The Tool Desk
Outbyte PC Repair FREERepair Windows errors before they cause bigger problemsFix Now →Outbyte Driver Updater FREEFix the driver behind crashes, sound loss and screen glitchesFind Drivers →Artificial intelligence can personalize education by using a learner’s progress, errors and responses to adapt practice, pacing, feedback and next activities. Generative-AI tools can also tailor explanations and support tutoring, but their output needs human review. The useful question is not whether AI can customize a lesson; it is whether a school can show that a particular tool helps learners, protects their rights and fits the classroom.
What does personalized learning with AI mean?
An AI-enabled learning system can use information such as answers, mistakes, time spent on activities and progress through a course to estimate what a student understands and what they may need next. It can respond by changing the difficulty of a task, offering another explanation, recommending practice or adjusting the pace.
UNESCO’s 2023 Global Education Monitoring report describes intelligent tutoring systems as tracking student progress, difficulties and errors so they can provide feedback and adjust difficulty toward an appropriate learning path. Generative-AI tools add a different capability: they can produce customized explanations, draft instructional materials and converse with a learner. Their answers are generated outputs, not verified instruction; OECD guidance emphasizes that teachers and learners should review and adjust them.
Personalization is therefore a process, not a guarantee that each student receives a perfectly individualized curriculum. The system makes suggestions from available signals, and educators need to decide whether those suggestions fit the learner, the learning objective and the wider classroom context.
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How can AI create a personalized learning path?
- Set a learning objective. A teacher identifies the knowledge or skill students should develop, along with any relevant curriculum requirements.
- Gather learning signals. A tool may record answers, error patterns, progress or other interactions. Which signals it uses matters: incomplete or misleading data can lead to poor recommendations.
- Estimate what the learner needs. The system uses its model to identify possible gaps, select an activity or generate feedback. That estimate should be treated as a useful hypothesis, not a definitive diagnosis of ability.
- Adjust instruction. Depending on the product, the next step may be easier or harder practice, a different explanation, a review activity or a change in pace.
- Review and revise. The learner and teacher check whether the activity and feedback helped. Educators can correct a mistaken recommendation, provide context the system lacks and decide when a student is ready to move on.
That loop can help a student spend more time on a specific gap instead of repeating material they already know. It works only when the learning signals, model, content and classroom decisions are reliable enough for the task.
What kinds of AI tools support personalization?
AI in education includes several kinds of products, and “personalized learning” can mean different things from one product to another. UNESCO IITE’s 2025 analytical report groups the market into the categories below.
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- 【Stylus for Touch Screen】This stylus can be used on touch screen, designed to replace your fingers, the stylus can free up your fingers and provide higher sensitivity and response on the screen.
- 【Capacitive stylus】This is a capacitive stylus (battery-free, requires no charging, and functions like a fingertip)—not an active stylus. It does not support pressure sensitivity or palm rejection. However, it allows for tapping, scrolling, note-taking, and drawing on touchscreens; if you require professional-grade drawing capabilities on an iPad, please choose an active stylus instead.
- 【2-in-1 Stylus Pen】This stylus features two different tips: a flexible transparent disc tip and a rubber tip. Applying moderate pressure when using the rubber tip ensures full contact with the screen—especially on screens with protective films—thereby enabling stable signal transmission. The combination of the rubber tip and the disc tip offers two distinct touch experiences.Please note that the plastic piece on the transparent disc is an integral part of the tip and cannot be removed.
- 【Works On Capacitive Touch Screens】Compatible with iPad, iPad Air/mini, iPhone, Samsung Galaxy Tab, Android tablets, Kindle and smartphones. Also works over most screen protectors — glide, no scratch. The stylus is used to replace your fingers on a touchscreen, Avoid rubbing your fingers and leaving fingerprints on touchscreen devices. If it cannot be used for writing on some devices, This may be due to limitations in the settings of touchscreen devices. If you cannot find a solution, please contact us at any time, and we will help you resolve the issue.
