ISD Policy on AI

How School Districts Are Regulating AI Use in Classrooms

There is a quiet urgency in school halls today — teachers, parents, and students face new tools that promise faster learning but also demand careful guardrails.

The guidance that districts adopt shapes daily classroom life: what technology supports learning, when human judgment must lead, and how data stays safe. Leaders are writing frameworks that center students and educators, stress equity, and require vendor transparency.

This best-practice guide orients leaders to an ISD Policy on AI that balances innovation with safeguards and makes guidance a living, public resource. Examples from Arlington and Tucson show how flexible frameworks and cross-functional teams keep rules current and usable.

Readers will find a clear path: set purpose and principles, choose a format, build teams, protect privacy, and measure impact — all so learning goals remain central and trust grows across the community.

Key Takeaways

  • Adopt guidance that defines acceptable use and preserves human judgment.
  • Make policies living documents: public, searchable, and frequently updated.
  • Center equity, data protection, and transparency in vendor selection.
  • Engage educators, families, and students through clear communication.
  • Build continuous review cycles with metrics, audits, and community input.

Why Districts Need Clear AI Guardrails Now

Clear guardrails let school leaders turn a swirl of tools into predictable classroom practice.

Nearly half of teachers, principals, and district leaders report their school lacks meaningful guidance, and another share says existing policies offer weak guardrails. That gap creates uneven use and real concerns about instruction, assessment, and student data.

Demystifying technology for educators, students, and families

Short, practical guidance explains where tools can streamline work and where human review must stay. Training tied to those rules makes development equitable: every teacher learns how to use tools responsibly and every student gets consistent signals about acceptable use.

Aligning use with district goals and standards

When guidance maps to achievement, equity, safety, and teaching standards, adoption stays focused. Clear expectations preserve critical thinking and protect the integrity of content and assessments.

Model Update Cadence Strength
Living framework (Arlington) Biweekly Rapid adjustments; practical classroom examples
Board-approved + separate guidance (Tucson) Annual review; quick guidance updates Governance clarity with flexible direction
Ad hoc approach None or sporadic High risk: inconsistent practice and confusion
  • Clear guardrails reduce misuse and move schools from ad hoc experiments to transparent expectations.
  • Living guidance lowers risk when technology outpaces formal reviews.
  • Community-facing information builds trust and channels feedback.

ISD Policy on AI: Purpose, Scope, and Guiding Principles

A district’s purpose statement aligns technology choices with learning goals and student wellbeing.

Purpose defines how tools support teaching and administration while keeping students and educators central. The aim is ethical, equitable, and evidence-based development that improves instruction and operations.

Scope covers classroom and administrative use, clarifying when artificial intelligence assists staff and when heightened review or prohibition is required. Working definitions—algorithmic bias, data governance, generative intelligence, and literacy—create a shared vocabulary.

Guiding principles codify expectations: evidence of efficacy, robust data protection, equitable access, and ongoing literacy for the whole community. Educator voice shapes feasible classroom practice; pilots require clear stop-go thresholds and measurable outcomes.

Transparency means publishing approved tools, what data they collect, and how outputs inform decisions. For a concise example of operational guidance and community-facing templates, see the newsletter digest.

“Clear definitions and educator-led design turn high-level principles into classroom practice.”

  • Center students and educators in all choices.
  • Require evidence or time-bound pilots before wide adoption.
  • Publish tool lists, data practices, and literacy plans publicly.

Choosing Policy Formats: Board Policy, Framework, or Guidance

Deciding where rules live matters as much as the rules themselves. District leaders should match format to risk and speed of change. A concise board document sets durable authority. Linked guidance gives staff practical steps that evolve quickly.

When to embed references in existing acceptable use documents

Embed references into an acceptable use agreement when technology simply supports established tasks. This reduces redundancy and speeds adoption. Florida guidance supports folding supplements into current AUPs and technology plans when uses mirror existing workflows.

When a standalone policy is necessary

Adopt a standalone policy when new tools add autonomous functions or novel risks. Standalone rules clarify safeguards, transparency requirements, and accountability. Tucson’s model—annual board review with separate, fast-updated guidance—keeps governance steady while allowing practical updates.

“Frameworks and guidance work best as living resources for classroom exemplars and syllabus language.”

