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Mining Interaction Patterns of Children with and without Communication Disorders in the use of Tablets Apps.

Authors :
Ortin, Francisco
Pérez-Pérez, Juan Ramón
Cabielles-Hernández, David
Sánchez-Santillán, Miguel
Paule-Ruiz, MPuerto
Source :
Central European Conference on Information & Intelligent Systems; 2022, p223-232, 10p
Publication Year :
2022

Abstract

A communication disorder (CD) is an impairment in the ability to receive, send, process, and comprehend concepts or verbal, nonverbal, and graphic symbol systems. Different research works pursue the early detection of communication disorders, because its treatment at early ages shows significant benefits. In a previous study, we developed two applications for tablet devices that help children in the process of learning the sounds and writing of letters and words. Using the Montessori educational method, our applications showed important benefits, for both children with and without communication disorders, in the learning process of letters, words, and their corresponding sounds. In this article, we use the interaction information produced by our applications in the learning sessions. The purpose of our research is to see if there exist particular interaction patterns of children with and without communication disorders, for the two given applications. We use different data mining techniques and algorithms to process the interaction data generated by 353 children through at least nine sessions. There exist statistically significant differences in 7 of the 36 interaction variables measured. For some sessions of both applications, children with CD made more mistakes than those without CD. The only significant interaction pattern retrieved from the data is that the children with the 12% lowest number of taps over letters (3 taps at most) have CD, fulfilled by 28.1% of the children with CD that used one of our applications. This group of children might be representing children with receptive language disorders. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
18472001
Database :
Complementary Index
Journal :
Central European Conference on Information & Intelligent Systems
Publication Type :
Conference
Accession number :
161650722