Post by Indian Institute of Technology, Madras

What if learning gaps could be identified before they show up on a report card? As reported by Times of India, researchers at Indian Institute of Technology, Madras have developed a Virtual Reality (VR) and Artificial Intelligence (AI)-based system that can identify whether an 11 or 12-year-old child may need academic support—potentially weeks or months earlier than conventional assessments. Published in Child Neuropsychology, the study involved 120 school students who completed a series of short VR-based tasks, including mathematics, word-building, clock-reading, and counting exercises. Beyond simply checking right or wrong answers, the system analysed behavioural cues such as response time, number of attempts and error patterns using machine learning models. Using teacher assessments as the benchmark, the best-performing Random Forest model predicted academic performance categories with 95% accuracy. Developed by research scholar Mridula T V and Prof. M. Manivannan from the Department of Applied Mechanics and Biomedical Engineering, the system is designed to be frugal and scalable. The long-term vision is to enable earlier identification of learning difficulties, helping schools provide timely academic support where it is needed most. Read Here: https://lnkd.in/gfaB8VxG  #IITMadras #AI #VirtualReality #EdTech #MachineLearning #AIInEducation