  • Layer formats: board policy for principles; framework for structure; guidance for workflows.
  • Public, editable frameworks—like Arlington’s—help teachers and families stay informed in real time.
  • Embed standards alignment and professional development links so teaching, staff development, and content remain coherent.

Building the Right Team: Oversight Committees and Cross-Functional Task Forces

Effective oversight starts when classroom voices sit beside HR, IT, and operations at the same table.

District leaders should form cross-functional teams that include teachers, staff, parents, and technical experts. This mix makes guidance practical for daily school work and administrative needs.

Who to include and why:

  • Teachers and educators to judge instructional impact and classroom feasibility.
  • HR, IT, operations, and communications to cover data, logistics, staffing, and outreach.
  • Parents and community members to surface local priorities and equity concerns.

Set a predictable meeting cadence: biweekly during rollout, then monthly once guidance stabilizes. Publish agendas and notes so staff and families see decisions and trust updates.

“A broad task force builds better guidance; Tucson’s 40+ member group and Arlington’s biweekly steering committee show the value of diverse voices.”

Function Role Cadence
Instructional Review Teachers, curriculum leads Biweekly → Monthly
Data & Security IT, HR Monthly
Community & Communications Parents, communications Quarterly; public updates

Define decision rights, resource the team with issue trackers, and provide targeted development so recommendations align with education law and practice. For broader governance insights, review these boardroom oversight insights.

Equity and Access: Ensuring Inclusive AI for All Learners

Districts must plan deliberately so students in every zip code can tap the same learning supports.

Equity requires intentional access planning: provide devices, reliable connectivity, and classroom workflows that let every student engage with digital tools. Publish clear guidance on loaner devices and in-class availability so socioeconomic gaps do not block participation.

Assistive supports should sit inside a student’s existing plan and align with IDEA and Section 504. These additions must augment professional judgment, not replace it.

  • Craft procurement rubrics that score accessibility (WCAG), multilingual support, and low-bandwidth modes.
  • Train teachers to adapt assignments so learning goals remain constant while access routes vary.
  • Communicate with families about data privacy and how assistive tools protect student information.
Intervention Primary Benefit Key Metric
Loaner device program Immediate access for low-income students Device checkout rate
Accessible procurement rubric Inclusive tool selection WCAG & multilingual compliance
Educator training Equitable assignment design Assignment completion parity
Community partnerships Expanded connectivity and supports Household connectivity rate

NEA guidance stresses equitable access regardless of location or need; state rules reinforce accessibility and IEP team judgment.

Data Privacy and Security in Public Schools

Protecting student information is the foundation of any district strategy for new classroom technology.

Legal compliance and clear practices turn policy into daily routines.

Districts must map federal rules—FERPA, COPPA, and CIPA—to hands-on guidance for staff and families. That means defining permitted data flows, retention windows, and who may access specific records.

Require vendor contracts to include data minimization, encryption in transit and at rest, breach notification timelines, and deletion protocols at contract end. Perform security reviews before approval and re-check after major updates.

“Publish a tool-by-tool data inventory so families and staff know what information is collected, how long it is kept, and why it is used.”

  • Train staff to avoid inputting PII into unapproved systems and to follow secure workflows using district-approved tools.
  • Use role-based access and least-privilege rules; monitor shadow IT and offer sanctioned alternatives that support instruction.
  • Publish clear data use notices and an incident response plan with reporting channels for suspected exposures.

Transparent, enforceable guidance builds trust: when families see how information is stored, used, and deleted, schools can safely adopt new technology without sacrificing privacy or equity.

Algorithmic Bias, Fairness, and Non-Discrimination

Tools that score, sort, or recommend can shape opportunities — and demand explicit safeguards.

Regular audits and clear oversight spot problematic patterns before they affect students. The NEA recommends scheduled reviews and committee oversight to align technology with equity goals. Florida guidance stresses that systems must support—not replace—professional judgment, and that students receive notice about academic integrity rules.

Districts should establish a bias risk taxonomy and audit cadence for high-stakes use—grading help, behavioral flags, and screening tools. Require vendors to disclose training data, limitations, and mitigation controls. Document reviews to preserve transparency and legal compliance.

“Human review and appeal paths protect due process when automated recommendations affect student outcomes.”

  • Pair responsible use with human-in-the-loop checks and clear override authority.
  • Track incidents, report findings to leadership, and align audits with equity plans.
  • Provide educators with resources to recognize biased outputs and to teach critical evaluation.

