Using Drawings in Knowledge Modeling and Simulation for Science Teaching

Wouter R. van Joolingen, Lars Bollen, Frank A.J. Leenaars

    Research output: Chapter in Book/Report/Conference proceedingChapterAcademicpeer-review

    6 Citations (Scopus)
    16 Downloads (Pure)

    Abstract

    Modeling knowledge in simulation-based inquiry learning requires a model of the domain that is executable, as well as a model of the learners’ knowledge about the domain. An intermediate level is formed by models of the domain that are created by students as is done in modeling environments. An approach is presented for generating student created models from drawings. This approach requires drawing segmentation, shape recognition and model generation, which is done based on density-based clustering, elementary shape recognition combined with a shape ontology and model fragment composition respectively. The final result is an executable model that can be used to generate simulation outcomes based on learners’ conceptions. The role of such a system is discussed, especially with respect to the diagnosis of misconceptions and the generation of tutoring interventions based on confronting learners with the consequences of their conceptions.
    Original languageEnglish
    Title of host publicationAdvances in Intelligent Tutoring Systems
    EditorsRoger Nkambou, Jacqueline Bourdeau, Riichiro Mizoguchi
    Place of PublicationBerlin, Heidelberg
    PublisherSpringer
    Pages249–264
    ISBN (Electronic)978-3-642-14363-2
    ISBN (Print)978-3-642-14362-5, 978-3-642-26452-8
    DOIs
    Publication statusPublished - 2010

    Publication series

    NameStudies in Computational Intelligence
    PublisherSpringer
    Volume308
    ISSN (Print)1860-949X
    ISSN (Electronic)1860-9503

    Keywords

    • n/a OA procedure

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