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Title:      A MULTI-AGENT ARCHITECTURE FOR GROUP LEARNING
Author(s):      Eliane Pozzebon , Janette Cardoso , Guilherme Bittencourt , Chihab Hanachi
ISBN:      972-8924-16-X
Editors:      Pedro IsaĆ­as, Maggie McPherson and Frank Bannister
Year:      2006
Edition:      1
Keywords:      Learning in Group, Collaborative Learning, Ontologies, Intelligent Tutoring Systems, Multi-agents Systems.
Type:      Full Paper
First Page:      60
Last Page:      67
Language:      English
Cover:      cover          
Full Contents:      click to dowload Download
Paper Abstract:      In this paper we propose a group management specification and execution method that seeks a compromise between simple course design and complex adaptive group interaction. This is achieved through an authoring method that proposes to the author predefined scenarios that already includes complex learning interaction protocols and in which student and group models use and update are automatically included. The method adopts ontologies to represent domain, student and interaction models and object Petri nets to specify the group interaction protocols. Dirung execution, the method is supported by a multi-agent architecture.
   

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