Vietnam Develops Groundbreaking Eye Movement Tracking Technology for Dyslexia Screening, Diagnosis and Intervention in Schools

A team of researchers at the University of Technology, Hanoi National University is working on developing the first eye movement tracking technology in Vietnam. The technology is specifically designed to support screening, diagnosis, and intervention for children with dyslexia. Dyslexia is a syndrome that affects 5-10% of school-age children and can cause difficulty connecting spoken and written language. It’s estimated that tens of thousands of students in Vietnam may be suffering from dyslexia without it being detected.

Children with dyslexia often struggle with their learning process and daily lives. The eye movement tracking technology being developed by the research team is capable of screening large numbers of children, helping experts make accurate diagnoses and classify the type of dyslexia each child is experiencing. This technology allows teachers and parents to receive effective early intervention measures to help children with dyslexia improve their reading abilities and overall development.

While eye movement tracking technology has been used in studies around the world to detect dyslexia, the team at the University of Technology in Vietnam has developed a system specifically tailored to Vietnamese children with dyslexia. The system includes simple software and hardware components such as an eye movement tracking device connected to a laptop, which allows for monitoring and recording a child’s eye movements during tests on a computer providing valuable data for diagnosis and intervention.

Dr. Nguyen Thi Cam Huong, an expert in dyslexia in children, has praised the technology developed by the research team for its potential in screening, diagnosis, and early intervention for children with dyslexia in Vietnam. She notes that on average, every classroom in Vietnam has at least one child with dyslexia highlighting the importance of early detection and intervention. Eye movement characteristics can provide crucial information for accurate diagnosis and tailored intervention strategies for each child.

The ultimate goal of the research team is to create an application that can be used by teachers and parents to provide personalized interventions for children with dyslexia based on data collected through eye movement tracking technology . By utilizing this data-driven approach to intervention, this application aims to improve reading abilities and overall development for children with dyslexia ultimately leading to better outcomes in education