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Laboratoire d'InfoRmatique en Image et Systèmes d'information
UMR 5205 CNRS / INSA de Lyon / Université Claude Bernard Lyon 1 / Université Lumière Lyon 2 / École Centrale de Lyon
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International conference with reviewing committee

Modelling and visualising traces for reflexivity in synchronous collaborative systems [PDF]
Damien Clauzel [LIRIS] , Karim Sehaba [LIRIS] , Yannick Prié [LIRIS]
11/2009
Dans International Conference on Intelligent Networking and Collaborative Systems (INCoS 2009), Barcelona, Spain. pp. 16-23. IEEE Computer Society Los Alamitos, CA, USA. ISBN 978-0-7695-3858-7.

Abstract

This article addresses issues related to traces modelling and visualisation in synchronous collaborative learning. The objective is to propose models and tools for representing, transforming, sharing and visualizing traces of users’ experiences. The traces here represent the users’ activities in their interactions with the learning platform. Our proposition is based on reflexive learning defined as the ability to interact with the situation, in order to meet one’s own limitations. This work takes place in the ITHACA project which aims at developing an on- line learning platform that uses interaction traces as knowledge sources on, and for, the learners’ learning as individuals or groups. In this paper, we propose a general framework for trace management and sharing, a generic model of synchronous collaborative activity based on the notion of interaction modes, which we specialized for whiteboard sharing and text chatting. We modelled an IRC client and developed a first implementation.

Additional information

lauréat du Best Paper Award

BibTex

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@InProceedings{Liris-4429,
  title         = {{Modelling and visualising traces for reflexivity in 
    synchronous collaborative systems}},
  author        = {Damien {Clauzel} and Karim {Sehaba} and Yannick {Prié}},
  year          = {2009},
  month         = nov,
  booktitle     = {International Conference on Intelligent Networking and 
    Collaborative Systems (INCoS 2009)},
  pages         = {16--23}, 
  publisher     = {IEEE Computer Society}, 
  DOI           = {10.1109/INCOS.2009.55}, 
  isbn          = {978-0-7695-3858-7}, 
  language      = {en},
  url           = {http://liris.cnrs.fr/publis/?id=4429},
  note          = {lauréat du Best Paper Award}
}