AI in School: Disruption Ahead

Artificial intelligence is making a notable entry into education: students use it for their homework, teachers for preparing lessons, and applications offer personalized support. This arrival raises as many hopes as concerns. On one hand, AI promises accessible academic support, personalized help, and time savings for teachers. On the other, it raises concerns: will students « cheat » and stop learning? Will critical thinking atrophy? What happens to fundamental skills? As is often the case with AI, the reality is NUANCED: AI in education is neither a catastrophe nor a miracle solution; it all depends on how it is used. Understanding these issues, without technophobia or fascination, helps parents, students, and teachers use it wisely. Let’s see how AI is entering education, its opportunities and risks, and how to use it intelligently to learn.

AI in education: what are we talking about?

Let’s first understand what AI in education encompasses, without caricature. A NOTABLE entry: AI (especially generative AIs that produce text) is making a rapid and notable entry into education; students, teachers, and applications are adopting it; a major and recent phenomenon; to understand. STUDENTS use it: students use AI for their homework (asking questions, writing, summarizing, understanding); a widespread use, sometimes unbeknownst to teachers; a reality to face; it’s here. TEACHERS too: teachers use AI to prepare lessons, exercises, save time; AI also affects the teaching profession; a professional use; on both sides. EDUCATIONAL applications: applications offer academic support, personalized support via AI; AI integrates into educational tools; a growing offer; a market. What AI CAN do: explain, answer questions, help write, summarize, generate exercises, adapt to the level; useful capabilities for learning; real potential; to be exploited. What AI DOES NOT do: AI does not « understand » like a human, can make mistakes, does not replace real learning or human connection; its limits are real; don’t overestimate it (we’ll come back to this). A TOOL, not a teacher: AI is a tool, not a teacher (it has no human pedagogy, no relationship, no judgment of the student); a complement, not a replacement; keep the measure. An ESTABLISHED reality: whether we like it or not, AI has entered education and will stay; the question is not to ignore it but to use it well; let’s adapt; it’s a fact. A SOCIETAL issue: AI in education raises societal questions (learning, equality, skills, cheating); an important debate; let’s approach it calmly; some perspective. Neither fascination nor PHOBIA: neither blindly marveling nor demonizing; AI in education has its pros and cons depending on the use; nuance from the start; discernment. The main idea: artificial intelligence—especially generative AIs, which produce text—is making a rapid and notable entry into education. STUDENTS use it for their homework (asking questions, understanding, writing, summarizing), sometimes unbeknownst to teachers; TEACHERS use it to prepare lessons and exercises; and EDUCATIONAL applications offer academic support and personalized support via AI. AI CAN do useful things for learning: explain, answer, help write, summarize, generate exercises, adapt to the level. But it has real LIMITS: it does not « understand » like a human, can make mistakes, and does not replace real learning or human connection. It’s a TOOL, not a teacher (no human pedagogy or relationship). One thing is certain: whether we like it or not, AI has entered education and will stay—the real question is therefore not to ignore it, but to know how to use it well, without blind fascination or technophobia.

