• DocumentCode
    2221064
  • Title

    Confident assessment of children´s handwritten responses

  • Author

    Allan, Jonathan ; Allen, Tony ; Sherkat, Nasser

  • Author_Institution
    Dept. of Comput., Nottingham Trent Univ., UK
  • fYear
    2002
  • fDate
    2002
  • Firstpage
    508
  • Lastpage
    512
  • Abstract
    This paper introduces a novel approach for the automatic assessment of children´s responses to standardised English exam questions. The constrained nature of the question and answer medium is exploited to produce an automatic assessment mechanism that is both highly accurate and produces a reasonable level of response yield. It is shown that the novel approach can achieve 100% scoring accuracy on 44% of all responses compared to a traditional lexical approach that has an error rate of 41%. When a thresholding method, similar to that used in the novel approach is applied, the traditional approach can achieve an accuracy of 100% but with a response yield of only 5%. The approach introduced in this paper is thus shown to have a significant advantage over the traditional lexical based assessment.
  • Keywords
    handwritten character recognition; children´s handwritten examination responses; confident assessment; standardised English examination questions; Aging; Automatic testing; Conferences; Error analysis; Handwriting recognition; Iris; Maintenance; Publishing; Shape; Writing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Frontiers in Handwriting Recognition, 2002. Proceedings. Eighth International Workshop on
  • Print_ISBN
    0-7695-1692-0
  • Type

    conf

  • DOI
    10.1109/IWFHR.2002.1030961
  • Filename
    1030961