A Fuzzy System for Educational Tasks for Children with Reading and Writing Disabilities

  • Adalberto Bosco C. Pereira
  • Gilberto Nerino de SouzaJr.
  • Dionne C. Monteiro
  • Leonardo B. Marques
Conference paper
Part of the Smart Innovation, Systems and Technologies book series (SIST, volume 23)

Abstract

This paper proposes a computational approach that aims the use of Artificial Intelligence in Education (AIED) to aid teachers, psychologists and educationalists in the learning process of reading. This approach aims at generating teaching tasks which can be accordingly adapted to the individual needs of each student. While the tasks are being executed, a Machine Learning (ML) system will collect and process data to allow an analysis of the student’s learning process for each individual word in reading and writing abilities. The fuzzy system will propose an appropriate task based on the data collected by the ML. The output of the fuzzy system is an adapted task that will motivate the children in execution of the tasks.

Keywords

Artificial intelligence Fuzzy Machine Learning AIED Teaching tasks 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Adalberto Bosco C. Pereira
    • 1
  • Gilberto Nerino de SouzaJr.
    • 1
  • Dionne C. Monteiro
    • 1
  • Leonardo B. Marques
    • 2
  1. 1.Laboratory of Applied Artificial IntelligenceInstitute of Exact and Natural Sciences—Federal University of ParaParaBrazil
  2. 2.Laboratory for the Study of Human BehaviorFederal University of So CarlosSo CarlosBrazil

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