• DocumentCode
    3139318
  • Title

    A Framework for Automated Diagram Assessment in Online Learning

  • Author

    Fan, Sandra B. ; Tanimoto, Steven L.

  • Author_Institution
    Univ. of Washington, Seattle
  • fYear
    2007
  • fDate
    18-20 July 2007
  • Firstpage
    51
  • Lastpage
    53
  • Abstract
    This paper explores how to incorporate the expressiveness and learning benefits of diagrams with the computing power and scalability available in online learning. As a first step toward a framework for automated assessment of student diagrams in online learning environments, we propose a new feature for the INF ACT system\´s Sketch Tool. This "Blobs, Links and Labels" (BLL) feature eliminates ambiguity in diagrams by imposing a flexible, graph- inspired structure to the diagrams. Specifying assessment will be done in the style of programming- by-demonstration, where the instructor uses the system to provide examples of correct or incorrect student diagrams, which are then used by the assessment tool. In designing the BLL feature, we aim to strike a balance between diagrams\´ expressive power versus ease of use and ease of automated assessment.
  • Keywords
    computer aided instruction; teaching; automated diagram assessment; blobs-links-labels feature; online learning; programming-by-demonstration; sketch tool; teaching; Automatic programming; Chemicals; Circuits; Computer science; Education; Power engineering and energy; Power engineering computing; Programming profession; Scalability; Shape;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Learning Technologies, 2007. ICALT 2007. Seventh IEEE International Conference on
  • Conference_Location
    Niigata
  • Print_ISBN
    0-7695-2916-X
  • Type

    conf

  • DOI
    10.1109/ICALT.2007.11
  • Filename
    4280947