Knowledge Based Analytical Tool for Identifying Children with Dyscalculia

Specific Learning Disability is a learning difficulty that has an impact on reading (Dyslexia), mathematical calculations (Dyscalculia), and drawing skill (Dysgraphia), among children. Out of these learning disabilities, the mathematical disability is a major problem for children to do minor calculations like counting numbers, remembering phone numbers and problem in understanding speed, time, distance etc., which also affects their regular academic activities. Dyscalculia is a condition that lacks numerical skill needed for an individual that arises due to heredity or sometimes the brain development itself. Mostly children’s who are affected with dyscalculia seem to be good in other learning areas. Due to the lack of identification and assessment, these children severely affected when they are entering into higher grades. This may weaken their mental health condition and make them feel left out and low in confidence. Hence a knowledge-based tool is proposed to identify mathematical difficulties using machine learning decision tree algorithm. The entire proposed model is divided into two sections (i) Knowledge-based tool creation for dataset collection (ii) Decision tree classification. The main aim of this research work is to diagnose and detect the dyscalculia problem in the children at the earlier stage itself.