- 【Multiple Usage Scenarios】Whether you are taking notes in class, reviewing documents at work, drawing creative designs, or enjoying mobile games, this universal stylus pen delivers a smooth and comfortable touch experience. It is ideal for writing, sketching, annotating, scrolling, and precise screen control on tablets and smartphones. From daily tasks to creative projects, this stylus helps you capture ideas anytime and anywhere.
| Tool category | How it may personalize learning | What educators should check |
|---|---|---|
| Learning analytics | Summarizes learner activity or progress to help identify patterns and possible support needs. | Which signals feed the analysis, whether teachers can interpret the results, and whether the system is being used to make decisions it cannot support. |
| Adaptive-learning platforms | Changes activities, difficulty or sequence in response to learner performance. | How the system selects the next task, whether teachers can override the sequence, and whether learning impact has been independently evaluated. |
| Generative-AI tutoring | Provides conversational explanations or practice tailored to a learner’s prompt or apparent needs. | Accuracy, age safeguards, source verification, privacy and how students can report harmful or misleading output. |
| Student-support systems | Uses digital tools to support services or assistance for students. | What data is collected, who sees it and whether automated recommendations affect access to support. |
| Career-building systems | May help learners explore or develop career-related pathways and skills. | Whether suggestions reflect the learner’s interests and context, and whether they risk narrowing choices through biased or incomplete data. |
UNESCO names Duolingo Max and Khanmigo as examples of intelligent-tutoring tools. These examples do not establish that every feature in either product is appropriate for every age, subject, school or learner; a school should assess the actual product and its evidence in its own context.
What are the potential benefits—and what is not guaranteed?
- More targeted practice: If a system correctly detects a learner’s gap, it can direct practice toward that skill and offer feedback tied to the response.
- Classroom-level insight: Patterns across student work may help a teacher see where several learners are struggling and decide where to intervene.
- Flexible pacing: Students may be able to revisit difficult material or progress through familiar material at a suitable pace, with educator supervision.
- Support for specific learning needs: Accessible, evidence-based tools may offer useful support, but accessibility and suitability need to be checked for the particular student.
- Help with teacher tasks: AI may assist with curriculum research, drafting learning materials or formative assessment. Educators still need to check content, alignment and quality.
These are opportunities identified in OECD and UNESCO discussions, not proof that any given product raises attainment. A customized activity can still be inaccurate, poorly matched to the curriculum or less effective than another teaching approach. Schools should look for evidence of learning impact rather than treating personalization itself as an outcome.
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- The round head of the stylus is made of silicone, which is used for mobile phones and tablets.
- The stylus pen tip is made of hard plastic, which can only be used for resistive screens such as GPS and navigator.
- The round head and pointed head of the stylus are compatible with all the capacitive and resistive screens at present.
- SILICONE ROUND HEAD, FOR MODERN DEVICES: The soft, conductive silicone round head is designed specifically for all capacitive touch screens, including iPad, iPhone, Samsung Galaxy, Android tablets/smartphones, and other similar devices. Perfect for scrolling, tapping, and general navigation.
- PLASTIC TIP, FOR SPECIFIC RESISTIVE SCREENS ONLY (PLEASE NOTE): The fine plastic tip is ONLY compatible with older resistive touch screens, such as those found on some GPS devices, Nintendo DS/3DS, and certain POS machines. It will NOT work on capacitive screens like iPhones, iPads, or modern smartphones/tablets.
What are the risks and limits?
Unequal access
A learning path that requires a reliable device and internet connection may work better for some students than others. UNESCO estimated that 2.6 billion people lacked internet access in 2024—nearly one-third of the world’s population. Schools should provide offline or low-bandwidth alternatives so access to instruction does not depend on connectivity at home.
Data, privacy and security
Personalization can require sensitive information about a child’s performance and behavior. OECD warns that student data may be collected commercially and that privacy or security failures are a risk. Schools need to know what a vendor collects, why it is needed, who can access it, how long it is retained and what happens when a contract ends. Clear limits should prevent unrelated marketing use.
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- 【PREPARE YOUR IPAD BEFORE USE】Before using our iPad pen, ensure the "Only Draw with Apple Pencil" feature is off in Settings > Apple Pencil. Disabling this option is crucial for proper stylus functionality.
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- 【2-in-1 DESIGN】The stylus pen comes with different tips on both ends. One end is the disc tip, which is more accurate and sensitive, suitable for taking notes and drawing. The other end is a durable fibre tip for browsing or scrolling web pages, effectively protecting the screen from fingerprints or smudges.
- 【HIDDEN SPARE TIP】This 3 pack of stylus pens includes 3 additional disc tips and 3 extra fibre tips. Each disc tip is placed inside the stylus body. The spare tip can be taken out by simply rotating the fibre tip end. Convenient for always having a spare pen tip ready to go.
