A Free Practitioner's Guide from CIDDL
AI is already shaping your students' learning experiences, whether you've chosen it or not. Adaptive platforms, assessment systems, writing tools, and IEP workflows are increasingly powered by artificial intelligence, often operating quietly in the background without formal review. This free guide gives educators, school leaders, and teacher educators a practical, research-grounded framework for making ethical, data-informed decisions about AI in education.
Free PDF · 12 pages · Published 2026
The Reality in Today's Schools
85% of teachers used AI in their professional role in the past year
57% of teachers used AI to help develop IEPs and 504 Plans in the 2024 school year — an 18% increase from the year before
Fewer than half of those teachers received any guidance from their school or district on responsible use
(Center for Democracy and Technology, 2025)
AI adoption in schools is outpacing policy, training, and oversight. This guide helps educators close that gap.
What's Inside the Guide
Why This Matters Now
AI is already embedded in classrooms across the country. This section helps educators understand the scope of AI use in education, the opportunities it creates, and the risks that come without informed oversight, particularly for students with disabilities and those with complex learning and support needs.
Core Ethical Principles
Five foundational principles, transparency, equal access and fair use, privacy and data protection, human oversight, and student agency and dignity — explained with plain language and real classroom examples.
Understanding Data in AI Tools
What data do AI educational tools collect? Who benefits from that data? And what heightened legal protections apply when students with disabilities are involved? This section includes an eight-question checklist educators can use before adopting any AI-powered tool.
Keeping the Educator in the Loop
A practical framework covering three critical areas, instructional differentiation, progress monitoring and assessment, and IEP and individualized planning support, with clear guidance on what AI can do and what educators must continue to own.
A Framework for Ethical Decision-Making
A three-phase Before / During / After framework with reflection questions for evaluating any AI tool you are considering, currently using, or thinking of discontinuing.
Key Takeaways and Action Steps
Seven principles for ongoing responsible practice, three concrete actions you can take this week, and a dedicated note for university faculty and school leaders about institutional responsibility.
Who This Guide is For
Classroom Educators: If you or your students are using AI tools, this guide provides a practical checklist, a decision-making framework, and real examples to help you stay in the driver's seat. Special attention is given to protecting legally sensitive data, including IEP goals, disability status, and accommodation records.
Education Leaders: AI procurement, vendor vetting, and staff preparation are institutional responsibilities that cannot be on individual educators alone. This guide outlines what responsible AI governance looks like at the school and district level and offers reflection questions to assess where your systems currently stand.
Teacher Educators: Pre-service teachers are entering classrooms where AI is already in use and where consequential decisions are already being made. This guide is a practical, research-grounded resource for building AI ethics and literacy into teacher preparation programs.
Five Principles at the Heart of Responsible AI Use
Transparency
Educators should understand what an AI tool does, how it generates recommendations, and what student data it uses to function. Opaque systems make sound professional judgment impossible.
Equal Access and Fair Use
AI tools are trained on historical data and may perform differently across student groups without making those differences visible. Educators must critically examine outputs, not accept them at face value.
Privacy and Data Protection
All student data is protected under FERPA. Data tied to disability status, IEP goals, behavioral records, and accommodation plans are subject to additional protections under IDEA. These obligations follow the data wherever it goes — including into third-party AI systems.
Human Oversight and Educator Authority
AI informs; educators decide. No algorithm should replace the professional judgment of a trained educator, especially for high-stakes decisions about placement, services, grading, or intervention.
Student Agency and Dignity
Students and their families have a right to know when AI is shaping decisions about their learning, and to have a meaningful voice in those decisions.
Frequently Asked Questions on AI
Is AI use in schools actually that widespread? My district hasn't issued any formal guidance.
Yes — and the gap between adoption and guidance is one of the central concerns addressed by this resource. A 2025 report from the Center for Democracy and Technology found that 85% of teachers used AI professionally in the past year, yet fewer than half had received any district guidance on responsible use. This guide helps you take informed, responsible steps even when formal policy hasn't caught up. The full data and context are in the guide.
Download the guide to learn more
Can I use a generative AI tool to help write or draft IEP goals?
