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Sep 22, 2026
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States Push AI Use in Classrooms While Teachers Lack Guidance to Stop Cheating

Educators across the country are hearing state mandates to integrate artificial intelligence into lesson planning, yet many report being left to fend for themselves when it comes to stopping AI‑enabled cheating. High‑school English teacher Paige Wyatt, who left the classroom after battling rampant AI plagiarism, says she spent her own money on detection tools without receiving clear guidance from her district.

Survey Shows Widespread Student Use of AI

A recent Common Sense Media survey found that 70% of teens admit to using AI for schoolwork. The same study highlighted teachers’ growing concern that AI tools are being used to copy and paste content from large language models, making it difficult to distinguish genuine student work from machine‑generated text.

State Legislation Focuses on Guidance, Not Enforcement

At least 13 states have enacted legislation addressing AI in education, but the laws typically task state agencies and local districts with drafting their own policies. This approach often results in documents that emphasize AI literacy and efficiency while offering scant practical steps for preventing academic dishonesty.

Chalkbeat’s review of state‑issued AI guidance found that roughly three‑quarters of the states have published resources, yet most of those resources devote only a page or two to academic integrity. The majority of the content concentrates on defining AI, encouraging human oversight, and linking to external resources—many of which are produced with the support of major AI companies.

Teachers Seek Real Solutions

Without clear, enforceable policies, teachers have resorted to ad‑hoc measures. Some require more in‑class assignments completed with pencil and paper, while others experiment with oral presentations or project‑based assessments that focus on the learning process rather than a final written product.

“We really need real consequences,” Wyatt said before leaving the profession. “We need workshops for teachers to detect cheating. We need workshops for kids.”

Districts Grapple With Policy Development

Among the nation’s ten largest school districts, many are still crafting specific AI policies. New York City, for example, delayed its AI guidance rollout amid intense criticism before finally releasing a policy that discourages the use of AI detection tools.

In California, the state provides a list of questions for districts to consider when forming integrity policies, but offers little beyond an acceptable‑use framework. Similarly, Illinois released a 400‑page AI guide that, despite its length, contains only brief sections on academic honesty.

Experts Call for Evidence‑Based Approaches

MIT professor Justin Reich, who studies the impact of technology on K‑12 education, warned that the lack of evidence‑based policy leaves schools “making stuff up.” He cautioned that unchecked AI use could undermine core learning activities.

John King, former U.S. education secretary and current SUNY chancellor, echoed the urgency, stating, “This isn’t tomorrow’s problem. This is today’s problem.”

Local Initiatives Offer Hope

In western New York, Christopher Harris of the Genesee Valley BOCES library system advocates for rethinking assessment methods, suggesting oral assignments and reflective projects as alternatives to traditional essays.

In Manassas City, Virginia, board member Sara Brescia proposed adding AI misuse to the district’s student conduct code, requiring teacher permission for AI use and mandating citation of any AI assistance. The proposal was rejected by fellow board members who feared it would add burdens without providing detection tools.

Looking Ahead

As AI technology continues to evolve, educators and policymakers face the challenge of balancing innovation with academic integrity. While states are moving faster than they did with earlier tech such as smartphones, the need for clear, enforceable guidelines remains critical to protect the learning environment.

For teachers seeking support, building networks of shared resources and professional development focused on AI detection may offer a path forward until more comprehensive state policies emerge.


Original reporting: KRDO (Colorado Springs metro) — read the source article.

OBBM Network Editorial Staff

[email protected]

Editorial team behind OBBM Network — independent, hyper-local journalism syndicated through HyperLocalLoop and OBBM Network TV.

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