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A Framework for Collaborative-Learning Systems Based on Agent Technologies
Existing distance learning systems provide collaboration tools (like forum, chat, wiki, etc.) presenting some limits that reduce the effectiveness of such tools from the standpoint of collaborative learning. Accordingly, a conceptual framework is needed that bridges the gap between the interaction forms characterising collaborative learning and existing learning collaboration tools. In this context, Multi-Agent System (MAS) seems to be a suitable paradigm to engineer such systems as it promotes effective collaboration. This paper shows how the Agents and Artefacts (A&A) meta-model for MAS could be exploited to build a conceptual framework for collaborative learning systems
Agent-Based Collaboration Systems: A Case Study (paper in proceedings, 2008) — Elena Nardini, Andrea Omicini
RESET — Social Networks and Promotion of Knowledge Construction through E-Learning Tools (15/10/2006–15/10/2008)
