Experimental studies concerning distance and blended learning have shown that forms of interaction, like those key for collaborative learning, lead to desirable cognitive activities. However, existing distance and blended 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.
A conceptual framework for collaborative learning systems based on agent technologies / Elena Nardini; Matteo Casadei; Andrea Omicini; Pietro Gaffuri. - ELETTRONICO. - (2008). (Intervento presentato al convegno 2008 International Conference on the Interactive Computer Aided Learning (ICL 2008) tenutosi a Villach, Austria nel 24-26 September 2008).
A conceptual framework for collaborative learning systems based on agent technologies
NARDINI, ELENA;CASADEI, MATTEO;OMICINI, ANDREA;GAFFURI, PIETRO
2008
Abstract
Experimental studies concerning distance and blended learning have shown that forms of interaction, like those key for collaborative learning, lead to desirable cognitive activities. However, existing distance and blended 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.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.