When tools fail bias tests, districts should suspend or sunset them and communicate remediation timelines. Incorporate student and family feedback—especially from underrepresented groups—to surface real-world concerns and preserve educational integrity.

Vendor and Tool Selection: Standards, Pilots, and Efficacy

Choosing vendors means more than price — it defines how classrooms experience new tools.

Set clear standards before procurement. Define educational alignment, transparency, equity impacts, privacy posture, accessibility, and total cost of ownership. Require vendors to disclose model capabilities, training data limits, and update cadences.

A collection of diverse educational tools arranged on a wooden desk. In the foreground, there are a tablet and a laptop displaying dashboards with colorful graphs, symbolizing data analysis. Scattered around are several educational resources like math manipulatives, science lab equipment, and art supplies, showcasing various subjects. In the middle ground, an open folder reveals a project plan and a checklist for tool efficacy and standards, while a coffee cup and sticky notes hint at collaborative planning. The background features a softly lit classroom environment, with shelves of books and educational posters creating a focused atmosphere. Warm, natural lighting from a nearby window enhances the mood of innovation and preparation, captured from a slightly elevated angle to provide a comprehensive view of the workspace.

Transparency, equity, and ethical decision-making criteria

  • Publish selection standards and an approved-tool list with reasons for status changes.
  • Ask vendors for bias audits, mitigation plans, and examples of equitable outcomes.
  • Align reviews with state requirements for privacy, accessibility, and procurement.

Pilot studies, evidence collection, and stop-go thresholds

When peer-reviewed research is lacking, run time-bound pilots. Define baseline metrics, clear research questions, and stop-go thresholds so adoption rests on evidence, not hype.

Prioritizing educator-informed design and aligned curricula

Prioritize tools co-designed with educators and those that map cleanly to curriculum and assessment workflows. Provide implementation resources—PD, coaching guides, and templates—to speed classroom readiness.

“Require documented district evaluation results and renewal gates tied to fresh evidence after model updates.”

For sample governance templates, review this sample school board guidance and explore how to build GPT-powered educational tools that center educators and content alignment.

Professional Learning: From AI Literacy to Classroom Integration

Mandatory foundations plus targeted pathways give districts a clear route from basic literacy to confident classroom practice.

“High-quality, ongoing training turns guidance into daily practice.”

Start with mandatory foundations for all staff. These brief modules cover core concepts, district guidance, privacy workflows, and responsible use so everyone shares the same baseline.

Offer role-specific strands for teachers, IT, and administrators. Teachers get classroom integration and teaching exemplars. IT focuses on data and security; leaders learn procurement and governance.

Build educator cohorts and ambassador networks. Small teams model practice, host workshops, and mentor peers. This development creates local capacity and sustainable work rhythms.

  • Include modules on recognizing bias, verifying outputs, and crafting prompts that improve student thinking.
  • Provide playbooks, micro-courses, and timely office hours as practical resources.
  • Reinforce state requirements and privacy guardrails so staff know when to route sensitive tasks to approved systems.

Measure PD impact through observations, artifacts, and staff feedback. Use those results to refine offerings and schedule continuous upskilling tied to product updates and changing guidance.

AI Literacy Across the Curriculum

Students learn best when literacy about tools is taught alongside core skills and classroom routines.

Plan a clear progression. Define outcomes by grade band so education and learning goals build logically from year to year. Early grades focus on familiar concepts; later grades emphasize evaluation, creation, and research-based judgment.

Embed verification, bias awareness, and citation into regular work.

Teach students to check outputs, spot bias, and document assistance in reading, writing, math, science, and the arts.

Content-area exemplars help teachers apply guidance.

  • Close reading prompts that require source checks in English.
  • Model critique tasks in science that compare outputs to evidence.
  • Brainstorming exercises in social studies that demand citation and context.
  • Idea-generation labs in the arts with reflection on originality.

Address common pitfalls—hallucinations, faulty detection tools, and overreliance—by modeling human review and clear stop-go rules. Build routines for acknowledging assistance so academic integrity stays visible and fair.

“Small, aligned lessons let educators integrate new literacy without losing standards or instructional time.”

