Analyzing the effectiveness of collaborative condition monitoring using adaptive measure
|Analyzing the effectiveness of collaborative condition monitoring using adaptive measure|
|Author(s)||Han H.-S., Kim H., Han S.-G.|
|Published in||WSEAS Transactions on Information Science and Applications|
|Keyword(s)||Collaborative learning, Knowledge management, Visualization, Wiki community (Extra: Adaptive systems, Condition monitoring, Hypertext systems, Learning systems, Visualization, Collaborative learning, Knowledge management, Wiki community, Knowledge based systems)|
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Analyzing the effectiveness of collaborative condition monitoring using adaptive measure is a 2006 journal article written in English by Han H.-S., Kim H., Han S.-G. and published in WSEAS Transactions on Information Science and Applications.
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.
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