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AI may help teachers tailor instruction, offer more individualized feedback, and connect learners with useful resources. But it does not automatically close achievement gaps: students need reliable access, educators need the time and training to guide its use, and schools need safeguards and evidence that the tools are helping the learners they are meant to serve.
How AI could support more individualized learning
AI tools can make some forms of instructional support easier to adapt to a learner’s needs. The U.S. Department of Education’s July 2025 guidance describes AI as a possible support for individualized learning and differentiated instruction. UNESCO’s 2025 report also identifies personalized learning and broader access as opportunities. These are plausible ways AI might help; they are not proof that using AI improves equity or closes achievement gaps.
Adapting instruction and feedback
A tool might help an educator prepare explanations at different reading levels, generate practice questions, or give a learner additional opportunities to work through a concept. Such uses could be helpful when they respond to a specific learning need and an educator checks that the material is accurate, accessible, and appropriate. They should complement—not replace—professional judgment and relationships with teachers.
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Digital tools may make learning materials easier to find or adapt, including resources that support different languages, formats, or learning needs. Whether that creates meaningful access depends on the quality of the materials, the tool’s accessibility, and whether students can use it where learning takes place.
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Supporting educators
AI can be considered as part of a broader effort to help teachers plan and differentiate learning. Its value depends on whether it addresses a real instructional need without adding more work than schools can support. The OECD’s 2024 review discusses AI’s adaptation potential while emphasizing that its implications for equity and inclusion remain insufficiently established.
Why access determines who benefits
An AI-supported lesson is not equally available to students who have dependable devices and connectivity and those who do not. Access to affordable, high-quality Internet and digital learning resources both in school and at home is a prerequisite for many uses. The OECD’s 2023 Digital Education Outlook warns that unequal access can cause digital transformation to worsen existing inequities rather than reduce them.
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UNESCO reported that around 2.6 billion people lacked Internet access as of 2024. That is a global estimate, not a figure about students or schools, but it illustrates why online learning opportunities cannot be assumed to reach everyone.
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Educators and school systems need to lead implementation
Putting a tool in a classroom does not by itself make it an instructional strategy. The OECD’s 2023 guidance calls for teacher professional learning and guidance on digital competencies and resource use. Its system-wide guidance also emphasizes planning, clear objectives, teacher involvement, and ongoing evaluation.
Schools should define the learning problem first, then decide whether AI is an appropriate response. Educators need time to understand how a tool works, where its output may be unreliable, and when not to use it. They also need clear expectations for reviewing materials, supporting students, and escalating problems. A system-level plan can clarify responsibilities, provide technical and instructional support, and prevent tools from becoming unsupported add-ons.
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Implementation has a cost beyond purchasing or providing access: staff time, training, technical support, data integration, and the work of monitoring results. Schools should be able to explain why that burden is justified for the learners and learning goals involved.
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Safeguards for bias, privacy, safety, and discrimination
AI systems can reflect or produce biased outputs, mishandle sensitive information, or fail to serve learners with different languages, cultures, or abilities. The OECD’s 2024 review highlights concerns including bias, privacy, cultural responsiveness, and techno-ableism—the risk that technology can disadvantage or exclude people with disabilities. UNESCO’s rights-based framing also calls attention to privacy, safety, ethics, governance, and equity, particularly for vulnerable groups.
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Schools should establish safeguards before use, rather than relying on students and teachers to identify every problem after it occurs. That includes understanding what learner data a tool collects and how it is used, explaining the tool’s role to students and families, checking outputs for accuracy and harmful assumptions, and ensuring that students have meaningful ways to get help or complete learning without an unsuitable tool.
The U.S. Department of Education’s Office for Civil Rights cautions that AI used in instruction or school safety can create or contribute to discrimination. That is a reason to assess effects and address discriminatory outcomes under applicable civil-rights protections; it does not mean every use of AI is unlawful. Schools should monitor who is helped or harmed and have a process to respond when the tool produces unequal or exclusionary results.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.How schools can decide whether an AI tool is worth using
Start with a defined learning need, not a product or a promise. OECD guidance and the U.S. Department of Education’s September 2026 classroom technology guidance point to a practical evaluation process: establish the purpose, check who can benefit, set safeguards, and assess meaningful learning outcomes.
- Name the learning problem. Identify the specific barrier the tool is intended to address and the learners affected. If the problem is unclear, the school cannot judge whether AI is an appropriate response.
- Check learner reach and access. Determine which students can use the tool, including students with disabilities and learners with limited connectivity. Assess device and Internet access at school and at home, along with the accessibility and quality of the resources involved.
- Set the educator’s role and support. Specify when and for whom the tool should be used, what teachers will review, and what training and ongoing support staff need. Account for the time and technical work implementation requires.
- Review safeguards before introducing it. Establish how privacy, safety, bias, transparency, and potential discriminatory effects will be handled. Explain the tool’s use to relevant students and families, and define how concerns can be raised and addressed.
- Decide what evidence would justify continued use. Choose meaningful learning outcomes tied to the original problem. Monitor results for the intended learners and examine whether outcomes differ across groups; overall results alone may hide who is being left behind.
- Reassess and change course when needed. The Department’s September 2026 guidance says schools should be willing to change or remove a tool when evidence shows it is not improving learning. Continue only when the results justify the tool’s cost, burden, and risks.
What the evidence does—and does not—show
The evidence supports treating AI as a possible means of adapting instruction and expanding access, not as a demonstrated solution to educational inequity. The OECD’s 2024 review by Samo Varsik and Lydia Vosberg finds that research on AI tools’ implications for equity and inclusion is insufficient for confident conclusions about which interventions close gaps. Schools should therefore judge each use by its results for the learners it is intended to serve, rather than assume that adopting AI will make education more equitable.
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