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  • 标题:Effective Knowledge Reinforcement in Networked Cooperative Work Based on Symbiotic Computing: Basic Concept and Its Application
  • 本地全文:下载
  • 作者:Toshimitsu MIYAMOTO ; Jun MAKISHI ; Gen KITAGATA
  • 期刊名称:Interdisciplinary Information Sciences
  • 印刷版ISSN:1340-9050
  • 电子版ISSN:1347-6157
  • 出版年度:2009
  • 卷号:15
  • 期号:1
  • 页码:1-11
  • DOI:10.4036/iis.2009.1
  • 出版社:The Editorial Committee of the Interdisciplinary Information Sciences
  • 摘要:In this paper, we propose a scheme to effectively support cooperative works by controlling information flow from real space (RS) to digital space (DS), and from DS to RS, based on the concept of “Symbiotic Computing.” In practice, our scheme controls availability of shared workspace in DS for cooperative works, according to the situation of tasks and workers in RS, in order to accelerate cooperative works, along with reinforcing “value placed on information.” Using this scheme, advanced support to improve quality of intellectual cooperative works can be realized. In this paper, we apply our proposed scheme to group learning domain. This is an educational activity domain where group members including a teacher and several students cooperatively solve the given problems. Applying to this domain, we show that the proposed scheme, i.e., suitable availability control of shared workspace in DS, can accelerate the cooperative works. From experiment results, we found that the cooperative problem solving by teacher and students were accelerated. Also we confirmed that the learning outcomes were improved, by controlling availability of the shared workspace, according to the progress of the group learning process. From these results we evaluated the effectiveness of our proposal.
  • 关键词:Symbiotic Computing;Group Learning;Cooperative Work;Multiagent System
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