AI in Education: How Artificial Intelligence is Transforming Education in Brazil and the World

One thing is impressive:84% of Brazilian students have already used artificial intelligenceat some point during their studies, according to research by Fundacao Itau published in 2025. We are not talking about a distant future -- AI is already in classrooms, libraries, bedrooms where students study at night and offices where teachers plan their classes.

But the presence of AI in education goes far beyond students using ChatGPT to do work. Virtual tutors that adapt to each student's pace, systems that correct essays in seconds with detailed feedback, algorithms that predict which students are about to drop out of school, and platforms that make content accessible to people with disabilities -- these applications are fundamentally transforming how we teach and learn.

In this article, we will explore the complete panorama of AI in education: what already works, how Brazil is positioning itself, what the real risks are and where we are heading. If you are a teacher, educational manager, student or simply want to understand this transformation, this guide is for you.

1. The panorama of AI in education in 2026

The global market for AI in education reached US$25 billion in 2026 and is expected to exceed US$80 billion by 2030. But the numbers don't tell the full story. What has really changed and thenature of learning.

For centuries, education followed a basically the same model: a teacher transmits knowledge to a group of students, all at the same pace, with the same content. This model was efficient in scaling literacy, but it ignores an obvious reality -- each person learns differently, at different paces, with different difficulties.

AI finally makes viable what pedagogues have always known to be ideal:personalized teaching at scale. A private human tutor is the most effective method of teaching (Benjamin Bloom's famous "2 sigma problem" showed that students with one-on-one tutoring are 2 standard deviations above the mean). But it is economically impossible to provide a tutor for each student. AI changes this equation.

The main areas of application of AI in education include:

• Adaptive tutoring:systems that adjust content, pace and method to each student’s profile
• Automated assessment:correction of texts, tests and assignments with instant and detailed feedback
• Teacher assistance:lesson planning, exercise generation, performance reports
• Accessibility:automatic subtitles, real-time translation, intelligent screen reading
• Predictive analytics:early identification of students at risk of dropping out or failing
• Smart gamification:systems that adapt challenges and rewards to each student’s engagement
• Academic research:literature review, data analysis and assistance with scientific writing

Let's explore each of these areas in depth.

2. Adaptive Tutors: Personalized Learning for Each Student

Adaptive tutoring is the most transformative application of AI in education. The concept is simple: instead of all students following the same path, each one has a personalized path that adjusts in real time based on their performance, difficulties and learning style.

Khan Academy and Khanmigo

Khan Academy, one of the largest educational platforms in the world (free and with content in Portuguese), launched theKhanmigo-- an AI tutor integrated into the entire platform. Khanmigo doesn't give ready answers. It asks questions, guides reasoning and adapts to what the student knows and does not know.

In practice, it works like this: a student is learning quadratic equations. He misses an exercise. Instead of showing the answer, Khanmigo asks: "Where do you think you went wrong? Do you remember how to calculate the discriminant?" If the student doesn't remember, Khanmigo goes back and explains the concept in a different way than the original explanation -- perhaps with a visual example, perhaps with an analogy.

The initial results are promising. Khan Academy studies show that students using Khanmigo have had14% improvement on standardized testscompared to students using the platform without AI. Most impressive: the improvement was greatest among students with previous difficulties -- exactly those who most need individualized attention.

How an adaptive tutor works

Behind the scenes, an adaptive AI tutor does something no human teacher can do with 30 students simultaneously:

• Models student knowledge:creates an individual "skills map", identifying what the student has mastered, what they partially know and what they don't know
• Identifies prerequisite gaps:If a student makes a mistake in algebra, the system checks whether the real problem is in basic arithmetic and automatically goes back
• Adjust difficulty on the fly:very easy exercises are boring; very difficult, frustrating. AI keeps the learner in the "zone of proximal development" -- challenged but not overwhelmed
• Format varies:Some students learn better with text, others with video, others with practical exercises. The tutor adjusts the presentation format
• Provides immediate feedback:Don't wait for the test at the end of the month. The student knows whether he was right or wrong in seconds and receives a specific explanation of the error

3. The teacher assisted by AI: planning, correction and reports

While AI tutors help students, another category of tools helpsteachers. And here the practical impact is enormous, because teachers spend an absurd portion of their time on administrative tasks.

Research shows that Brazilian teachers spend, on average,only 65% ​​of your working time actually teaching. The other 35% goes to planning, correction, filling out documents, reports and bureaucratic meetings. AI can give you back much of that time.

