No abstract

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Reuse of learning objects often requires a threedimensional adaptation : content, context and display. The resulting new object must explicitly refer to the set it comes from when being inserted in a Learning Object Repository (LOR). Thus, we organize Learning objects in the LOR according to three levels (abstract, instantiation and presentation levels) that take into account those ownership sides. To guarantee a correct insertion of into the LOR, we designed a network matcher in order to integrate new learning objects into the Learning Object Repository and linking them to existing ones in the Learning Object Network. However, this organization allows only ownership definition but not its detection and protection. That's why, we show limitations of existing ways to preserve ownership (especially the digital signature) and propose some possible solutions.

No abstract

In this article we present the Lausanne Model: a learning object based reference model that: (i) considers learning issues such as granularity level, description formalism,(ii) organizes learning objects in a network where links are explicated, (iii) enhances user mobility from one environment to another and (iv) considers both individual and social adaptation.