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2013 Volume 28
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RESEARCH ARTICLE   Open Access    

On the automatic compilation of e-learning models to planning

  • 1.

    Departamento de Sistemas Informáticos y Computación

  • 2.

    Departamento de Informática

  • 3.

    Departamento de Ciencias de la Computación e I.A.

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  • Abstract: 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 idea is to compile, first, a course defined in a standard e-learning language into a planning domain, and, second, a file containing students learning information into a planning problem. We provide a common compilation and extend it to three particular approaches that cover a full spectrum of planning paradigms, which increases the possibilities of using current planners: (i) hierarchical, (ii) including PDDL (Planning Domain Definition Language) actions with conditional effects and (iii) including PDDL durative actions. The learning designs are automatically generated from the plans and can be uploaded, and subsequently executed, by learning management platforms. We also provide an extensive analysis of the e-learning metadata specification required for planning, and the pros and cons on the knowledge engineering procedures used in each of the three compilations. Finally, we include some qualitative and quantitative experimentation of the compilations in several domain-independent planners to measure its scalability and applicability.
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  • Cite this article

    Antonio Garrido, Susana Fernández, Lluvia Morales, Eva Onaindía, Daniel Borrajo, Luis Castillo. 2013. On the automatic compilation of e-learning models to planning. The Knowledge Engineering Review 28(2)121−136, doi: 10.1017/S0269888912000380
    Antonio Garrido, Susana Fernández, Lluvia Morales, Eva Onaindía, Daniel Borrajo, Luis Castillo. 2013. On the automatic compilation of e-learning models to planning. The Knowledge Engineering Review 28(2)121−136, doi: 10.1017/S0269888912000380
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RESEARCH ARTICLE   Open Access    

On the automatic compilation of e-learning models to planning

  • 1.

    Departamento de Sistemas Informáticos y Computación

  • 2.

    Departamento de Informática

  • 3.

    Departamento de Ciencias de la Computación e I.A.

  • Published online: 08 February 2013
The Knowledge Engineering Review  28,  2013, 28(2): 121−136  |  Cite this article

Abstract: Abstract: 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 idea is to compile, first, a course defined in a standard e-learning language into a planning domain, and, second, a file containing students learning information into a planning problem. We provide a common compilation and extend it to three particular approaches that cover a full spectrum of planning paradigms, which increases the possibilities of using current planners: (i) hierarchical, (ii) including PDDL (Planning Domain Definition Language) actions with conditional effects and (iii) including PDDL durative actions. The learning designs are automatically generated from the plans and can be uploaded, and subsequently executed, by learning management platforms. We also provide an extensive analysis of the e-learning metadata specification required for planning, and the pros and cons on the knowledge engineering procedures used in each of the three compilations. Finally, we include some qualitative and quantitative experimentation of the compilations in several domain-independent planners to measure its scalability and applicability.

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    Acknowledgments

    • This work has been supported by the Spanish MICINN under projects TIN2008-06701-C03 and Consolider Ingenio 2010 CSD2007-00022, by the Mexican National Council of Science and Technology and the regional projects CCG08-UC3M/TIC-4141 and Prometeo GVA 2008/051.

    • Felder learning styles comprise four dimensions: perception (sensitive/intuitive), processing (active/reflective), input (visual/verbal) and understanding (sequential/global).

    • This learning styles theory considers four styles that can be parallelized; for instance pragmatic/active and reflexive/theoretical can be taken as two styles.

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    Cite this article
    Antonio Garrido, Susana Fernández, Lluvia Morales, Eva Onaindía, Daniel Borrajo, Luis Castillo. 2013. On the automatic compilation of e-learning models to planning. The Knowledge Engineering Review 28(2)121−136, doi: 10.1017/S0269888912000380
    Antonio Garrido, Susana Fernández, Lluvia Morales, Eva Onaindía, Daniel Borrajo, Luis Castillo. 2013. On the automatic compilation of e-learning models to planning. The Knowledge Engineering Review 28(2)121−136, doi: 10.1017/S0269888912000380
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