Many special educators are already doing this, and it can genuinely reduce workload. But there are important legal and ethical considerations. When you paste a student's IEP goals, disability status, or assessment data into a generative AI tool, that information may be stored on external servers, used to train the model, or accessible to the vendor's employees — unless proper data-sharing agreements are in place. The guide includes an eight-question practical checklist for evaluating tools before use, as well as a real classroom example of how to use AI drafts responsibly while keeping educator judgment primary.
Download the guide for the full checklist
How do I know if an AI tool is FERPA-compliant?
FERPA compliance is not automatic — it must be verified, not assumed. Vendors must sign formal data-sharing agreements with your district, and your district must review those agreements before any student data enters the platform. The guide walks through the specific questions to ask, including who owns the data, how it is stored, whether it can be deleted upon request, and whether it is used to train the vendor's AI models. If you cannot get clear answers to those questions, that itself is important information to bring to your technology coordinator or administrator.
Not sure where to start? Contact the CIDDL team — we're happy to help.
What if the AI tool our school uses produces recommendations that don't seem right for a particular student?
Trust your professional judgment and document your reasoning. AI systems are trained on data that may not reflect your specific students, and they cannot account for qualitative observations, recent life events, or the full professional context of an educator. A central message throughout the guide is that AI informs; educators decide. The guide includes a framework covering exactly this situation, including what human oversight looks like in progress monitoring and IEP development.
Read the full decision-making framework in the guide
Are there specific legal protections for students with disabilities when AI tools are involved?
Yes. Beyond FERPA, the Individuals with Disabilities Education Act (IDEA) provides heightened protections for data tied to a student's disability, including IEP goals, disability classifications, behavioral records, accommodation plans, and related service logs. These protections follow the data wherever it goes, including into third-party AI platforms. IDEA also requires that IEP decisions be made by a qualified team that includes the family. No AI tool can fulfill that legal obligation, and the guide explains clearly what that means for everyday practice.
Download the guide for full legal guidance
How should I prepare pre-service teachers to use AI responsibly before they enter classrooms?
This is one of the most urgent gaps in teacher preparation today. Pre-service teachers are entering classrooms where these tools are already active and where consequential decisions about students are already being made. This guide is designed as an accessible, research-grounded starting point for teacher education programs. CIDDL also offers AI literacy frameworks, webinars, office hours, and a community of practice specifically for teacher educators. We would welcome the opportunity to discuss integrating these resources into your program.
Reach out to the CIDDL team to discuss your program's needs
Our school is considering adopting a new AI platform. What should we do before signing a contract?
Before any student data touches a new platform, school and district leaders should verify FERPA and, where applicable, IDEA compliance, review the vendor's privacy policy in full, confirm whether the tool has been evaluated for potential bias across different student groups, and ensure a formal data-sharing agreement is signed. The guide's Before / During / After framework applies directly to this scenario. CIDDL also supports school and district leaders through professional development, frameworks, and direct consultation.
Learn about CIDDL's services for schools and districts
Where can I find more AI resources, frameworks, and professional development from CIDDL?
CIDDL offers a growing library of free resources at ciddl.org, including the Framework for Responsible AI Integration in PreK-20 Education, research and practice briefs, webinars, AI office hours, and a community forum where educators connect and learn together. You can also meet CID AI, CIDDL's beta AI assistant, at chat.ciddl.org. This guide is one starting point — there is much more available.
Download the Guide Today
AI is not a future consideration for educators — it is a present reality. This free guide gives you the language, frameworks, and practical tools to engage with it responsibly on behalf of every student in your care.
Questions about the guide or CIDDL's work? Visit ciddl.org or reach out directly at info@ciddl.org.
The contents of this resource were developed under a cooperative agreement with the U.S. Department of Education, #H327F250003. Those contents do not necessarily represent the policy of the U.S. Department of Education, and you should not assume endorsement by the Federal Government.
Suggested Citation: Basham, J.D., Vasquez, E., Fulchini Scruggs, A., Marino, M.T., Lohoefener, J., Dieker, L., & Fudge Coleman, O. (2026). What Every Educator Should Know About Ethics, Data, and Decision-Making When Using AI to Support Effective Instruction: A Practitioner's Guide. Center for Innovation, Design, and Digital Learning (CIDDL).