- 【HIGH PRECISION & SENSITIVITY】The stylus pen features a flexible disc tip that fits flexibly on the screen without leaving broken lines. Additionally, the disc tip is transparent, allowing you to get a clearer view when writing or drawing.
Bias and unsuitable decisions
Models may perform differently across groups if their data or design do not reflect the students using them. Poor recommendations can stigmatize learners or discriminate against groups, especially if an automated score is treated as a high-stakes judgment. A system should not decide a student’s ability, placement or access to opportunity without meaningful educator review and an appropriate basis for the decision.
Output quality and educator capacity
Generative tools can produce plausible but inaccurate explanations, while digital learning materials may be low quality or misaligned. OECD also identifies weak educator capacity as a barrier. Training and review procedures are necessary: students should learn to question output and verify sources, and teachers need time and authority to correct errors.
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Availability and evidence vary
AI has been applied in education in some form for at least 40 years, according to UNESCO’s 2023 report; that history does not mean current generative-AI systems have decades of classroom evidence. OECD’s digital-education overview says very few AI resources are available in classrooms and adaptive-learning or assessment systems remain absent from most OECD education systems. Availability and evidence therefore vary by country and school system. UNESCO’s 2019 policy guidance cited more than 60 commercial intelligent tutoring systems, including ALEKS, Byju’s, Mathia, Qubena, Riiid and Squirrel AI; this is a historical figure, not a current count of products available to a particular school.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.How should schools protect students and use AI responsibly?
Schools can treat adoption as an instructional and governance decision, not simply a software purchase. Before deployment, they should define the purpose, assess the product and keep educators responsible for decisions affecting learners.
- Define the goal and teacher role. Specify the learning problem the tool should address and which decisions remain with educators.
- Test before broad use. Check accuracy, accessibility, language support, subgroup performance and bias with the students and settings for which the tool is intended. Continue monitoring after deployment.
- Keep human review meaningful. Teachers should be able to see relevant recommendations, question them and override them. Keep a human in the loop for feedback, progression and high-stakes decisions.
- Minimize and govern data. Collect only data needed for the stated educational purpose. Contracts should clarify data ownership, purpose limits, retention, security, access and deletion, and prohibit unrelated marketing use.
- Train staff and students. Educators need support to assess AI-generated content and use results responsibly. Students should be taught to question answers, verify sources and report harmful behavior.
- Plan for access gaps. Provide equivalent offline or low-bandwidth options and accessible alternatives so students are not excluded when they lack a device, connectivity or a tool’s supported access features.
- Set procurement criteria. Compare evidence, teacher controls, interoperability, accessibility, privacy, security, age safeguards, vendor transparency and total cost—not just the quality of a demonstration.
OECD’s summary of U.S. Department of Education recommendations emphasizes human involvement, alignment with a shared educational vision, modern learning principles, trust, educator involvement, research and development focused on context, trust and safety, and education-specific guidelines and guardrails. UNESCO’s 2024 report, AI and education: Protecting the rights of learners, states: “This report emphasizes that all efforts must prioritize a human-centred and rights-based use of digital technology to benefit all learners.”
How can a school compare AI personalization tools?
Use the same questions for each candidate rather than relying on a vendor’s general claim that its product adapts to students. Record evidence and unresolved issues during a pilot or procurement review.
- Learner signals: What student data and interactions does the system use, and are they necessary for the learning goal?
- Feedback and explanations: How are recommendations or generated responses produced, and how can a teacher check their accuracy?
- Teacher visibility and override: Can educators understand why a learner received a recommendation and change the next step?
- Learning impact: Is there independent evidence that the tool improves learning for comparable students and in a relevant setting?
- Accessibility and language: Does it work for learners’ accessibility needs, languages and devices?
- Privacy and security: What are the collection, use, retention, ownership, access, security and deletion terms?
- Bias and subgroup testing: Has performance been examined across relevant learner groups, and how will disparities be monitored?
- Interoperability: Can the tool work with the school’s existing systems without unnecessary data sharing or lock-in?
- Age and safeguarding: Are controls, content and reporting processes appropriate to the students who will use it?
- Cost and transparency: What is the total cost and what information does the vendor provide about model behavior, updates and limitations?
UNESCO’s 2023 report noted that only 41% of U.S. education-sector leaders in a 2022 survey agreed they were regularly included in technology planning and strategic conversations. That finding points to a practical governance question: educators who understand classroom needs should participate in selection and ongoing review, not be asked to absorb a tool after the decision is made.
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