Grade Band Focus Sample Metric
K–2 Recognition; simple verification Task reflection checklist
3–5 Evaluation; cite assistance Rubric for source checks
6–8 Critical analysis; bias awareness Artifacts showing verification
9–12 Creation; research integrity Portfolio with citations and reflections

Provide educators with mini-lessons, rubrics, and approved tool sets so experimentation is safe and aligned to state standards. Include privacy reminders in assignments and collect student artifacts to guide future development and teaching work.

Acceptable Use, Academic Integrity, and Copyright

Clear classroom expectations turn uncertain tool use into consistent learning routines.

Defining permitted and prohibited uses

Districts should list allowed uses—brainstorming, outlines, summaries, and study aids—and forbidden acts such as submitting fully generated assignments or using unauthorized external tools.

Both students and staff need separate, short examples so everyday decisions are simple and consistent.

Fair use, attribution, and disclosure

Require a uniform syllabus statement that explains acceptable use and attribution requirements. Show examples: a brief parenthetical note for minor edits and a formal citation when a large section is assisted.

Provide links to academic integrity resources such as the academic integrity guidance so educators and students follow shared standards.

Warn that outputs can be unreliable and that detection tools produce false positives—especially for nonnative English speakers.

Avoid using detectors as sole evidence. Require process artifacts, drafts, and teacher checkpoints to verify originality.

“Make restorative learning the first response; reserve disciplinary measures for repeated or malicious misuse.”

Area Permitted Prohibited Teacher Oversight
Writing Outlines, feedback, grammar edits Full essay submissions from external generation Draft checkpoints; rubric artifacts
Research Summaries, source lists Uploading copyrighted databases without permission Source verification; citation checks
Assessments Practice quizzes, study aids Using third-party tools for tests Proctored formats; approved district tool use
Data Non-PII examples Inputting PII or sensitive content into external systems Use district-approved systems; data privacy controls
  • Update examples regularly as guidance and tools evolve.
  • Scale consequences by intent and harm; pair with learning opportunities.
  • Train educators to resolve gray cases with clear, documented steps.

Practical Classroom Guidance for Teachers and Students

Clear classroom rules help teachers turn emerging tools into steady, teachable routines.

Sample syllabus language and transparency practices

Include a short statement that lists allowed tools, required disclosures, and process checkpoints. Example: “Students may use approved tools for brainstorming and draft feedback. All assistance must be noted in the submission and a process artifact provided.” This makes expectations visible for students and families.

Scaffolding responsible use without eroding original work

Scaffold tasks so thinking stays central: require outlines, annotated revisions, or brief oral defenses. Start with low-risk activities—brainstorming prompts and rubric-guided feedback—before moving to complex projects.

“Co-create classroom commitments so students help shape how tools support learning.”

Syllabus Element Teacher Checkpoint Example Artifact
Allowed Uses Weekly checklist Brainstorm notes
Required Disclosure Submission tag Short attribution line
Process Evidence Drafts + annotations Annotated draft PDF
Data Privacy Reminder Class mini-lesson One-paragraph student reflection
  • Teach attribution phrasing and show exemplar citations for assisted content.
  • Include privacy refreshers that state what data to avoid sharing and why approved tools matter.
  • Collect reflections where students explain how a tool shaped their work and verification steps they used.

Align classroom guidance with school and district standards and link to broader resources for responsible governance: responsible governance.

Community Engagement and Communication Strategies

Meaningful outreach turns technical guidance into shared practice across neighborhoods and classrooms.

Make guidance visible and living. Host a public hub that shows version history, approved tools, and data practices so families, staff, and vendors see a single source of truth.

Living documents, public websites, and open forums

Keep guidance editable by multiple staff and publish change logs. Schedule regular open forums and record sessions so anyone can review demonstrations and privacy explanations later.

Parent nights, surveys, and co-designed commitments

Use short surveys to surface concerns and prioritize updates. Host parent nights and virtual workshops that demo tools and explain data protections.

  • Co-design guiding commitments with families, students, and staff to set shared expectations for use and respect.
  • Provide translated resources and short videos so information reaches diverse households.
  • Publish contact points, FAQs, and classroom stories that show benefits and limits of intelligent tools.

“A transparent, regular cadence—quarterly updates and timely notices—builds trust and keeps content current.”

Track engagement and adapt. Measure attendance, sentiment, and FAQ hits; use those metrics to refine outreach and align communications with state and district requirements.