Opportunities and risks: a nuanced reality

AI in education has both positive and negative aspects; let’s look at them honestly. On the OPPORTUNITIES side—a SUPPORT that is ACCESSIBLE: AI can offer academic support accessible at any time (ask a question, get an explanation), where a private tutor is expensive; possible democratization; a benefit of access. PERSONALIZED help: AI can adapt to the student’s level and pace (re-explain differently, suggest adapted exercises); useful personalization; pedagogical potential. Explain DIFFERENTLY: when a student doesn’t understand, AI can re-explain differently, with patience, without judgment; useful for unblocking; support for understanding. Time SAVING (teachers): AI helps teachers prepare materials, save time on repetitive tasks, focus on the human aspect; a professional benefit; time freed up. Explore and OPEN UP: AI can help explore a subject, open up to ideas, as a starting point; a discovery tool; provided you verify; a springboard. On the RISKS side—the CHEATING and lack of learning: the major risk; the student has the AI do the work without learning (copying an essay, an answer); they « submit » without learning; a real danger (we’ll come back to this). ATROPHY of effort: if AI does everything, the student no longer makes the effort that leads to learning (searching, making mistakes, thinking); learning comes through effort; a risk of atrophy; effort counts. CRITICAL thinking threatened: by relying too much on AI (which can be wrong), the student may no longer verify, think, doubt; critical thinking atrophies; a risk; consult our guides on critical thinking. AI’s ERRORS: AI can give false information (with confidence); a student who blindly believes it learns errors; a risk of misinformation; always verify. FUNDAMENTAL skills: if AI writes, calculates, summarizes for the student, what happens to writing, calculation, composition? a risk for basic skills; the issue of fundamentals; vigilance. POSSIBLE inequality: access to and proper use of AI can widen inequalities (who knows how to use it well? who has access?); an issue of equality; to monitor. A NUANCED balance: AI in education therefore has real opportunities AND real risks; it all depends on the use (learning WITH AI vs. being replaced BY it); nuance again; usage decides. In summary, AI in education offers real OPPORTUNITIES—a SUPPORT accessible at any time (where a private tutor is expensive), PERSONALIZED help adapted to the student’s level and pace, the ability to EXPLAIN differently and without judgment when one doesn’t understand, time SAVING for teachers (preparing materials, focusing on the human aspect), and a tool to EXPLORE a subject. But also real RISKS: CHEATING and lack of learning (the student has the AI do the work without learning anything—the major danger), ATROPHY of EFFORT that actually leads to learning (searching, making mistakes, thinking), the threat to CRITICAL THINKING (relying too much on an AI that can be wrong), AI’s ERRORS (false information given with confidence), the risk to FUNDAMENTAL skills (writing, calculation, composition), and possible widening of INEQUALITIES. The balance is therefore NUANCED, and everything depends on USAGE: learning WITH AI (as a help) or being replaced BY it (without learning) makes all the difference.

The right question: AI should help to learn, not learn in the student’s place. Faced with AI in education, the central question is not « for or against? » but « HOW to use it so that it serves learning? » And the principle that should guide any use is simple and clear: AI should HELP to learn, never learn IN THE STUDENT’S PLACE. This distinction changes everything. The same tool can be excellent or disastrous depending on whether it is used to UNDERSTAND or to AVOID understanding. Let’s take concrete examples. GOOD usage: a student stuck on an exercise asks AI to EXPLAIN the concept, rephrase it differently, give a similar example—then they do the exercise THEMSELVES. Here, AI plays the role of a patient tutor who unblocks understanding; the student learns. BAD usage: the same student asks AI for the ANSWER, copies it, and submits it without thinking. Here, they have learned nothing (worse, they think they have « done » their work); AI has learned in their place. The golden rule: use AI to UNDERSTAND, not to AVOID effort. Concretely, a few principles for good use. First, AI as a HELP for understanding, not as a response distributor: ask it to explain, rephrase, give examples, verify your reasoning—then do the work yourself. Then, keep the EFFORT: it’s by searching, making mistakes, thinking that one learns; don’t let AI deprive you of this formative effort. Then, ALWAYS VERIFY: AI makes mistakes; don’t believe it blindly, cross-check, exercise your critical thinking (it’s even a good exercise: spotting its mistakes). Then, AI as a STARTING POINT, not an endpoint: use it to explore, get started, then deepen on your own. Finally, TRANSPARENCY: honest use of AI (saying you used it, using it within the authorized framework) is better than hidden use to cheat. For parents and teachers, the role is to ACCOMPANY this use: explain the difference between helping and cheating, value effort and understanding (not just the submitted result), and educate about critical thinking in the face of AI. In summary, the right question is not « AI: for or against? » but « how? » AI should HELP to learn (explain, rephrase, unblock, help explore, verify reasoning—then the student does the work themselves), and never learn IN THE STUDENT’S PLACE (give the answer to copy without thinking). Use it to UNDERSTAND and not to bypass the effort that leads to learning, ALWAYS VERIFY what it says, treat it as a starting point, and prefer transparent and honest use. Well used, AI can be a formidable tutor; poorly used, a trap that prevents learning. All the difference is in the use.

