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Conference papers

A Neural Approach for Modeling the Inference of Awareness in Computer-Supported Collaboration

Abstract : Individuals interacting in a computer supported collaborative learning (CSCL) environment produce a variety of information elements during their participation; these information elements usually have a complex structure and semantics, which make it rather difficult to find out the behavioral attitudes and profiles of the users involved. This work provides a model that can be used to discover awareness information lying underneath multi-user interaction. This information is initially captured in log files and then is represented in a specific form in events-databases. By using data mining techniques, it is possible to infer both the users' behavioral profiles and the relationships that occur in a CSCL environment. In this work we combine different data mining strategies and a neural-based approach in order to construct a multi-layer model that provides a mechanism for inferring different types of awareness information from group activity and presenting it to the interested parties. (
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Contributor : Jerome Zeiliger Connect in order to contact the contributor
Submitted on : Friday, November 23, 2007 - 8:58:35 AM
Last modification on : Tuesday, September 17, 2019 - 10:37:19 AM

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Thanasis Daradoumis, Luis A. Casillas. A Neural Approach for Modeling the Inference of Awareness in Computer-Supported Collaboration. First European Conference on Technology Enhanced Learning, EC-TEL 2006, October 1-4, 2006, 2006, Crete, Greece. pp.464-469, ⟨10.1007/11876663⟩. ⟨hal-00190830⟩



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