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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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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

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Título: Assembling learning objects for personalized learning. An AI planning perspective
Autor: Garrido, Antonio Onaindia de la Rivaherrera, Eva
Entidad UPV: Universitat Politècnica de València. Departamento de Sistemas Informáticos y Computación - Departament de Sistemes Informàtics i Computació
Fecha difusión:
Resumen:
[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 ...[+]
Palabras clave: Context awarebess , Electronic learning , Intelligent systems , Java , Knowledge management , Learning systems , Applications and expert knowledge-intensive systems , E-learning , Education , Personalized learning , Planning
Derechos de uso: Reserva de todos los derechos
Fuente:
IEEE Intelligent Systems. (issn: 1541-1672 )
DOI: 10.1109/MIS.2011.36
Editorial:
Institute of Electrical and Electronics Engineers (IEEE)
Versión del editor: http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=5749995
Código del Proyecto:
info:eu-repo/grantAgreement/MICINN//TIN2008-06701-C03-01/ES/PLANNING, EXECUTION AND LEARNING ARCHITECTURE/
info:eu-repo/grantAgreement/MEC//CSD2007-00022/ES/Agreement Technologies/
info:eu-repo/grantAgreement/Generalitat Valenciana//PROMETEO08%2F2008%2F051/ES/Advances on Agreement Technologies for Computational Entities (atforce)/
Descripción: © 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.
Agradecimientos:
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.
Tipo: Artículo

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