New Technology Developed by Vietnamese Scientist Helps Identify Dyslexia in Children

A research team at the University of Technology, Hanoi National University is working on developing the first eye movement tracking technology in Vietnam. This technology is designed to support screening, diagnosis, and intervention for children with dyslexia. Dyslexia is a syndrome caused by a congenital neurological disorder that affects 5-10% of school-age children. It is estimated that tens of thousands of students in Vietnam may be suffering from dyslexia without it being detected.

Children with dyslexia often have difficulty connecting spoken and written language, impacting 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, assisting experts in making accurate diagnoses and classifying the type of dyslexia each child is experiencing. Through the use of this technology, teachers and parents can receive effective early intervention measures to help children with dyslexia.

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. This system includes simple software and hardware components, such as an eye movement tracking device connected to a laptop. This technology allows for the monitoring and recording of 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. By utilizing the data collected through eye movement tracking, this application can support children in understanding and processing text in a way that suits their individual needs. This personalized approach to intervention aims to improve reading abilities and overall development for children with dyslexia.