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Designing a Knowledge Representation Tool for Subject Matter Structuring

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Graph Structures for Knowledge Representation and Reasoning (GKR 2015)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 9501))

Abstract

Relying on pedagogical theories of subject matter structuring and presentation, this paper focuses on the design of a knowledge representation tool for the scheming and organization of educational materials. The idea originates from the Educational Concept Maps model - logical and abstract annotation system, developed with the aim of guaranteeing the reusability of both teaching materials and knowledge structures; in fact, the knowledge structure could be reused for design of different courses according to the learner target. A sequence of concepts characterizing the subject matter under design (lesson or entire course) define a teaching/learning path through the map. It represents the output of the design process of lesson plan, which could be imported in a text-editor, in a LCMS, or presented as web pages. The final goal is to develop a tool assisting the teacher in the daily design of lesson plans via a pliable structured model of domain knowledge.

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Author information

Authors and Affiliations

  1. University of Genoa, Genova, Italy

    Giovanni Adorni & Frosina Koceva

Authors
  1. Giovanni Adorni
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  2. Frosina Koceva
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Corresponding authors

Correspondence to Giovanni Adorni or Frosina Koceva .

Editor information

Editors and Affiliations

  1. LIRMM, Montpellier Cedex 5, France

    Madalina Croitoru

  2. CRIL-CNRS, Lens, France

    Pierre Marquis

  3. Fakultät Informatik, Technische Universität Dresden, Dresden, Sachsen, Germany

    Sebastian Rudolph

  4. University of Brighton, Brighton, United Kingdom

    Gem Stapleton

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Adorni, G., Koceva, F. (2015). Designing a Knowledge Representation Tool for Subject Matter Structuring. In: Croitoru, M., Marquis, P., Rudolph, S., Stapleton, G. (eds) Graph Structures for Knowledge Representation and Reasoning. GKR 2015. Lecture Notes in Computer Science(), vol 9501. Springer, Cham. https://doi.org/10.1007/978-3-319-28702-7_1

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  • DOI: https://doi.org/10.1007/978-3-319-28702-7_1

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-28701-0

  • Online ISBN: 978-3-319-28702-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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