Overview:
Dyslexia identification in schools is often inconsistent and complex, AI could serve as a supportive tool to analyze student data and help educators make more accurate and equitable identification decisions.
The Growing Role of AI in Education
“Artificial intelligence (AI) is going to become the future of education,” a colleague recently remarked in passing. As a current Dyslexia Interventionist, I have found myself returning to this statement again and again. While AI is undoubtedly becoming a critical component of modern classrooms, an important question remains: what will this mean for the growing dyslexic population?
More specifically, how can artificial intelligence serve as a supportive verification tool in dyslexia identification—helping educators analyze patterns in student data, reduce inconsistencies, and make more informed decisions?
The Challenge of Dyslexia Identification in Schools
Before examining how AI may shape instruction and learning supports, educators must first grapple with a much larger and more complex issue—how dyslexia is identified in schools today.
With a revised definition published in 2025, school districts across the United States are working to interpret what this updated guidance means in practice. This updated definition places greater emphasis on the complex, individualized nature of dyslexia as a neurobiological learning disability and recognizes that it exists along a continuum, rather than as a single, uniform profile. As a result, dyslexia is no longer viewed solely through the lens of letter-sound processing deficits, as earlier definitions often suggested.
In large districts, these changes are already influencing identification patterns. Some districts remain cautious when identifying students, while others report rapidly growing dyslexic populations. This inconsistency raises an important question: who truly fits the dyslexic profile?
Understanding the 2025 IDA Definition of Dyslexia
Per the revised 2025 definition from the International Dyslexia Association (IDA), dyslexia is defined as “a specific learning disability characterized by difficulties in word reading and/or spelling that involve accuracy, speed, or both and vary depending on the orthography”. The IDA further notes that underlying difficulties with phonological and morphological processing are common, though not universal, and that early oral language weaknesses often foreshadow later literacy challenges.
The IDA also states that secondary consequences may include difficulties with reading comprehension and reduced exposure to reading and writing, which can impede growth in language development, written expression, background knowledge, and overall academic achievement.
The Complexity of Accurate Identification
Dyslexia interventionists have long navigated the consequences of both under-identification and over-identification. With dyslexia impacting 15-20% of the population, the International Dyslexia Association states that while some students may qualify as having a specific learning disability and can receive services, many will go unaided without ever receiving the systematic literacy instruction they need; therefore, often leading students to struggle with reading and spelling into adulthood.
The challenge of diagnosing dyslexia is further complicated by the high prevalence of co-occurring conditions such as attention-deficit/hyperactivity disorder (ADHD), autism spectrum disorder (ASD), and speech or language impairments. When these factors intersect, accurately
identifying dyslexia becomes increasingly complex for school teams and often confusing for families.
Although most school districts across the United States have implemented structured supports such as targeted interventions and progress monitoring, differences remain in how decisions are made regarding referrals for special education evaluation—particularly in districts that lack access to updated, evidence-based practices.
While all 50 states have passed legislation related to dyslexia, and many require early universal screening, implementation remains uneven nationwide. A 2025 report from the National Center on Improving Literacy notes that although all states have taken steps to increase dyslexia awareness, local entities vary widely in how they support students in practice. Beyond the shared goal of identifying dyslexia in schools, what remains inconsistent is how assessment data is interpreted and applied at the local district level. As a result, schools may reach differing conclusions about student eligibility for evaluation and services, even when similar data is present.
How AI Is Already Supporting Students With Dyslexia
The reality of this advanced tool became especially evident to me during an individualized evaluation meeting for one of my students, when a parent paused and asked, “I wonder how AI will start helping to identify students?” At the time, the ARD committee didn’t have a clear answer. While the question may feel unsettling, it also reflects a growing reality. As AI continues to develop, its role in education—particularly in assessment and data analysis—will inevitably expand.
One thing we know for sure is that AI already has the potential to reduce barriers for students with dyslexia when used responsibly. Writing, in particular, can be an especially tedious and cognitively demanding process for dyslexic students, often requiring them to juggle spelling, sentence structure, and idea generation simultaneously. When used in conjunction with the accessibility tools and instructional supports that are already in place, AI can serve as a supplemental resource that enhances what educators and schools are already doing.
For both educators and parents, these tools can be viewed not as shortcuts, but as supports—similar to other accepted accommodations—that increase access, independence, and confidence while instruction continues to target foundational skills.
AI as a Supplemental Tool in the Evaluation Process
Given the ongoing inconsistencies in identification practices, it is worth considering how AI might also play a role earlier in the evaluation process. What if AI served as a secondary verification tool, supporting diagnosticians and school psychologists after in-person evaluations are completed? By analyzing assessment patterns and instructional data, AI could help identify consistencies, highlight discrepancies, and support teams in developing more precise, individualized plans of instruction across all learning platforms.
For example, an AI system could analyze patterns across a student’s district-supported reading assessments—whether collected monthly or at key points throughout the school year—alongside progress-monitoring and evaluation data. It could detect persistent trends such as inconsistent decoding accuracy, slow growth in fluency, or recurring phonological errors over time, even when scores fluctuate across testing windows. These patterns could then be flagged for the evaluation team, prompting a deeper review of data that may otherwise appear inconsistent or inconclusive at first glance.
Could this lead to greater consistency in identification across campuses and districts?
Moving Forward with Caution
AI will not replace professional judgment, nor should it. Human observation, professional expertise, and relationship-based decision-making remain essential. However, when used as a collaborative tool rather than a decision-maker, AI may offer an opportunity to strengthen identification practices and better serve students with dyslexia.
As educators, our responsibility is not to resist innovation outright, but to ensure that emerging tools are implemented ethically, thoughtfully, and always in the best interest of students. The use of AI as a collaborative tool for analyzing student data is not a question of if it will happen, but when. Now is the time for districts to begin exploring these tools with intention by investing in training, establishing clear boundaries, and prioritizing equity at every step of the identification process.
Sources:
International Dyslexia Association https://dyslexiaida.org/definition-of-dyslexia. National Center on Improving Literacy (2025) / State of Dyslexia report
