Approach to adaptive recovery of customized LO according to the type of device

The possibilities of accessing learning objects (LO) from different devices require to analyze not only the specific conditions of the user but the metadata of the educational resources stored. The type of device from which the search is made has some functional constraints concerning the way of displaying information and possible interaction. This paper deals with the proposal of an approach to a customized search mechanism taking into consideration the non-permanent conditions of the user associated to the device and in relation to the metadata that are used by some of the LO repositories (LOR). This research is focused on the exploitation of the metainformation related to the LO but not in their content. This work corresponds to an initial and crucial stage to raise a recommendation model of the LO within the framework of a LOR Federation.