advanced Community Information Systems (ACIS), Informatik 5, RWTH Aachen University, Aachen, Germany;Advanced Community Information Systems (ACIS), Informatik 5, RWTH Aachen University, Aachen, Germany

  • Venue:
  • ICWL'12 Proceedings of the 11th international conference on Advances in Web-Based Learning
  • Year:
  • 2012

Quantified Score

Hi-index 0.00

Visualization

Abstract

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.