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
Link To Document :
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