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How AI and Eye Tracking Could Soon Help Schools Screen for Dyslexia

In an era of breakneck change and tech innovation, evaluating dyslexia in young students looks much the same today as it has in the past: A struggling reader’s parents and teachers might sit down, gather information and assess the child on their strengths and weaknesses to determine a diagnosis and appropriate interventions.

Often this is done via paper tests—despite the growing usage of predictive analytics in schools, where there are seemingly as many data dashboards as students in a classroom. All that’s to say, it seems like an industry almost too tempting for deep-pocketed tech investors and an ambitious startup with an eye on using machine learning to trim the fat.

“Today’s methods are quite cumbersome,” explains Frederik Wetterhall, the CEO and co-founder of Lexplore, a company that has devised a dyslexia screening tool that pairs eye tracking cameras with AI and algorithms. “With paper- and pen-based tests, it’s quite hard to read the results and takes a lot of time. [Educators] ask, ‘Who are the kids we think have difficulties?’ and they miss a lot of kids.”

You can read the continuation of the article, originally published on EdSurge, by clicking here.