The Use of NN to Detect Learning Styles of Children with Learning Disabilities in E-Learning System

摘要

Every child learns differently and possesses a dominant or preferred learning style in certain ways. The cognitive development of children with learning disabilities (LDs) is often different than that of children without LDs. However, understanding how it differs from normal child development is important to understand how learning style identification can assist children with LDs. The aim of this paper is to propose an automatic learning style detection that works by the way of children interaction with the system. In this study, an Artificial Neural Network is used to predict the learning style of children with LDs.