Wednesday, March 7
5:15 PM-6:45 PM
CST
Capitol D

Finding Characteristic Part of Interaction inside SNS As the Learning Community

Poster/Demo ID: 35375
  1. Takahiro Tagawa
    Kyushu University
  2. Osamu Yamakawa
    Fukui Prefectural University
  3. aaa
    Koichi Yasutake
    Hiroshima University
  4. Takahiro Sumiya
    Hiroshima University
  5. Hitoshi Inoue
    Kyushu University

Abstract: The purpose of this research is to investigate how we can observe, measure and evaluate student's learning activities inside social network service (SNS) in detail and facilitate students based on such information. By combining the networks analysis using index values and community detection technique, we can detect the important change inside communication network in SNS and focus on specific and characteristic part of the communication.

No presider for this session.

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