Toward an agent-based platform for learning objects management

The current paper proposes a platform for learning objects management, based on the paradigm of intelligent agents. Such platform offers a personalization of the information based on user's behavior, an intelligent search capability for seeking some information between the objects and their ramifications, as well as the current state of the resources that compose to a certain object. This will allow the identification of the right objects to create suitable educative courses. The main contributions of the paper are: in first place, the proposal of integrating the technology of intelligent agents to a platform of learning objects, which makes more easy and precise the search of objects in several repositories located, mainly, in geographically distributed places; Second of all, the improvement of a technological tool which supports the process of education, through a scheme of distance education, utilized by the University of Colima; Finally, we intend to promote the adaptation of these educative schemes to the new technological advances, brought by Computer Science and Telecommunications in last years.