Introduction of Decision Tree Technique of Data Mining to Predict Learning Disability in School- Age Students

These learning difficulties are due to genetic and/or life science factors that alter brain function in a way that affects one or more processes related to psychological characteristics of learners. These problems hinder the process of learning basic skills such as reading and writing or math, etc. Also they will additionally interfere with high- level skills such as ranking, time design, abstract design, long-term or short-term memory, and so on. It is necessary to know that learning difficulties have an influence on each person's life in addition to academics and can affect family members, friends and even the work itself. This paper aim's to put forward some data extraction tools that predict learning disability in children of school age. Decision Tree is a powerful tool that used for data classification and data mining methods. The aim is to achieve better performance and success more effectively by effectively using the technical tools of education, which will deliver a change to students, faculty and academic institutions.