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dc.contributor.authorRodríguez Marín, Paula
dc.contributor.authorDuque Méndez, Nestor D.
dc.contributor.authorRodríguez González, Sara 
dc.date.accessioned2017-09-06T09:17:07Z
dc.date.available2017-09-06T09:17:07Z
dc.date.issued2013
dc.identifier.citationAdvances in Intelligent Systems and Computing Management Intelligent Systems. Advances in Intelligent Systems and Computing. Volumen 220, pp. 127-134.
dc.identifier.isbn978-3-319-00568-3 (Print) / 978-3-319-00569-0 (Online)
dc.identifier.issn2194-5357 (Print) / 2194-5365 (Online)
dc.identifier.urihttp://hdl.handle.net/10366/135157
dc.description.abstractCurrently, 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.
dc.format.mimetypeapplication/pdf
dc.language.isoen
dc.publisherSpringer Science + Business Media
dc.subjectComputer Science
dc.titleIntegral Multi-agent Model Recommendation of Learning Objects, for Students and Teachers
dc.typeinfo:eu-repo/semantics/conferenceObject
dc.rights.accessRightsinfo:eu-repo/semantics/openAccess


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