• DocumentCode
    226785
  • Title

    Supervising classrooms comprising children with dyslexia and other learning problems with graphical exploratory analysis for fuzzy data: Presentation of the software tool and case study

  • Author

    Palacios, Ana Maria ; Sanchez, L.

  • Author_Institution
    Dept. of Comput. Sci. & Artificial Intell., Univ. of Granada, Granada, Spain
  • fYear
    2014
  • fDate
    6-11 July 2014
  • Firstpage
    2133
  • Lastpage
    2140
  • Abstract
    A case study Is presented where a classroom comprising children with dyslexia and other learning problems is monitored with a proprietary software tool. This tool implements graphical exploratory analysis for fuzzy data, has classification and prediction capabilities, and outputs a compared visualization of the results of the tests applied to the children in the classroom and their expected evolution in the near future. The software also helps to detect different groups in the class, and could recommend professional treatment in case that some indicators were deemed abnormal. Data can be introduced without the help of a pshychologist thus visualization and diagnostic tasks can be performed by parents and teachers on their own.
  • Keywords
    computer aided instruction; data mining; data visualisation; fuzzy set theory; pattern classification; professional aspects; children; classification capability; classroom supervising; data mining; dyslexia; fuzzy data; graphical exploratory analysis; learning problems; prediction capability; professional treatment; proprietary software tool; visualization algorithm; Data Mining; Dyslexia; Low Quality Data; Visualization Algorithms;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Systems (FUZZ-IEEE), 2014 IEEE International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4799-2073-0
  • Type

    conf

  • DOI
    10.1109/FUZZ-IEEE.2014.6891710
  • Filename
    6891710