A Meta-model to Acquire Relevant Knowledge for Interactive Learning Environments Personalization
Marie Lefèvre, Alain Mille, Stéphanie Jean-Daubias, Nathalie Guin · 2009
Outsourced personalization of interactive learning environments (ILE) requires knowledge on these ILEs: their teaching description (type of activities, parameters for exercises generation, etc.) and their technical description (files location, content of configuration files, etc.). To make possible to support this personalization, we propose a meta-model to acquire, in interaction with an expert, relevant knowledge necessary to personalize an ILE. We combine this meta-model with two processes: the first one uses the meta-model in order to create a specific model to an ILE, and the second uses this model to personalize the ILE.