Artificial Intelligence Empowered Digital Learning for Children with Specific Learning Disabilities

Abstract

Specific Learning Disabilities (SLDs) conditions manifest as a deficit in processing language, spoken or written, that may manifest itself as a difficulty to comprehend, speak, read, write, spell, or to do mathematical calculations and includes such conditions as perceptual disabilities, dyslexia, dysgraphia, dyscalculia, dyspraxia and developmental aphasia. The cognitive flexibility associated with SLDs can manifest itself in noteworthy talents, which include a multi-sensory lens for creative and lateral thinking, resulting in out-of-the-box solutions for problems. The untapped potential of SLDs cause high opportunity cost for the Nation’s progress. However, children with SLDs experience repeated failures and poor performance despite their continuous efforts and practise in learning. At the same time, worldwide, the condition wil SLDs has been exacerbated due to COVID-19 pandemic when education delivery shifted online. Thus, strengthening online education delivery will be important and impacting. However, research has indicated that educators might not always be aware of their students’ attentional focus, and this may be particularly true for novice teachers. The aim of this project is to develop an AI empowered tool that will offer personalized, monitored and evidence-based identification of attention level among children with SLD.

Team Members:

Harshit Chauhan, Yash Vats, Aman Kumar Gupta, Bhavey Wadhwa