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Understanding Support of Group in Web Collaborative Learning, Based on Divergence among Different Answering Processes

  • Tomoko Kojiri
  • Toyohide Watanabe
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1821)

Abstract

Recently, web based collaborative learning is one of the hottest subject. In collaborative learning, not only deriving answer, but also considering various methods is important in order to get the ability to deal with different exercises. Therefore, our objective is to grasp the process of solving answer and specify the derived answering paths, then generate advice to make the learning effectual.

In this paper, we focus on the mechanism to grasp the extent of discussion and detect answering methods that students need to discuss about. Our approach is to arrange the answering paths on “discussion-extent projection” based on the similarity among them and detect the answering paths that include different viewpoint than derived one. In addition, we address “divergent tree” which represents whole answering paths with respect to the divergent points among them in order to calculate the similarity.

Keywords

Collaborative Learning Learning Situation Learning Group Computer Support Collaborative Learn Distinguishable Word 
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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References

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Copyright information

© Springer-Verlag Berlin Heidelberg 2000

Authors and Affiliations

  • Tomoko Kojiri
    • 1
  • Toyohide Watanabe
    • 1
  1. 1.Department of Information Engineering, Graduate School of EngineeringNagoya UniversityNagoyaJapan

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