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Organization of Discussion Knowledge Graph from Collaborative Learning Record

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Knowledge-Based Intelligent Information and Engineering Systems (KES 2007)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 4694))

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Abstract

Learners generate their own answers by exchanging their opinions through communication in collaborative learning. Therefore, the conversation record and their private descriptions often include effective information for solving exercises. Such information can be used for assisting other learners who try to solve the same exercise. Our objective is to extract effective knowledge from collaborative learning record and to arrange such knowledge from viewpoint of solving the exercise progressively. Participants’ private descriptions are generated according to the utterance, so that the descriptions can be linked to the effective utterance that is newly uttered. Therefore, in our approach, knowledge is extracted based on participants’ annotations and described time. Then, the discussion knowledge graph is introduced from the conversation record and participants’ descriptions. Learners can find hints easily and solve exercise effectively with discussion knowledge graph.

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Bruno Apolloni Robert J. Howlett Lakhmi Jain

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© 2007 Springer-Verlag Berlin Heidelberg

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Kakehi, M., Kojiri, T., Watanabe, T., Yamada, T., Iwata, T. (2007). Organization of Discussion Knowledge Graph from Collaborative Learning Record. In: Apolloni, B., Howlett, R.J., Jain, L. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2007. Lecture Notes in Computer Science(), vol 4694. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74829-8_74

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  • DOI: https://doi.org/10.1007/978-3-540-74829-8_74

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-74828-1

  • Online ISBN: 978-3-540-74829-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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