Using AI to learn: guidelines

Here are concrete guidelines for students, parents, and teachers in the face of AI. For the STUDENT—AI as a tutor: use AI to understand (explain, rephrase, examples), then do the work yourself; it helps you learn, not in your place; a tutor, not a ghostwriter. Keep the EFFORT: search, think, make mistakes first on your own; effort leads to learning; AI comes as support, not a substitute; push yourself first. VERIFY AI: never believe AI blindly (it makes mistakes); verify, cross-check, doubt; exercise your critical thinking; always verify. Be HONEST: use AI in an honest way and within the authorized framework (don’t cheat); transparency is better than hidden cheating; play fair. For the PARENT—accompany: explain to your child the difference between using AI to help and cheating; value effort and understanding; accompany the use; dialogue. Take an interest in USAGE: take an interest in how your child uses AI (to understand or to avoid?); dialogue rather than prohibition alone; understand their use; guide. Educate about CRITICAL thinking: teach them to verify, doubt, not believe everything from AI; critical thinking is more crucial than ever; educate to discern; a key skill. For the TEACHER—adapt: AI pushes to rethink certain practices (evaluations, homework); adapt rather than suffer; an evolution of the profession; innovate. Use AI yourself: AI can help the teacher (prepare, save time); a professional tool; to appropriate; a gain. For ALL—keep the human: AI does not replace the teacher, the connection, or real learning; the human remains central in education; AI is a tool at the service of the human; priority to the human. TRAIN in AI: understanding AI (its strengths, its limits, its risks) has become a skill; students and adults alike benefit from training; consult our guides on AI; train. In summary, to use AI to learn, everyone has guidelines. The STUDENT: use AI as a TUTOR (understand, then do the work yourself), keep the EFFORT that leads to learning, VERIFY everything it says (it makes mistakes), and stay HONEST (no cheating, use within the authorized framework). The PARENT: accompany (explain the difference between helping and cheating, value effort and understanding rather than just the result), take an interest in the actual use, and educate about CRITICAL THINKING (verify, doubt). The TEACHER: adapt practices (evaluations, homework) rather than suffer, and appropriate AI as a professional tool. And for ALL: keep the HUMAN at the center (AI does not replace the teacher, the connection, or real learning), and TRAIN in AI (understanding its strengths, limits, and risks has become an essential skill). These guidelines allow making AI an ally of learning rather than an obstacle: it’s all about enlightened use.