Governance and Continuous Improvement

A clear review cycle ensures districts learn from pilots and scale what truly improves learning.

Annual reviews and rapid guidance updates pair formal board-level evaluation with flexible, between-meeting changes. Set a formal annual review of policy with the board and allow guidance to update quickly as tools and risks evolve. Include school leaders and teachers so classroom realities shape system decisions.

Metrics, audits, and reporting to stakeholders

Define metrics for learning impact, equity, and safety. Track disaggregated data on adoption, outcomes, and incident reports. Run periodic audits for privacy compliance, bias risks, and classroom effectiveness and publish executive summaries for families and staff.

  • Provide clear channels for staff to report issues and recommend improvements.
  • Align governance cycles with budgeting so evidence informs renewals and retirements of tools.
  • Publish dashboards that translate complex information into accessible insights for educators and families.

“Governance that measures, reports, and adapts turns guidance into better classroom practice.”

State and Federal Compliance Considerations

Keeping compliance current requires mapping laws to everyday guidance and vendor contracts.

Navigate state guidance and district obligations. Map federal rules—FERPA, COPPA, and CIPA—and state standards that affect education data and classroom technology. Include IDEA, Section 504/508, and WCAG checks so accessibility and due process are explicit.

Clarify intellectual property and fair use. State limits on uploading copyrighted material, and ownership of employee-created outputs, should be settled before a tool is approved.

“Place procedural specifics in living guidance while keeping policy principles aligned with statutes and district values.”

  • Vet tools for data privacy and accessibility before procurement.
  • Provide checklists and resources for school self-audits and external review.
  • Coordinate with legal counsel; document decisions and appeals paths for fairness.
Area Required Law Practical Step
Student Records FERPA Tool data inventory; retention windows
Child Protections COPPA, CIPA Age gating; classroom filtering
Accessibility & Equity Section 504/508, WCAG Procurement rubric; vendor proof
Special Ed & Due Process IDEA; non-discrimination Appeals; human review for high-stakes use

Conclusion

,Practical governance—simple rules, public resources, and routine review—turns new tools into predictable supports for classrooms.

Districts that pair durable principles with living guidance help educators and students use technology safely while keeping learning goals central. Teams, pilots, clear vendor standards, and focused professional development build capacity and trust across the community.

Embed literacy and critical thinking across subjects, publish clear information about approved tools and data, and measure outcomes. Iteration with evidence lets districts adapt resources to local needs and scale what works.

In short: principled direction, flexible implementation, and shared accountability make artificial intelligence a catalyst for better teaching learning and equitable student development.

FAQ

How are school districts regulating the use of artificial intelligence in classrooms?

Districts are creating layered approaches that include board policy, acceptable use rules, and practical guidance for teachers. Policies focus on student safety, data privacy, equitable access, and alignment with learning standards. Many districts pair formal policy with pilot programs and educator professional development to test tools before wide adoption.

Why do districts need clear guardrails for AI now?

Rapid tool adoption outpaces teacher preparation, data governance, and equity safeguards. Clear guardrails protect students’ privacy, preserve academic integrity, and ensure technology supports learning goals rather than distracting from them. Guidance also helps families and staff understand acceptable uses and risks.

How can districts demystify AI for educators, students, and families?

Effective demystification combines straightforward definitions, role-specific training, and public-facing materials. Districts should host workshops, publish FAQ pages, and provide classroom examples that show how AI can strengthen critical thinking while highlighting limitations and potential bias.

How should AI use align with district goals and teaching standards?

AI must be evaluated against district learning objectives and state standards. Decisions should prioritize instructional relevance, measurable learning outcomes, and teacher-led integration. Tools that map to curricula and support formative assessment are preferred.

What is the purpose and scope of an AI policy for a school district?

A policy clarifies permitted uses, governance roles, data protections, training requirements, and oversight. It sets a consistent baseline for procurement, classroom practice, and vendor relationships and establishes processes for review and accountability.

How can a policy be student- and educator-centered?

Centering students and educators means prioritizing safety, accessibility, and pedagogical value. Policies should require educator input on selection, include accommodations for diverse learners, and protect student agency and academic integrity.

What does ethical, equitable, and evidence-based integration look like?

It involves auditing tools for bias, ensuring access for low-income and rural learners, and using piloting and data collection to measure impact. Decisions should be guided by research, community values, and demonstrated instructional benefit.

