Detecting specific learning disabilities
R Akhil, Athul Soori, D. Ravi Shankar, Maya Krishnan, B. Poorna · 2017
A child needs education to mold how it sees and learns the world. We have to cater their needs and help them learn, but 1 in 10 children suffer from a learning disability and 1 in 20 people are affected all over the world. Children suffering from a learning disability might face difficulties with reading, writing or mathematics but they excel in other areas of interests. It is in the interest of the society and especially the parents to identify the problem early in the development of the child and steer him/her towards a preferred field. The lack of proper detection and assistance in the earlier stages of development of the child will pertain to him/her being in a constant state of distress and mentally vulnerable. They might lose their sense of self worth and blame themselves for their situation. The model being proposed is a Web-based tool incorporating machine learning techniques (Decision trees) for predicting whether children (8–10 years) are at a risk of having Specific Learning Disability by showing the areas of learning disability on the basis of the clinical information and research.