Early Diagnosing and Identifying Tool for Specific Learning Disability using Decision Tree algorithm
A. Devi, G. Kavya, M. Julie Therese, R. Gayathri
Abstract
A learning impairment is a specific learning disability (neurodevelopmental disorder) and it may affect child's cognitive skills, text comprehension, reading-writing and also problem-solving abilities. These impairments mainly affect academic performance of the students specifically reading problems (dyslexia), writing problems (dysgraphia) and difficulty in mathematical problems (dyscalculia), so that the disabilities are called Specific Learning Disabilities (SLD). These students need to be identified an earlier stage, and by giving appropriate assistance, they can get adequate experience on a certain part and develop their disability skills. To diagnose and identify the SLD, the testing scale tool has been proposed. The proposed tool allows the student who suspected to have SLD to take up Quiz. Some specific test questions are repeated thrice based on the type of learning impairments. After completion of the test, resultant data is provided as input to the decision tree algorithm. Based on the student marks and time taken by children, the decision tree algorithm predicts learning disabilities children. The proposed tool is used to develop an integrated and user-friendly tool that is highly accurate in identifying reading, writing and mathematical disorders, and suggest the right way and most appropriate instructional activities to parents and teachers.