Automated essay correction

Correcting essays is one of the most time-consuming and subjective tasks in teaching. A Portuguese teacher with 5 classes of 35 students needs to correct 175 essays -- each one taking 5 to 10 minutes. It takes up to 29 hours of work for a single round of essays.

AI systems such as Letrus, Redacao Note and tools based on language models can:

• Evaluate specific skills (cohesion, coherence, argumentation, intervention proposal -- the 5 ENEM skills)
• Identify grammatical and spelling errors with explanation of the rule
• Give personalized feedback on structure and development of arguments
• Detect snippets with low originality or possibly generated by AI
• Suggest specific improvements with examples

The teacher is not eliminated from the process -- he reviews the AI ​​assessment, adjusts grades when necessary, and adds personal feedback. But the correction time drops from 10 minutes to 2-3 minutes per essay. At scale, this frees up dozens of hours per month for what really matters:to teach.

Assisted lesson planning

Teachers use AI to generate lesson plans aligned with the BNCC (National Common Curricular Base), create varied exercises on the same topic at different levels of difficulty, produce personalized support material for students with specific difficulties and generate test questions that assess different skills.

A history teacher may ask: "Create a lesson plan on the Industrial Revolution for 9th grade, aligned with the BNCC, with practical group activity and formative assessment." The AI ​​generates a complete plan in seconds that the teacher adapts to his reality.

Reports and monitoring

Integrated AI systems analyze performance data from the entire class and generate automatic reports: which students are below average in which skills, how the class is progressing in relation to the two-month goals, which topics need to be reinforced. For school managers, this is gold -- decisions based on data rather than intuition.

4. Language learning: Duolingo Max is the new generation

Language teaching is one of the areas where AI has had the greatest practical impact, and Duolingo is the most emblematic case.

Duolingo Max: conversation with AI

Duolingo Max has introduced two AI-powered features that fundamentally change the language learning experience:

• Roleplay:the student talks to an AI character in real situations (ordering food in a restaurant, checking in at a hotel, negotiating a price in a store). The AI ​​adapts to the student's level, simplifying or complicating the conversation as needed
• Explain My Answer:when the student makes a mistake, instead of just showing the correct answer, the AI ​​explainswhygot it wrong and which grammar rule applies, with additional examples

The result is that students can finally practice speaking -- the most difficult skill to develop without a native speaker -- without leaving home and without spending money on private lessons.

Beyond Duolingo

Other platforms are also innovating. THESpeak(focused on Korean, Japanese and Spanish) uses AI to evaluate pronunciation in real time, correcting individual phonemes. THEElsa Speakdoes the same for English, with 95% accuracy in detecting pronunciation errors. THEBusuucombines adaptive AI with corrections from human native speakers.

For the Brazilian context, where teaching English in public schools historically produces unsatisfactory results, these tools represent a real opportunity. A student with a smartphone and internet access can practice speaking English every day, for free or at a very low cost, with personalized feedback that many schools are unable to offer.

5. Accessibility: AI breaking barriers in education

One of the noblest applications of AI in education and accessibility. For millions of students with disabilities, AI is eliminating barriers that have existed for decades.

For students with visual impairment

• Smart Screen Readers:Tools like Seeing AI (Microsoft) describe images, graphs and diagrams in teaching materials, something that traditional screen readers cannot do
• Converting mathematical formulas:AI converts visual equations into understandable sound descriptions, making STEM accessible to the blind
• Description of educational videos:AI-generated automatic audio description for video classes

For deaf and hard of hearing students

• Real-time automatic subtitles:Google Meet, Zoom and Teams already generate subtitles in Portuguese with AI, making online classes accessible. Accuracy for Brazilian Portuguese is above 92%
• Translation into Libras:Brazilian startups like Hand Talk use AI to translate written and spoken content into Libras, with a 3D avatar that signals in real time
• Class transcription:Automatically transcribed class recordings, allowing deaf students to follow the content at their own pace

For students with dyslexia and ADHD

• Adaptive fonts and layouts:AI automatically adjusts text format (font, spacing, size, background color) to make it easier for people with dyslexia to read
• Smart Summaries:Long content is summarized in key points, especially useful for students with ADHD who have difficulty with long texts
• Natural reading aloud:AI voice synthesis that sounds natural (not robotic), helping students who learn better by listening than reading
• Reminders and structuring:AI assistants that help students with ADHD organize assignments, deadlines, and study materials

For Brazil, where school inclusion is law but practice still faces enormous infrastructure and training challenges, AI tools represent a leap forward. A deaf student at a public school in the interior of the country who does not have a Libras interpreter can follow video classes subtitled by AI. A blind student can access teaching material described by AI instead of relying on volunteers to transcribe it into Braille.

