Towards the Adaptation of Scientific Course Material powered by Communities of Practice

Abstract

Several applications support the adaptation of course material. Even though most of these systems allow to specify interaction preferences or even employ user modeling techniques, every system is an island with this respect. In particular, different systems cannot share user models or predict preferences in the absence of prior interactions. We use ideas from the theory of Communities of Practice to consolidate user models and to extend current approaches towards a CoP-sensitive adaptation.