INTERACTIVE WHITEBOARD FOR COLLABORATIVE WORK - A Multi-agent based Solution

Franck Gechter, Stéphane Galland

2011

Abstract

An Interactive Whiteboard (IWB) is a device that is a giant tactile and projection screen. It can be considered as one of the main elements for pedagogical innovation with information technology. IWB allows to transform the classical classroom environment into a working and learning interactive environment. This pedagogical tool is particularly pertinent in higher school especially in scientific teaching where it allows to better illustrate scientific approach thanks to the ability to record annotations in association with a time line. If the use of IWB seems to be natural in lecture, it can also be used in tutorial and practical class where collaborative work is particularly important. The collaborative ability is closely tied to the softwares used. Few software have functionalities aimed at facilitate collaborative work. This feature is the main issue of this article. To develop this ability, a multi-agent approach has been chosen. Multi-agent systems approach is one of the most interesting thanks to its intrinsic properties and features such as simplicity, flexibility, reliability, selforganization/emergent phenomena, low cost agent design and adaptation skills,... This paper presents the solution developed in order to make IWB able to communicate with each other.

References

  1. Aiken, R. M., Bessagnet, M.-N., and Israel, J. (2005). Interaction and Collaboration Using an Intelligent Collaborative Learning Environment. Education and Information Technologies, pages 67-82.
  2. Bourjot, C., Chevrier, V., and Thomas, V. (2002). How social spiders inspired an approach to region detection. In proceedings of AAMAS 2002, pages 426-433.
  3. Brueckner, S. (2000). Return from the ant : Synthetic ecosystems for manufacturing control. Thesis at Humboldt University Berlin, Department of Computer Science, 2000.
  4. Coplien, J. O. and Schmidt, D. C. (1995). Pattern Languages of Program Design. Addison-Wesley Educational Publishers Inc.
  5. 8Laboratoire Systèmes et Transports, Multiagent Team -
  6. http://www.multiagent.fr 9http://www.voxelia.com
  7. DiMarzo-Serugendo, G., Karageorgos, A., Rana, O., and Zambonelli, F. (2004). Engineering Self-Organising Systems: Nature-Inspired Approaches to Software Engineering. Lecture notes in Atificial intelligence, n 2977 ISBN-3540212019.
  8. Drogoul, A. and Dubreuil, C. (1993). A distributed approach to n-puzzle solving. proceedings of the Distributed Artificial Intelligence Workshop, Seattle (United-States).
  9. Drogoul, A. and Ferber, J. (1993). From tom-thumb to the dockers: Some experiments with foraging robots. proceedings of From Animals to Animats II, pages 451- 459.
  10. Ferber, J. (1999). Multi-Agent Systems, an Introduction to Distributed Artificial Intelligence. Addison-Wesley.
  11. Gechter, F., Chevrier, V., and Charpillet, F. (2006). A reactive agent-based problem-solving model: Application to localization and tracking. TAAS, 1(2):189-222.
  12. Komis, V., Avouris, N., and Fidas, C. (2002). ComputerSupported Collaborative Concept Mapping: Study of Synchronous Peer Interaction. Education and Information Technologies, pages 169-188.
  13. Muller, J.-P. (2004). Emergence of collective behavior and problem solving. In Proceedings of Engineering Societies in the Agents World, ESAW 03, LNAI 3071., pages 1-21. Springer Verlag.
  14. Parunak, H. (1997). Go to the ant: Engineering principles from natural agent systems. In Annals of Operations Research.
  15. Reenskaug, T. (2003). The Model-View-Controller - Its Past and Present. In Int. Software Development Conference (JAOO/GOTO), Aarhus, Denmark.
  16. Reynolds, C. (1987). Flocks, herds, and schools: A distributed behavioral model, in computer graphics. SIGGRAPH Conference Proceedings, pages 25-34.
  17. Simonin, O. and Gechter, F. (2006). An environment-based principle to design reactive multi-agent systems for problem solving. In Environments for Multiagent Systems II, extended and selected paper from E4MAS'05 workshop.LNAI 3830, pages 32-49. Springer Verlag.
  18. Tewissen, F., Baloian, N. A., Hoppe, H. U., and Reimberg, E. (2000). ”MatchMaker”: Synchronising Objects in Replicated Software-Architectures. In Proceedings of the 6th International Workshop on Groupware (CRIWG 7800), pages 60-67, Washington, DC, USA. IEEE Computer Society.
  19. Weyns, D., Parunak, V., Michel, F., Holvoet, T., and Ferber, J. (2005). Environments for multiagent systems, state of the art and research challenges. In Post-proceedings of the first International Workshop on Environments for Multiagent Systems, LNAI vol 3374. Springer Verlag.
  20. Zeghal, K. and Ferber, J. (1994). A reactive approach for distributed air traffic control. proceedings of Avignon94, pages 381-390.
Download


Paper Citation


in Harvard Style

Gechter F. and Galland S. (2011). INTERACTIVE WHITEBOARD FOR COLLABORATIVE WORK - A Multi-agent based Solution . In Proceedings of the 3rd International Conference on Computer Supported Education - Volume 1: CSEDU, ISBN 978-989-8425-49-2, pages 270-278. DOI: 10.5220/0003340402700278


in Bibtex Style

@conference{csedu11,
author={Franck Gechter and Stéphane Galland},
title={INTERACTIVE WHITEBOARD FOR COLLABORATIVE WORK - A Multi-agent based Solution},
booktitle={Proceedings of the 3rd International Conference on Computer Supported Education - Volume 1: CSEDU,},
year={2011},
pages={270-278},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003340402700278},
isbn={978-989-8425-49-2},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 3rd International Conference on Computer Supported Education - Volume 1: CSEDU,
TI - INTERACTIVE WHITEBOARD FOR COLLABORATIVE WORK - A Multi-agent based Solution
SN - 978-989-8425-49-2
AU - Gechter F.
AU - Galland S.
PY - 2011
SP - 270
EP - 278
DO - 10.5220/0003340402700278