6. Smart gamification and engagement

Gamification in education is nothing new -- points, medals and rankings have existed for years on platforms like Duolingo and Khan Academy. What new has AI brought andadaptive gamification: systems that adjust the gaming experience to the psychological and behavioral profile of each student.

How gamification with AI works

Different students are motivated by different things. Some are competitive and respond well to rankings. Others are collaborative and prefer group challenges. Some like to collect achievements. Others want to explore content freely.

AI gamification systems identify each student’s motivational profile based on their behavior patterns and adjust:

• Difficulty of challenges:neither so easy that it gets boring, nor so difficult that it frustrates -- the AI ​​keeps the student in a state of "flow"
• Reward Type:competitive points for competitive students, collaboration badges for cooperatives, bonus content for explorers
• Progression rhythm:black students advance faster; students who need more time are not penalized
• Narrative:Yes, some platforms create personalized stories where the student is the protagonist, with educational challenges integrated into the narrative

Platforms likeClasscraft e Kahoot!They already use AI elements to personalize the experience. Kahoot!, which has over 9 billion cumulative participants globally, uses AI to recommend quizzes based on past performance and adjust question difficulty in real time.

Measured results

Studies on adaptive gamification in education show consistent results:23% increase in study time, an 18% reduction in the dropout rate in online courses and a 12% improvement in final grades. The gains are greater in students who previously had low engagement -- exactly those that traditional education has the most difficulty reaching.

7. Predictive analysis of school dropout

School dropout is one of the biggest educational problems in Brazil. According to INEP data,more than 600 thousand students will drop out of high school in 2024. Every student who drops out of school loses years of potential and increases social inequality. What if we could predict who will evade before it happens?

How AI predicts evasion

Predictive algorithms analyze dozens of variables associated with the risk of evasion:

• Frequency:absence patterns (increasing absences, absences concentrated on specific days)
• Performance:progressive drop in grades, failures in specific subjects
• Engagement:participation in activities, interaction with the digital platform, delivery of work
• Socioeconomic profile:distance from school, family income, need to work
• Behavior:disciplinary incidents, changes in behavior detected by teachers
• Family history:siblings who dropped out, educational level of parents

The system does not wait for the student to disappear. Weeks or months before, it generates arisk alertfor the pedagogical team, which can intervene proactively: talk to the student, contact the family, offer specific support (tutoring, psychological support, flexible working hours).

Success stories

The city ofSobral (CE), a national reference in basic education, uses monitoring systems with AI elements to monitor student attendance and performance in real time. The municipality has one of the lowest dropout rates in the country.

In the USA, theGeorgia State Universityreduced university dropout rates by 22% using an AI system that monitors more than 800 variables per student and generates alerts when it detects risk patterns. The system is especially effective with first-generation college students (children of parents without a college degree), who historically have higher dropout rates.

Brazilian universities such asUNIVESP(Virtual University of São Paulo) use predictive models to identify distance learning students at risk of dropping out and offer personalized support, reducing dropout rates in distance learning courses -- a chronic problem in Brazilian higher education.

8. AI in Brazilian education: MEC, universities and EdTechs

Brazil has a surprisingly vibrant AI ecosystem in education, with government initiatives, cutting-edge universities and innovative startups.

MEC and public policies

The Ministry of Education launched in 2025 theNational Digital Education Plan, which includes specific guidelines for AI in education:

• Teacher training:AI training program for public school teachers, with a goal of reaching 500,000 teachers by 2028
• Connectivity:expansion of the internet program in schools, a prerequisite for any AI tool to work
• Ethical guidelines:Guiding document on responsible use of AI in schools, addressing issues such as minors' data privacy, algorithmic bias and transparency
• Public-private partnerships:framework for technology companies to offer AI tools to public schools with special conditions

Implementation, as always in Brazil, faces budget and bureaucracy challenges. But the political signal is important: AI in education has officially entered the federal agenda.

Universities at the forefront

A USPThere is NIED (Nucleus for Informatics Applied to Education) which has been researching intelligent tutors and adaptive systems for more than a decade. The university also uses AI internally to analyze academic performance and predict dropouts.

