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Browsing by Author "Morales, Lluvia"

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Browsing by Author "Morales, Lluvia"

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    E-Learning and Intelligent Planning: Improving Content Personalization 
    Garrido, Antonio; Morales, Lluvia (Institute of Electrical and Electronics Engineers (IEEE), 2014-02)
    Combining learning objects is a challenging topic because of its direct application to curriculum generation, tailored to the students' profiles and preferences. Intelligent planning allows us to adapt learning routes ...
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    E-learning y Planificación Inteligente: Mejorando la Personalización de Contenidos 
    Garrido Tejero, Antonio; Morales, Lluvia (Institute of Electrical and Electronics Engineers (IEEE), 2012)
    [EN] ¿ Combining learning objects is a challenging topic because of its direct application to curriculum generation, tailored to the students' profiles and preferences. Intelligent planning allows us to adapt learning ...
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    On the automatic compilation of e-learning models to planning 
    Garrido Tejero, Antonio; Fernandez, Susana; Onaindia de la Rivaherrera, Eva; Morales, Lluvia; Borrajo, Daniel; Castillo, Luis (Cambridge University Press (CUP), 2013-06)
    [EN] This paper presents a general approach to automatically compile e-learning models to planning, allowing us to easily generate plans, in the form of learning designs, by using existing domain-independent planners. The ...
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    On the Necessity of Time and Resource Issues to Support Collaboration in E-learning Standards 
    Garrido Tejero, Antonio; Morales, Lluvia; Serina, Ivan (IEEE Computer Society, 2011-10)
    In this paper we motivate the necessity of time+resource metadata in current e-learning standards to support collaborative activities. Learning Objects (LOs) are currently defined in a very independent way from each ...
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    On the use of case-based planning for e-learning personalization 
    Garrido Tejero, Antonio; Morales, Lluvia; Serina, Iván (Elsevier, 2016-10-30)
    In this paper we propose myPTutor, a general and effective approach which uses AI planning techniques to create fully tailored learning routes, as sequences of Learning Objects (LOs) that fit the pedagogical and students’ ...