Virginia Schools Must Have AI Policies After Eight of Ten Districts Had None

Last updated: July 9, 2026

Your child’s teacher is using AI tools in the classroom right now. Whether there is any written policy governing that use is another question: new research from Virginia Commonwealth University found only two of ten Virginia school districts had any AI policy for teachers, with most not having updated their data privacy systems for AI at all. Virginia’s response, a law effective July 1 that requires every school board to adopt AI use policies, cleared the state legislature 95-0. The gap matters most for children who struggle with reading or math, because AI tools in the classroom work as a scaffold or as a substitute, and which one depends entirely on whether someone at the school has thought it through.

TL;DR

Virginia HB1186, effective July 1 and passed 95-0 in the House, requires every school board to adopt AI use policies aligned with VDOE statewide guidance.
VCU research released July 8 found only 2 of 10 Virginia school districts had written AI policies for teachers; most had not updated student data privacy systems for AI.
Jesse Senechal, Ph.D., of VCU: “AI governance hasn't caught up to how fast the tools have shown up in classrooms and schools.”
Special education accommodation research identifies a documented failure mode: supports that substitute for skill-building quietly remove the incentive to build the underlying skill.
Parents of struggling learners have three questions to ask before fall: does a policy exist, what evidence shows AI tools build skills, and how is student data protected.

Virginia now requires every school district to adopt AI use policies, but new VCU research found eight of ten districts had none for teachers before the law took effect July 1. Here is what parents of children who struggle with reading or math need to ask before the school year begins.

Common questions

Does Virginia’s AI law ban AI tools in classrooms?

No. The original bill would have prohibited students from being required or encouraged to use AI chatbots for assignments, but the final version that passed 95-0 instead requires the Virginia Department of Education to develop guidance for the safe, ethical, and equitable use of AI in K-12 schools. School boards must then adopt policies consistent with that guidance.

How do I find out if my child’s school has an AI policy?

Ask your school principal or the district’s technology coordinator directly. Under Virginia’s new law, every district must eventually adopt a policy consistent with VDOE guidance. If no policy exists yet, ask when the board expects to vote on one and what AI tools teachers are using in classrooms in the meantime.

Do AI tools help children who struggle with reading or math?

Some AI tools provide genuine scaffolding: audio support, pacing adjustments, writing feedback that targets the underlying skill. Others substitute for the skill rather than build it. Research in special education consistently shows that supports substituting for skill-building lead to dependence rather than growth. The right question is whether the tool is building the underlying skill or bypassing the expectation that it gets built. A screener is a starting point, not a diagnosis; if your child needs formal accommodations such as an IEP or 504 plan, or if you suspect a vision, hearing, or medical cause, pursue a professional evaluation, as that is the only route to those formal supports.

How does AI in schools affect student data privacy?

Virginia’s law specifically requires VDOE guidance to address student data privacy, including compliance with FERPA and COPPA. VCU’s July 2026 research found most Virginia districts had not updated their data privacy systems to account for AI tools accessing student records. Until your district adopts its policy, it is reasonable to ask what AI tools are in use, what data those tools access, and how the school ensures compliance with federal student privacy law.

Virginia needed a 95-0 vote to require schools to have AI plans for tools already in most classrooms. Research found 8 of 10 districts had no written policy for teachers. 3 questions for parents before fall. Tweet Now Follow Learning Success

What Virginia’s new law requires

Virginia’s HB1186, effective July 1, 2026, passed the House of Delegates 95-0 and the state Senate 38-1. It directs the Virginia Department of Education to develop statewide guidance for the “safe, ethical, and equitable use” of AI systems in K-12 classrooms. School boards must then adopt their own policies consistent with that guidance. The legislation requires VDOE guidance to address student data privacy (including FERPA and COPPA compliance), teacher professional development, and documentation of AI systems used for student instruction. A $2 million AI Innovation in Education Pilot Program was also established, funded in FY 2027-2028, to help districts evaluate AI tools with attention to educator training, student privacy, and equity.

