Category Archives: Detection

AI Handwriting Analysis May Catch Dyslexia and Dysgraphia Early

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Summary: A new AI-driven tool developed by researchers could revolutionize how educators and clinicians screen for dyslexia and dysgraphia in children. By analyzing handwriting samples from K–5 students, the system detects behavioral cues, spelling errors, motor difficulties, and cognitive issues with remarkable precision.

Unlike traditional screening, which is time-intensive and often condition-specific, this method is faster, scalable, and could ease the burden on the nation’s limited speech and occupational therapy workforce. The research underscores the value of using artificial intelligence for early intervention, particularly in underserved communities.

Read the full article HERE

Colorado starts Dyslexia screenings

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Dyslexia screenings are now required in Colorado for kindergarteners through third-graders, starting with the 2026-27 school year.

Under a new state law, school districts must develop their own screening process or adopt a universal dyslexia screener meeting certain criteria.

“Either way, the screener must accurately and reliably identify students at risk of reading difficulties,” according to Senate Bill 25-200, which is titled “Dyslexia Screening and READ Act Requirements.”

Read all about it HERE

How AI can help detect dyslexia in children

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A team of researchers from the State University of New York at Buffalo has presented an innovative study on the use of artificial intelligence in the early detection of dyslexia and dysgraphia in children.

The study proposes a method for analyzing handwriting—on paper or tablet—to identify early signs of these disorders. Its aim is to complement existing screening tools, which are often costly, time-consuming, and focused on detecting only one disorder at a time.

Read the full article HERE

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A toucan finds your dyslexia

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Dyslexia: News from the web:

Cassidy MacNamara is conducting a screening for dyslexia among students at a Bridgeport elementary school with the help of an animated toucan named Pip. She has introduced students to Pip the Toucan, the star of EarlyBird, an award-winning diagnostic application developed by neuroscientists at Boston Children’s Hospital to screen for signs of dyslexia. Pip is the application’s mascot and interacts with students to keep the process engaging.

Read all about it HERE

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