2026-09-15T18:21:39Zhttps://gredos.usal.es/oai/request

oai:gredos.usal.es:10366/1351572025-04-30T20:38:32Zcom_10366_122575com_10366_4512com_10366_3823col_10366_134811

Rodríguez Marín, Paula Duque Méndez, Nestor D. Rodríguez González, Sara 2017-09-06T09:17:07Z 2017-09-06T09:17:07Z 2013 Advances in Intelligent Systems and Computing Management Intelligent Systems. Advances in Intelligent Systems and Computing. Volumen 220, pp. 127-134. 978-3-319-00568-3 (Print) / 978-3-319-00569-0 (Online) 2194-5357 (Print) / 2194-5365 (Online) http://hdl.handle.net/10366/135157 Currently, there has been progress in building models for search and retrieval of learning objects (LO) stored in heterogeneous repositories. Likewise, research has increased the recycling of educational materials. This paper proposes the integration of two multi-agent models focused on delivering, specific LO adapted to a student’s profile; and delivering LO to teachers in order to assist them in creating courses. The objective is to have an integral multi-agent model that meets the needs of students and teachers, and in this way improve the teaching learning process. application/pdf en Springer Science + Business Media Computer Science Integral Multi-agent Model Recommendation of Learning Objects, for Students and Teachers info:eu-repo/semantics/conferenceObject info:eu-repo/semantics/openAccess