Towards an E-Learning Platform Multi-Agent Based On the E-Tutoring for Collaborative Work
This article presents our prototype MASET (Multi
Agents System for E-Tutoring Learners engaged in online
collaborative work). MASET that we propose is a system which
basically aims to help tutors in monitoring the collaborative work of
students and their various interactions. The evaluation of such
interactions by the tutor is based on the results provided by the
automatic analysis of the interaction indicators. This system is
predicated upon the middleware JADE (Java Agent Development
Framework) and e-learning Moodle platform. The MASET
environment is modeled by AUML which allows structuring the
different interactions between agents for the fulfillment and
performance of online collaborative work. This multi-agent system
has been the subject of a practical experimentation based on the
interactions data between Master Computer Engineering and System
students.
[1] Blanchard, E., Razaki, R., Frasson, C. (2005). Cross-cultural adaptation
of e-Learning: a methodology. International Conference on e-Learning
(ELEARN2005), Vancouver, Canada.
[2] Wooldridge, M. (2002). An Introduction to MultiAgent Systems.
Chichester, England: John Wiley & Sons.
[3] P. Brusilovski, “Distributed Intelligent Tutoring on the Web”. 8th World
Conference of Artificial Intelligence in Education. IOS Press. pp. 482-
489, 1997.
[4] Aleven, V., McLaren, B., Roll, I., Koedinger, K. (2004). Toward
tutoring help seeking: applying cognitive modeling to meta-cognitive
skills. Intelligent Tutoring Systems (ITS 2004), Springer-Verlag LNCS
3220, Maceïo, Alagoas, Brésil, pp. 227-239.
[5] G. Caire and D. Cabanillas, “JADE tutorial: creating and using
application specific ontologies”, 2004.
[6] Jade. (2009). Java Agent Development Framework, http://jade.tilab.com.
[7] FIPA00037. (2002). FIPA ACL communicative act library specification.
Techenical report, FIPA..
[8] FIPA ACL Message Structure Specification. Accessible en ligne à
:ttp://www.fipa.org/specs/fipa00061/SC00061G.html.
[9] Bailin and Truszkowski, 2002 Sidney C. Bailin and Walt Truszkowski.
Ontology
[10] http://jade.tilab.com/ Website JADE (Java Agent DEvelopment
Framework).
[11] Guéraud, V., Michelet, S., Adam, J "Suivi de classe à distance:
propositions génériques et expérimentation en électricité",
Environnements Informatiques pour l’Apprentissage Humain, Lausanne
2007.
[12] Dimitracopoulou, A., Bruillard, E. (2007). Enrichir les interfaces de
forums par la visualisation d’analyses automatiques des interactions et
du contenu, Revue STICEF, Volume 13, 2006, ISSN : 1764-7223, mis
en ligne le 21/02/2007.
[13] Charlier, Daele, Docq, Lebrun, Lusalusa, Peeters, Deschryver (1999).
Tuteurs en ligne : quels rôles, quelle formation? Deuxièmes Entretiens
internationaux sur l'enseignement à distance, CNED, Poitiers, France, p.
337-345.
[14] Bratitsis, T., Dimitracopoulou, A. (2006). Indicators for measuring
quality in asynchronous discussion forums, International Conference on
Cognition and Exploratory Learning in Digital Era (CELDA2006),
IADIS (International Association for Development of the Information
Society) 8-10 December, 2006, Barcelona, Spain.
[15] Russell, S., Norwig, P. (2003). Artificial Intelligence: A Modern
Approach (2nd ed.). Upper Saddle River, NJ: Prentice Hall.
[16] Maes, P. (1995). Artificial life meets entertainment: life like autonomous
agents. Communications of the ACM, vol. 38 (11), pp. 108-114.
[17] Gilbert, D., Aparicio, M., Atkinson, B., Brady, S., Ciccarino, J., Grosof,
B., O'Connor, P.,Osisek, D., Pritko, S., Spagna, R., Wilson L. (1995).
The role of intelligent agents in the information infrastructure. IBM
Report.
[18] Angélique Dimitracopoulou, Éric Bruillard « Enrichir les interfaces de
forums par la visualisation d’analyses automatiques des interactions et
du contenu » Volume 13, 2006
[19] Wooldridge, M., Jennings, N. R. (1995). Intelligent agents: theory and
practice. The knowledge engineering review, vol. 10(2), pp. 115-152
[20] Abdelhamid Zouhair, El Mokhtar En-Naimi, Patrick Person, Cyrille
Bertelle «Our System IDCBR-MAS: from the Modelisation by AUML
to the Implementation under JADE Platform» LIST Lab, The University
of Abdelmalek Essaâdi, FST of Tangier, Morocco LITIS Lab, The
University of Le Havre, France.
[1] Blanchard, E., Razaki, R., Frasson, C. (2005). Cross-cultural adaptation
of e-Learning: a methodology. International Conference on e-Learning
(ELEARN2005), Vancouver, Canada.
