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. (http://www.springerlink.com/content/r1278368177m14n1/)
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Communication dans un congrès
First European Conference on Technology Enhanced Learning, EC-TEL 2006, October 1-4, 2006, 2006, Crete, Greece. Springer Berlin / Heidelberg, LNCS 4227, pp.464-469, 2006, Lecture Notes in Computer Science, Vol. 4227. 〈10.1007/11876663〉
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https://telearn.archives-ouvertes.fr/hal-00190830
Contributeur : Jerome Zeiliger <>
Soumis le : vendredi 23 novembre 2007 - 08:58:35
Dernière modification le : vendredi 27 mars 2015 - 14:57:19

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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. Springer Berlin / Heidelberg, LNCS 4227, pp.464-469, 2006, Lecture Notes in Computer Science, Vol. 4227. 〈10.1007/11876663〉. 〈hal-00190830〉

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