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

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.