[2] Wooldridge, M. (2002). An Introduction to MultiAgent Systems.
Chichester, England: John Wiley & Sons.
[3] P. Brusilovski, “Distributed Intelligent Tutoring on the Web”. 8th World
Conference of Artificial Intelligence in Education. IOS Press. pp. 482-
489, 1997.
[4] Aleven, V., McLaren, B., Roll, I., Koedinger, K. (2004). Toward
tutoring help seeking: applying cognitive modeling to meta-cognitive
skills. Intelligent Tutoring Systems (ITS 2004), Springer-Verlag LNCS
3220, Maceïo, Alagoas, Brésil, pp. 227-239.
[5] G. Caire and D. Cabanillas, “JADE tutorial: creating and using
application specific ontologies”, 2004.
[6] Jade. (2009). Java Agent Development Framework, http://jade.tilab.com.
[7] FIPA00037. (2002). FIPA ACL communicative act library specification.
Techenical report, FIPA..
[8] FIPA ACL Message Structure Specification. Accessible en ligne à
:ttp://www.fipa.org/specs/fipa00061/SC00061G.html.
[9] Bailin and Truszkowski, 2002 Sidney C. Bailin and Walt Truszkowski.
Ontology
[10] http://jade.tilab.com/ Website JADE (Java Agent DEvelopment
Framework).
[11] Guéraud, V., Michelet, S., Adam, J "Suivi de classe à distance:
propositions génériques et expérimentation en électricité",
Environnements Informatiques pour l’Apprentissage Humain, Lausanne
2007.
[12] Dimitracopoulou, A., Bruillard, E. (2007). Enrichir les interfaces de
forums par la visualisation d’analyses automatiques des interactions et
du contenu, Revue STICEF, Volume 13, 2006, ISSN : 1764-7223, mis
en ligne le 21/02/2007.
[13] Charlier, Daele, Docq, Lebrun, Lusalusa, Peeters, Deschryver (1999).
Tuteurs en ligne : quels rôles, quelle formation? Deuxièmes Entretiens
internationaux sur l'enseignement à distance, CNED, Poitiers, France, p.
337-345.
[14] Bratitsis, T., Dimitracopoulou, A. (2006). Indicators for measuring
quality in asynchronous discussion forums, International Conference on
Cognition and Exploratory Learning in Digital Era (CELDA2006),
IADIS (International Association for Development of the Information
Society) 8-10 December, 2006, Barcelona, Spain.
[15] Russell, S., Norwig, P. (2003). Artificial Intelligence: A Modern
Approach (2nd ed.). Upper Saddle River, NJ: Prentice Hall.
[16] Maes, P. (1995). Artificial life meets entertainment: life like autonomous
agents. Communications of the ACM, vol. 38 (11), pp. 108-114.
[17] Gilbert, D., Aparicio, M., Atkinson, B., Brady, S., Ciccarino, J., Grosof,
B., O'Connor, P.,Osisek, D., Pritko, S., Spagna, R., Wilson L. (1995).
The role of intelligent agents in the information infrastructure. IBM
Report.
[18] Angélique Dimitracopoulou, Éric Bruillard « Enrichir les interfaces de
forums par la visualisation d’analyses automatiques des interactions et
du contenu » Volume 13, 2006
[19] Wooldridge, M., Jennings, N. R. (1995). Intelligent agents: theory and
practice. The knowledge engineering review, vol. 10(2), pp. 115-152
[20] Abdelhamid Zouhair, El Mokhtar En-Naimi, Patrick Person, Cyrille
Bertelle «Our System IDCBR-MAS: from the Modelisation by AUML
to the Implementation under JADE Platform» LIST Lab, The University
of Abdelmalek Essaâdi, FST of Tangier, Morocco LITIS Lab, The
University of Le Havre, France.
@article{"International Journal of Information, Control and Computer Sciences:70169", author = "Badr Hssina and Belaid Bouikhalene and Abdelkrim Merbouha", title = "Towards an E-Learning Platform Multi-Agent Based On the E-Tutoring for Collaborative Work", abstract = "This article presents our prototype MASET (Multi
Agents System for E-Tutoring Learners engaged in online
collaborative work). MASET that we propose is a system which
basically aims to help tutors in monitoring the collaborative work of
students and their various interactions. The evaluation of such
interactions by the tutor is based on the results provided by the
automatic analysis of the interaction indicators. This system is
predicated upon the middleware JADE (Java Agent Development
Framework) and e-learning Moodle platform. The MASET
environment is modeled by AUML which allows structuring the
different interactions between agents for the fulfillment and
performance of online collaborative work. This multi-agent system
has been the subject of a practical experimentation based on the
interactions data between Master Computer Engineering and System
students.", keywords = "AUML, Collaborative work, E-learning, E-tutoring,
JADE, Moodle, SMA, Web Agent.", volume = "9", number = "4", pages = "1007-5", }
