Modeling Collaborators from Learner’s Viewpoint Reflecting Common Collaborative Learning Experience

  • Akira Komedani
  • Tomoko Kojiri
  • Toyohide Watanabe
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4251)


In collaborative learning through the Internet, learners sometimes cannot communicate with other learners smoothly because they cannot focus on particular learners. Since a learner tends to focus on others whom he thinks understands exercise well, we have already proposed a mechanism for inferring other learners’ understanding levels from their utterances using a solution network which represents understandability of knowledge contained in the exercise. However, the understandability of knowledge may differ among learners. In this paper, understanding levels for general knowledge are introduced as a permanent learner model. The permanent learner model is updated based on understanding levels acquired after each collaborative learning. Then, the understandability in the solution network is generated by using the permanent model.


Bayesian Network Domain Knowledge Collaborative Learning Trust Level Permanent Model 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Akira Komedani
    • 1
  • Tomoko Kojiri
    • 1
  • Toyohide Watanabe
    • 1
  1. 1.Department of Systems and Social Informatics, Graduate School of Information ScienceNagoya UniversityNagoyaJapan

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