Analyzing the effectiveness of collaborative condition monitoring using adaptive measure

Hee Seop Han, Hyeoncheol Kim, Sun Gwan Han

Research output: Contribution to journalArticle

5 Citations (Scopus)

Abstract

New opened community systems such as wiki support the entire freedom of expression for all users. Wiki is a powerful hypertext-based collaborative system and a conversational knowledge management system. The method of group knowledge construction in wiki depends on the social interaction. However, some factors interrupt the social interaction needed for collaboration in wiki. At first the linked-structure is hidden and continuously changeable. Furthermore, the linked structure has become more and more complex. The linked structure's complexity interrupts collaborative condition monitoring and group collaboration. We develop and test new adaptive measures proposed in this paper to decide whether or not they satisfy a group's collaborative condition. The visualization of these scores will support a basis to examine the collaborative condition and to decide the starting point of next activity in process-oriented learning. The result of experiment shows that changes in score values go with Collaboration Status. And we analyze the effectiveness of collaborative condition monitoring in the viewpoint of pedagogy.

Original languageEnglish
Pages (from-to)1495-1500
Number of pages6
JournalWSEAS Transactions on Information Science and Applications
Volume3
Issue number8
Publication statusPublished - 2006 Aug 1

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Keywords

  • Collaborative learning
  • Knowledge management
  • Visualization
  • Wiki community

ASJC Scopus subject areas

  • Computer Science (miscellaneous)
  • Computational Mathematics

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