Optimizing collaborative learning processes by using recommendation systems

  • Authors:

  • Sebastian Harrach;Mojisola Anjorin

  • Affiliations:

  • Darmstadt University of Technology, Darmstadt, Germany;Darmstadt University of Technology, Darmstadt, Germany

  • Venue:
  • Proceedings of the 16th annual joint conference on Innovation and technology in computer science education
  • Year:
  • 2011

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Abstract

In this paper, we present the work of the research group e-learning at the Darmstadt University of Technology by describing a paradigmatic research cooperation between the departments of philosophy and computer science. Here, the perspective of Parallelkommunikation from the philosophy of technology is used to increase the transparency of recommendation systems used in certain learning scenarios. This is achieved by providing explanations to allow a better understanding of the reasons behind recommendations. With this enhanced understanding, users can give more relevant feedback, thereby actively influencing the ranking of resources.