Warning: AI makes mistakes (always verify), it does not replace real learning, and using it to cheat backfires on the student. Three essential warnings for a lucid use of AI in education. First warning: AI MAKES MISTAKES, often with confidence. This is perhaps the most important point to make clear to a student. Generative AIs produce answers that SEEM sure, fluid, convincing—but which can be partially or totally FALSE. AI can invent facts, dates, references, erroneous reasoning, all while presenting them with the same confidence as a correct answer. A student who blindly believes AI therefore potentially learns ERRORS, and reproduces them. The rule is absolute: ALWAYS VERIFY what AI says, cross-check with reliable sources (textbook, teacher, serious sources), and never take its answer at face value. Paradoxically, this can become an excellent exercise in critical thinking: learning to spot AI’s errors sharpens judgment. Second warning: AI does NOT REPLACE real learning. One learns by making an EFFORT: by searching, making mistakes, thinking, practicing, memorizing. If AI does all this work in the student’s place, they may get a « result » (an essay, an answer) but have learned NOTHING— they have even lost the opportunity to learn. This is an insidious trap: the student thinks they have « done » their homework when they have only delegated. FUNDAMENTAL skills (writing, calculating, composing, arguing, memorizing) only develop through personal exercise: make sure AI does not deprive the student of this formative exercise. AI should support effort, not suppress it. Third warning: using AI to CHEAT backfires on the student. A student who has AI write their homework and submit it as their own is cheating—but above all, they are fooling themselves. The consequences are multiple: they do not learn (and this will be felt in exams, in class, in life), they take a risk (teachers are increasingly able to detect these uses, with sanctions to follow), and they do not develop the skills they will need. Cheating with AI can give a good grade in the short term, but it sabotages real learning: it’s a fool’s bargain. Better a flawed but personal work (from which one learns) than a perfect but borrowed work (from which one learns nothing). The message to convey to students: cheating with AI is above all stealing one’s own learning. In summary, three vigilances: AI MAKES MISTAKES with confidence (verify and cross-check always; never believe it blindly), it does NOT REPLACE real learning (which comes through personal effort: don’t let AI deprive the student of the exercise that leads to learning, nor of fundamental skills), and using it to CHEAT backfires on the student (who learns nothing, takes a risk, and steals their own learning). Well understood, these warnings do not condemn AI: they remind that its good use—helping to learn, never replacing learning—is the condition for it to truly serve the student.

Frequent questions

My child uses AI for their homework: is it serious?

It depends on HOW they use it: using it to understand (then do the work themselves) is beneficial, using it to copy answers without thinking prevents learning; the essential is to accompany the use rather than prohibit it outright. Let’s see. It depends on the USAGE: it’s not « serious » or « not serious » in itself; it all depends on how they use AI (to understand or to avoid understanding); usage decides; observe before judging. GOOD usage: if they use it to have a concept explained, unblock, verify, then do the work themselves: it’s beneficial (a patient tutor); encourage this use; positive. BAD usage: if they copy AI’s answers without thinking and submit them: they learn nothing (and cheat); there, it’s problematic; to correct; the real issue. DIALOGUE, not prohibit: rather than prohibiting outright (often ineffective, AI is everywhere), dialogue about good use; explain the difference between helping and cheating; accompany; guide. Value EFFORT: value effort and understanding, not just the grade or the submitted homework; show that what counts is learning; refocus on learning; the meaning. Educate about VERIFYING: teach them that AI makes mistakes; they must verify, doubt; critical thinking in the face of AI is crucial; educate to discern; a skill. Take a CONCRETE interest: ask them to show you how they use it; understand their actual use; adjust according to what you see; get involved. A TOOL of their time: AI is part of their world; learning to use it well is a useful skill for their future; better to accompany than ignore; prepare them. The ADVICE: it’s not serious in itself; it all depends on the use; using AI to understand (then work on your own) is good, copying without thinking is bad; accompany, dialogue, value effort, and educate about verifying rather than prohibiting outright. In summary, the fact that your child uses AI for their homework is neither « serious » nor « trivial » in itself: it all depends on HOW they use it. If they use it to have a concept EXPLAINED that they don’t understand, unblock an exercise, verify their reasoning—then do the work THEMSELVES—it’s beneficial: AI plays the role of a patient tutor and helps them learn. If, on the other hand, they COPY AI’s answers without thinking and submit them as their own, it’s problematic: they learn nothing (and they cheat). The right attitude is not to PROHIBIT outright (often ineffective: AI is now everywhere, they will find it elsewhere), but to ACCOMPANY. Concretely: DIALOGUE with them about good use (clearly explain the difference between helping and cheating), VALUE effort and understanding rather than just the grade or the submitted homework (show that what counts is learning), EDUCATE them to verify what AI says (it makes mistakes; critical thinking is crucial), and TAKE a concrete interest in their use (ask them to show you how they use it). Keep in mind that AI is part of their world: learning to use it well is a useful skill for their future. Better to accompany them towards intelligent use than to ignore or prohibit it in vain.

Will AI make students less intelligent or less autonomous?

