A groundbreaking eye movement tracking technology is being developed at the University of Technology, Hanoi National University to support screening, diagnosis, and intervention for children with dyslexia in Vietnam. Dr. Ngo Thi Duyen from the Faculty of Information Technology is leading the research team. Dyslexia, a congenital neurological disorder that affects 5-10% of school-age children, has not been detected in tens of thousands of students in Vietnam.
Children with dyslexia often struggle to connect spoken and written language, which can impact their learning process and overall life. The first-of-its-kind eye movement tracking technology being developed in Vietnam can screen large numbers of children and provide accurate diagnoses by detecting characteristics of children’s eye movements while they take tests on a computer with Vietnamese text.
The research team has created a system comprising simple software and hardware that tracks eye movements while children take tests on a computer with Vietnamese text. The data collected is processed using algorithms based on artificial intelligence to link eye movements to the text being presented in the test. Dr. Nguyen Thi Cam Huong from the Department of Education for Blind Children and Children with Learning Disabilities has been involved in testing the technology on students with dyslexia and praised its ability to support teachers and specialists in every step of screening, diagnosis, and intervention for children with dyslexia. Eye movement characteristics provide valuable information on how children process information and brain function, which aids in accurate diagnoses and personalized interventions.
The research team is currently working on creating a mobile application that can be used by teachers and parents to provide personalized interventions for children with dyslexia at home and in school. The goal is to spread awareness about dyslexia among parents and provide accessible support for children with dyslexia through technology. The team estimates it will take another 1-2 years to perfect the technology, which involves collecting data on children’s eye movements and training artificial intelligence algorithms.
Developing this technology could have significant implications for Vietnam’s education system as it could help identify more cases of dyslexia early on, providing students with better support from teachers and specialists.
Overall, this new technology holds great promise for improving outcomes for students with dyslexia in Vietnam by providing early intervention measures that are tailored to each student’s unique needs.
In conclusion, the development of this new technology by researchers at Hanoi National University represents an important step forward towards improving education outcomes for students with dyslexia in Vietnam
