When we talk about dyslexia, many people think of difficulties with reading and writing. But what happens when students have both dyslexia and giftedness? These students may perform well on standardised reading comprehension tests when comprehension is assessed through multiple-choice questions. In this way, the decoding problems typical of dyslexia are not detected. This may mean that the difficulties remain invisible to teachers, students and parents.
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Nearly every state in the U.S. passed some sort of dyslexia laws over the past decade. Most of these laws encourage or require schools to screen young children for reading difficulties, train teachers in evidence-based reading instruction and provide targeted support to students who show early signs of dyslexia.
Families of children with dyslexia, educators and dyslexia advocacy groups widely praised these laws. If schools could identify dyslexia early and respond with evidence-based instruction, reading outcomes would likely improve and fewer children would fall behind.
But what actually happened after these laws passed?
My colleagues and I examined nearly two decades of national student data to answer this question. The results tell a complicated story.
Read the full article HERE
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
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
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
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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