• DocumentCode
    2087642
  • Title

    Glosser: Enhanced Feedback for Student Writing Tasks

  • Author

    Villalon, Jose ; Kearney, Paul ; Calvo, Rafael A. ; Reimann, Peter

  • Author_Institution
    Sch. of Elec. & Inf. Eng, Univ. of Sydney, Sydney, NSW
  • fYear
    2008
  • fDate
    1-5 July 2008
  • Firstpage
    454
  • Lastpage
    458
  • Abstract
    We describe Glosser, a system that supports students in writing essays by 1) scaffolding their reflection with trigger questions, and 2) using text mining techniques to provide content clues that can help answer those questions. A comparison with other computer generated feedback and scorings systems is provided to explain the novelty of the approach. We evaluate the system with Wiki pages produced by postgraduate students as part of their assessment.
  • Keywords
    computer aided instruction; data mining; Glosser; computer generated feedback; student writing tasks; text mining technique; Computer science education; Costs; Feedback; Process design; Reflection; Software tools; Taxonomy; Technical drawing; Text mining; Writing; latent semantic analysis; reflection; student feedback; text mining;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Learning Technologies, 2008. ICALT '08. Eighth IEEE International Conference on
  • Conference_Location
    Santander, Cantabria
  • Print_ISBN
    978-0-7695-3167-0
  • Type

    conf

  • DOI
    10.1109/ICALT.2008.78
  • Filename
    4561736