Simultaneous research from VCU’s Metropolitan Educational Research Consortium, published July 8, 2026, documented why the law was overdue. Researchers found only two of ten Virginia school districts had any written AI policy for teachers. Most had not updated their data privacy systems to account for what AI tools access from student records. “AI governance hasn’t caught up to how fast the tools have shown up in classrooms and schools,” said Jesse Senechal, Ph.D., of VCU.

Author Quote "

“AI governance hasn’t caught up to how fast the tools have shown up in classrooms and schools.”

What the coverage gets wrong

Most reporting frames Virginia's law as a win: the state is getting ahead of AI in classrooms. That is accurate. What the coverage underweights is that requiring a policy is not the same as requiring a good one, and the guidance districts must follow has not been written yet. AI is already operating in most Virginia classrooms. For families of children who struggle with reading or math, accommodation research in special education consistently shows that supports substituting for skill-building lead to dependence rather than growth. A policy on paper does not specify whether an AI tool builds the skill or stands in for it. That question is still on parents to ask.

The governance gap has a track record

Most coverage is framing Virginia’s 95-0 vote as a clear win. It is. It is also a diagnostic. A state legislature needed to pass a law to require that schools have a policy for technology already running in most classrooms. Researchers established that the three-cueing reading approach was training children to read like struggling readers as far back as the 1990s, and it took a national investigative podcast in 2019 to prompt states to change their laws. Educators across 18 countries still teach to “learning styles” despite that idea failing in controlled studies back in 2008. That is not a science problem. It is a systems problem, and AI in classrooms is running the same playbook at a much faster pace.

For children who already work hard at reading or math, the missing policy carries a specific documented risk. Accommodation research in special education consistently describes a “differential boost”: the right support at the right moment lifts a struggling learner more than it lifts anyone else. But the same research identifies the failure mode. A support handed out because it is easier than addressing the actual gap quietly removes the incentive to build the underlying skill, and dependence sets in. An AI tool in a classroom without governance is exactly that risk: a scaffold of unknown design, used in ways no one has formally evaluated, with no one tracking whether the child is building strength or merely getting through.

Virginia’s law will eventually require policies. What it does not specify is whether those policies must ensure AI tools are building the underlying cognitive skills that let a child use any tool well. That distinction is on parents to ask about before the school year begins.

Key Takeaways:

Eight of ten Virginia districts had no AI policy for teachers: VCU research released July 8 found most districts had not written guidance for teacher AI use and had not updated student data privacy systems for AI.

The governance gap follows a known pattern: The same systems lag that kept flawed reading instruction in classrooms for decades is now playing out with AI, only faster, and children who struggle with reading or math are most exposed to the failure mode.

The parent question is not whether AI is in the classroom, but whether it builds skills: Accommodation research shows supports work when they build the underlying skill, and that substitution leads to dependence, not growth.

Three questions to ask your school before fall

Virginia’s law does not arrive with a finished set of rules. The Department of Education now has the obligation to write guidance, and districts must adopt policies once it does. That process takes time. In the meantime, AI tools are operating in classrooms across Virginia and most other states, often without written governance.

Parents of children who find reading or math hard have a specific reason to ask three questions before the school year begins. First: does your school have a written AI policy, and when does the board vote on one? Second: what AI tools are teachers using for reading or math support, and what evidence shows those tools build the underlying skill rather than substitute for it? Third: how does the school protect student data when AI tools access classroom records?

The $2 million pilot program Virginia funded is designed to help districts work through exactly these questions. But parents who wait for the state to finish its guidance before asking their own are waiting longer than their child has. The research on struggling learners is not a secret: the right support, at the right moment, with someone tracking whether the child is gaining strength, makes the largest difference. Until last week, eight of ten Virginia districts had no written plan for ensuring that is what AI delivers.

You already know your child is capable of more than a label or a low score suggests. What children who work hard at reading or math need is not a governance policy that exists to satisfy a compliance checkbox. They need supports that build the skill, track whether they are gaining strength, and hold the expectation in place that the skill gets built. The villain here is not AI: it is the habit of adopting powerful tools without a plan for whether those tools are growing a child or growing their dependence on a workaround. The Learning Success All Access program is built on that principle: a personalized, multi-system approach that strengthens the cognitive foundations underneath reading, math, and attention, not a tool that stands in for them. Start with a free AI analysis of your child’s specific learning profile.