How should districts promote transparency and ongoing AI literacy?

Publish clear vendor disclosures, data practices, and classroom uses. Offer regular professional learning and student-facing lessons on how models work, their limits, and how to verify outputs. Make policies living documents with community input.

When should AI be added to existing acceptable use policies versus a standalone policy?

Minor, low-risk uses can be integrated into current acceptable use policies. Widespread deployment, tools that collect student data, or high-stakes assessments typically require a standalone policy or board-level action to ensure governance and compliance.

Who should be on oversight committees or task forces for AI decisions?

Cross-functional teams should include teachers, instructional coaches, HR, IT, operations, legal counsel, communications staff, special education representatives, and parents. This mix ensures pedagogical, technical, and community perspectives inform choices.

How should districts collect feedback and set meeting cadences for oversight groups?

Establish regular meetings, clear feedback loops from classrooms, and mechanisms for rapid review during pilots. Use surveys, focus groups, and performance metrics to iterate policy and practice.

How can districts ensure equitable access to AI tools for all learners?

Address device and connectivity gaps, prioritize low-bandwidth options, and fund assistive technologies. Policies should require vendors to support accessibility standards and align tools with IDEA and Section 504 accommodations.

What considerations exist for assistive AI and special education?

Assistive AI should supplement individualized education programs, enhance communication, and improve access to curriculum. Vendors and staff must ensure confidentiality, appropriate customization, and training for special education teams.

How do data privacy and security requirements apply in public schools?

Districts must comply with federal laws like FERPA, COPPA, and CIPA while enforcing strong data governance: clear contracts, encrypted storage, minimal data collection, and defined retention schedules. Staff workflows should limit unnecessary access to student PII.

What should be included in vendor contracts to protect student data?

Contracts should specify data ownership, prohibited secondary uses, security standards, breach notification timelines, audit rights, and deletion procedures. Require vendors to submit privacy impact assessments and abide by district retention policies.

How can districts audit algorithms for bias and fairness?

Use third-party audits, regular monitoring, and outcome analysis, especially for high-stakes applications. Establish thresholds for acceptable disparate impacts and require remediation plans when biases are detected.

What role does human oversight play in mitigating bias?

Human review is essential for decisions affecting discipline, placement, or assessment. Educators must validate model outputs before action, and systems should log decisions to enable appeals and due process.

How should districts evaluate vendors and tools for selection?

Apply transparent criteria: pedagogical fit, equity impact, privacy protections, security standards, and evidence of efficacy. Run controlled pilots, collect data, and use stop-go thresholds tied to learning outcomes and safety metrics.

What is the value of pilot studies and evidence collection?

Pilots reveal real-world classroom impacts, uncover accessibility or bias issues, and inform scale decisions. Collect both qualitative teacher feedback and quantitative outcome measures before wider rollout.

How can professional learning support classroom integration of AI?

Provide mandatory foundational training for staff, role-specific modules, and ongoing coaching. Establish AI ambassadors and learning cohorts to share best practices and support continuous upskilling.

What should AI literacy across the curriculum include?

Lessons should teach critical evaluation of outputs, bias awareness, source verification, and ethical considerations. Tailor content by grade level and subject to build progressively sophisticated understanding.

How should acceptable use and academic integrity rules address AI-generated work?

Define permissible uses, attribution expectations, and disclosure requirements. Clarify where AI assistance is allowed and where original work is required; pair rules with instruction on proper citation and verification.

What practical classroom guidance helps teachers scaffold responsible AI use?

Use sample syllabus language, assignment templates, and transparency practices that require students to disclose AI assistance. Scaffold tasks so AI supports research and revision without replacing original thinking.

How can districts engage the community and communicate policy changes?

Use public websites, living documents, open forums, parent nights, and surveys. Co-design commitments with families and publish clear FAQs and tool disclosures to build trust.

What governance processes support continuous improvement of AI practices?

Schedule annual policy reviews, require periodic audits, and track metrics tied to equity, learning outcomes, and privacy. Maintain rapid-update pathways for emergent risks and stakeholder reporting mechanisms.

How do districts navigate state and federal compliance while staying flexible?

Align policies with state guidance and federal law, but retain flexibility to adjust practices based on local needs and evidence. Consult legal counsel and state education agencies when designing binding policy.

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