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AI beating dyslexia

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As many as 10 to 15% of school-age children are dyslexic and the International Dyslexia Association estimates that there are 1 billion people with dyslexia worldwide. Early intervention helps to overcome it and a new piece of AI is helping to identify those people so something can be done.

Fredrik Wetterhall, the co-founder of Lexplore, says his software can evaluate students’ reading levels and visualise the cognitive process that is happening when a child reads.

Lexplore’s use of eye gaze allows teachers to see how the child is reading and how the struggles of dyslexia impact the reading process.

Lexplore is powered by eye-tracking and artificial intelligence technologies and in two minutes a teacher can obtain a student’s reading level. This high-tech process provides teachers with real-time data for intervention that directly correlates to a student’s reading capability.

The eyes of a child with high reading capabilities generally move through a passage of text with short, quick movements, whereas a child with a low reading ability tends to move much slower, and may fixate on individual words. By studying such differences in saccadic movement and fixation time, the software can quickly evaluate how effectively the five major processes involved with reading work together.

The method originates from a longitudinal study known as Kronobergsprojektet, launched almost 30 years ago it examined reading difficulties and tracked the eye movements of around 100 children, both those with difficulties and those without.

Lexplore brings advanced statistical analysis into the mix, by analyzing eye movement patterns from the Kronobergsprojektet study, the software’s authors were able to show that statistical models based on the data could, with a high degree of accuracy (95.6%), predict which students were experiencing difficulties after as little as 30 seconds of reading.


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