Not necessarily, but the risk exists if it is misused: by delegating too much effort and reflection to AI, one can atrophy certain skills; well used, on the other hand, it can support learning—once again, it all depends on the use. Let’s look without catastrophizing. NOT necessarily: AI does not make one « inevitably » less intelligent; it’s not automatic; it depends on the use; let’s nuance the catastrophism. But a REAL risk: the risk exists if AI is misused; by delegating everything to it (reflection, effort), one can atrophy skills; a danger to take seriously; vigilance. The effort that MAKES one learn: one develops intelligence by thinking, searching, making mistakes; if AI does that in our place, we no longer exercise these abilities; effort is formative; don’t suppress it. The risk of DEPENDENCE: by relying too much on AI, one can lose autonomy (no longer knowing how to do it alone); a risk of autonomy; keep the ability to do without; stay autonomous. An analogy: the CALCULATOR: just as the calculator did not make one « stupid » (well used), AI can be a tool without atrophying—PROVIDED one keeps the fundamentals and good use; the tool is not the problem, the use is. Well used, a SUPPORT: well used (help to understand, to explore), AI can on the contrary support learning, open doors; positive potential; it can help. Keep the FUNDAMENTALS: the challenge is to keep fundamental skills (reading, writing, calculating, thinking) and critical thinking; AI in addition, not in place; preserve the basics; the essential. CRITICAL thinking key: in the face of AI, critical thinking becomes MORE crucial (verify, doubt, judge); developing it protects from atrophy; educate it; a skill for the future. A matter of EDUCATION: whether AI helps or atrophies depends on education about its use; hence the importance of accompanying, educating; the human guides the tool; educate well. The ADVICE: not necessarily less intelligent, but the risk exists if AI is misused (delegation of effort, dependence, atrophy); well used, it can support learning; the challenge is to keep the fundamentals and critical thinking—it all depends on the use and education. In summary, no, AI will not make students « inevitably » less intelligent or less autonomous—but the RISK is real if it is misused. The danger: one develops intelligence and autonomy by making an EFFORT (thinking, searching, making mistakes, practicing); if AI does all this work in the student’s place, they no longer exercise these abilities and risk a form of ATROPHY and DEPENDENCE (no longer knowing how to do it alone). This risk is real and to be taken seriously. But it is not automatic, and an analogy sheds light on the debate: the CALCULATOR did not make people « stupid »—well used, and provided one keeps the fundamentals (knowing how to calculate mentally, understanding what one is doing), it is a precious tool. The same can be true for AI: the problem is not the tool, but the USE one makes of it. Well used (to understand, explore, be supported), AI can on the contrary promote learning. The central challenge is therefore to KEEP fundamental skills (reading, writing, calculating, thinking) and above all CRITICAL THINKING, which becomes more crucial than ever in the face of AI (verify, doubt, judge)—AI must come IN ADDITION to these skills, never in their place. At the bottom, whether AI helps or atrophies largely depends on EDUCATION about its use: it is by accompanying students towards intelligent and critical use that we will make AI a support rather than a handicap.

How can teachers adapt to the arrival of AI?

