Pedagogically sustained adaptive Learning through the exploitation of tacit and explicit knowledge

LE DANTEC, BRUNO
Tel: +33-4-92385013
Fax: +33-4-92385011

GEIE ERCIM, fRANCE - COORDINATOR

EPREP, FRANCE
SUPPORT IT (UK) LIMITED, UNITED KINGDOM
UNIVERSITE DE TLEMCEN,ALGERIA
MINDONSITE - INTEGRAL COACHING SA,SWITZERLAND
UNIVERSITE DE FRIBOURG, SWITZERLAND
LANCASTER UNIVERSITY, UNITED KINGDOM
CENTRE DE RECHERCHE PUBLIC HENRI TUDOR, LUXEMBOURG
RESEARCH ACADEMIC COMPUTER TECHNOLOGY INSTITUTE, GREECE
UNIVERSITE DE LIEGE,BELGIUM
CENTRE NATIONAL DE LA RECHERCHE SCIENTIFIQUE,FRANCE
ECOLE POLYTECHNIQUE FEDERALE DE LAUSANNE,SWITZERLAND
INSTITUT NATIONAL DE RECHERCHE EN INFORMATIQUE ET EN AUTOMATIQUE,FRANCE
ASSOCIATION DE L'ENSEIGNEMENT SUPERIEUR COMMERCIAL RHONE ALPES,FRANCE

GEIE ERCIM
2004, ROUTE DES LUCIOLES SOPHIA ANTIPOLIS
FRANCE

Collaborative learning has an increased potential when it occurs in the context of a Community of Practice (CoP). Such communities have several components that distinguish them from formal organisations and learning contexts: it is recognised that they can be developed through the uses of network technologies. However, despite the rapidly increasing potential of these technologies (including web-based platforms, wireless communications, mobile devices and extensive use of multimedia contents), a lot of progress remains to be done in order to support individual learning process, as well as knowledge and identity building in them. The goal of PALETTE is to elaborate, implement and promote the use of an extensible set of interoperable services that appropriately address the needs of these communities.

The development of the PALETTE services will significantly facilitate the tasks performed by CoPs, which have to resolve specific issues and address poorly structured problems, over which a plurality of views holds. Collaborative learning is inherent in such communities, being they developed in an educational or organisational setting, in that members learn from each other by making their knowledge explicit, sharing it with their peers, and reflect on it. PALETTE will enable these communities to exploit the diverse mental models, knowledge resources, skills and competences associated with each of their members in order to create and use problem-specific knowledge through the interaction of the different sources of codified and tacit specialist knowledge. It will facilitate the creation of new knowledge, which will lead to the evolution of the associated knowledge bases