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Assembling learning objects for personalized learning. An AI planning perspective

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Assembling learning objects for personalized learning. An AI planning perspective

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dc.contributor.author Garrido, Antonio es_ES
dc.contributor.author Onaindia de la Rivaherrera, Eva es_ES
dc.date.accessioned 2014-06-13T09:24:51Z
dc.date.issued 2013-04
dc.identifier.issn 1541-1672
dc.identifier.uri http://hdl.handle.net/10251/38112
dc.description © 2013 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. es_ES
dc.description.abstract [EN] The aim of educational systems is to assemble learning objects on a set of topics tailored to the goals and individual students' styles. Given the amount of available Learning Objects, the challenge of e-learning is to select the proper objects, define their relationships, and adapt their sequencing to the specific needs, objectives, and background of the student. This article describes the general requirements for course adaptation, the full potential of applying planning techniques on the construction of personalized e-learning routes, and how to accommodate the temporal and resource constraints to make the course applicable in a real scenario. es_ES
dc.description.sponsorship This work has been partially supported by the Spanish Ministerio de Ciencia e Innovacion (MICINN) under projects TIN2008-06701-C03-01, Consolider Ingenio 2010 CSD2007-00022, and the Valencian Prometeo project 2008/051.
dc.format.extent 10 es_ES
dc.language Inglés es_ES
dc.publisher Institute of Electrical and Electronics Engineers (IEEE) es_ES
dc.relation.ispartof IEEE Intelligent Systems es_ES
dc.rights Reserva de todos los derechos es_ES
dc.subject Context awarebess es_ES
dc.subject Electronic learning es_ES
dc.subject Intelligent systems es_ES
dc.subject Java es_ES
dc.subject Knowledge management es_ES
dc.subject Learning systems es_ES
dc.subject Applications and expert knowledge-intensive systems es_ES
dc.subject E-learning es_ES
dc.subject Education es_ES
dc.subject Personalized learning es_ES
dc.subject Planning es_ES
dc.subject.classification LENGUAJES Y SISTEMAS INFORMATICOS es_ES
dc.title Assembling learning objects for personalized learning. An AI planning perspective es_ES
dc.type Artículo es_ES
dc.embargo.lift 10000-01-01
dc.embargo.terms forever es_ES
dc.identifier.doi 10.1109/MIS.2011.36
dc.relation.projectID info:eu-repo/grantAgreement/MICINN//TIN2008-06701-C03-01/ES/PLANNING, EXECUTION AND LEARNING ARCHITECTURE/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/MEC//CSD2007-00022/ES/Agreement Technologies/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/Generalitat Valenciana//PROMETEO08%2F2008%2F051/ES/Advances on Agreement Technologies for Computational Entities (atforce)/ es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Sistemas Informáticos y Computación - Departament de Sistemes Informàtics i Computació es_ES
dc.description.bibliographicCitation Garrido, A.; Onaindia De La Rivaherrera, E. (2013). Assembling learning objects for personalized learning. An AI planning perspective. IEEE Intelligent Systems. 28(2):64-73. https://doi.org/10.1109/MIS.2011.36 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=5749995 es_ES
dc.description.upvformatpinicio 64 es_ES
dc.description.upvformatpfin 73 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 28 es_ES
dc.description.issue 2 es_ES
dc.relation.senia 193233
dc.contributor.funder Ministerio de Ciencia e Innovación
dc.contributor.funder Generalitat Valenciana
dc.contributor.funder Ministerio de Educación y Ciencia es_ES


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