By rethinking certain practices (evaluations, homework) rather than fighting in vain, by educating students about good use and critical thinking, and by appropriating AI themselves as a tool: adapting is more effective than prohibiting what is now everywhere. Let’s see some paths. Not FIGHTING in vain: purely prohibiting AI (everywhere, sometimes undetectable) is often futile; better to adapt than wage a lost battle; realism; adapt. RETHINK evaluations: AI pushes to rethink certain evaluations (more oral, in-class work, on-the-spot reflection, subjects that AI does poorly); adapt the methods; innovate in evaluation. RETHINK homework: rethink homework (which AI can do); favor what requires personal reflection, or integrate AI in an assumed way; adapt the tasks; adjust. EDUCATE about good use: teach students the good use of AI (helping vs. cheating), critical thinking in the face of it; a new educational mission; train them; a key role. APPROPRIATE AI: use AI yourself (prepare lessons, exercises, save time); a professional tool that can help; appropriate it; a gain. INTEGRATE AI in class: some integrate AI into activities (use it then criticize its productions, compare); make it an object of learning; a pedagogical path; innovate. Value what AI DOES NOT do: refocus on what makes the value of the human (relationship, debate, creation, critical thinking, deep reflection); the irreplaceable; focus on the human. TRAIN: train in AI (understand its strengths, limits); one teaches better with what one understands; consult our guides and resources; gain skills. SHARE with peers: exchange with your colleagues about practices in the face of AI; collective intelligence helps to adapt; share good ideas; move forward together. The ADVICE: teachers adapt by rethinking evaluations and homework (rather than prohibiting in vain), by educating students about good use and critical thinking, by appropriating AI as a tool, and by valuing what AI does not do (the human); training and exchanging with peers help. In summary, teachers can adapt to the arrival of AI through several paths, more effective than fighting in vain (prohibiting a technology now everywhere, and sometimes undetectable, is often a lost battle). First, RETHINK certain practices: EVALUATIONS (favor oral, in-class work, on-the-spot reflection, subjects that AI handles poorly) and HOMEWORK (favor what requires personal reflection, or integrate AI in an assumed way in the instructions). Then, EDUCATE students about the good use of AI (distinguish helping and cheating) and critical thinking in the face of it: a new and essential educational mission. Then, APPROPRIATE AI as a professional tool (prepare lessons and exercises, save time on repetitive tasks to focus on the human), and why not INTEGRATE it in class as an object of learning (have AI produce then criticize its results, compare, spot its errors). Finally, VALUE what AI cannot do—the relationship, debate, creation, deep reflection, critical thinking—because that is where the irreplaceable value of the teacher lies. For all this, two supports: TRAIN in AI (one teaches better with what one understands) and EXCHANGE with peers (collective intelligence helps enormously to find good practices). Adapt, educate, and appropriate the tool: here is a much more fruitful response than prohibition, to make AI an opportunity rather than a threat for teaching.

What to remember

Artificial intelligence, especially generative AIs, has entered education and will stay: students use it for their homework, teachers for preparing their lessons, and applications offer academic support. The real question is therefore not to ignore or prohibit it, but to know how to use it WELL—without blind fascination or technophobia. Because the reality is NUANCED: AI in education has real OPPORTUNITIES (accessible support at any time, personalized help adapted to the level, the ability to explain differently without judgment, time saving for teachers) and real RISKS (cheating and lack of learning, atrophy of the effort that leads to learning, the threat to critical thinking, AI’s errors, the risk to fundamental skills, the widening of inequalities). The principle that should guide everything: AI should HELP to learn, never learn IN THE STUDENT’S PLACE. The same tool is excellent or disastrous depending on whether it is used to UNDERSTAND (have it explain, unblock, verify one’s reasoning, then do the work oneself) or to BYPASS effort (copy an answer without thinking). Three warnings: AI MAKES MISTAKES with confidence (verify and cross-check always; it’s also a good exercise in critical thinking), it does NOT REPLACE real learning (which comes through personal effort and develops fundamental skills), and CHEATING with it backfires on the student (who learns nothing and steals their own learning). For each: the STUDENT uses AI as a tutor (understand then work on their own), keeps the effort, verifies, and remains honest; the PARENT accompanies (explains the difference between helping and cheating, values effort and understanding, educates about critical thinking) rather than prohibiting outright; the TEACHER adapts (rethinks evaluations and homework, educates about good use, appropriates AI as a tool, values the irreplaceable human). And for all: keep the HUMAN at the center (AI does not replace the teacher, the connection, or real learning) and TRAIN in AI (understanding its strengths, limits, and risks has become a skill). In short, AI in education is neither a catastrophe nor a miracle solution: well used, it can be a formidable tutor; poorly used, a trap that prevents learning. All the difference is in the use—and in the education about this use.