A UNICAMPdevelops research in natural language processing applied to the evaluation of texts in Portuguese. Its automatic essay correction models are among the most advanced for Brazilian Portuguese.

A UFMGleads research in educational data mining and learning analytics, with projects that analyze data from SiSU and ENEM to identify patterns of academic success and failure.

A PUC-Riohas a postgraduate program in Information Technology in Education that researches adaptive gamification and virtual learning environments with AI.

Brazilian EdTechs

Brazil has an ecosystem of EdTechs (educational technology startups) that rivals much larger markets:

Platform	What do you do with AI?	Public
Uncomplicated	Adaptive tutoring, personalized exercises, essay correction	Secondary education and university entrance exams
Letrus	Automatic correction of essays with detailed feedback	Public and private schools
Geekie	Adaptive platform that personalizes content per student	High school
Qranio	Smart quiz with gamification and adaptive AI	corporate education
Revelo	AI for matching between technology students and companies	Higher education and market
Hand Talk	Automatic translation into Libras with 3D avatar	Accessibility

Many of these platforms serve public education networks. Letrus, for example, is already used in more than 3,000 public schools to correct essays. Geekie was adopted by entire state networks to personalize learning in high school.

9. Challenges: plagiarism, dependence and digital inequality

AI in education is not just an opportunity -- it brings real challenges that educators, managers and policymakers need to face head-on.

Plagiarism and academic integrity

This is the elephant in the room. With tools like ChatGPT, Claude andGemini, any student can generate a complete academic work in minutes. The question every teacher asks: "How do I know if the student really wrote this?"

AI-generated text detectors (like Turnitin, GPTZero, and Originality.ai) exist, butare not trustworthy enough. False positive rates range from 5% to 20% -- that is, human-written text being incorrectly marked as AI. This creates a serious problem: unfairly accusing a student of plagiarism can be just as damaging as failing to detect actual plagiarism.

The approach that is gaining consensus among educators andredesign reviewsInstead of trying to police the use of AI:

• Procedural assessments:evaluate the creation process, not just the result. Ask the student to show drafts, notes and progress of work
• Oral defenses:the student presents and defends their work. Those who do not master the content cannot answer in-depth questions
• Practical projects:activities that require real application, interaction with the physical world or production of something tangible
• Transparent Usage:allow and even encourage the use of AI, requiring the student to document how they used it, what they modified and what they learned in the process
• Classroom assessment:In-person written tests, without access to devices, for skills that require memorization and reasoning

Addiction and cognitive atrophy

A less discussed but equally important risk is thecognitive dependence. If the student always asks the AI ​​to solve problems, does he develop the ability to solve problems on his own? If AI always corrects your text, does it learn to write well?

The calculator analogy is useful, but imperfect. The calculator automated mechanical arithmetic operations, freeing up cognitive capacity for more complex mathematical concepts. AI automates higher-level cognitive tasks -- reasoning, synthesis, argumentation. If these skills are fully outsourced, the risk of atrophy is real.

The solution is not to ban AI, but to teach itcritical use. Just as teaching how to drive does not exclude knowing how to walk, teaching how to use AI should not exclude knowing how to think without it. Educators are developing “AI literacy” frameworks that teach students to:

• Formulate good questions (basic prompt engineering)
• Critically evaluate AI responses (AI makes mistakes, and the student needs to know how to identify errors)
• Use AI as a starting point, not an end point
• Knowing when to use AI and when to solve without it

Digital inequality

This is perhaps the most serious challenge in the Brazilian context. AI tools in education generally require:

• Device (computer, tablet or smartphone)
• Stable internet connection
• Basic digital literacy

According to IBGE,36 million Braziliansdoes not yet have access to the internet. In rural public schools, the situation is even more critical. If AI accelerates the learning of those who already have access and leaves behind those who don't, educational inequality -- which is already huge in Brazil -- willincrease.

Therefore, any AI policy in education needs to be accompanied by investment in infrastructure: internet in schools, devices for low-income students and teacher training. AI without the internet is like a car without a road -- the technology exists, but it's useless.

10. The future of the AI ​​classroom

What will the educational experience be like in 2030? Based on current trends, we can project a very concrete scenario.

The teacher of the future

The teacher will not disappear -- but his role changes fundamentally. Instead of being the main transmitter of information (AI does this better, at scale and personalized), the teacher becomes:

• Mentor:monitors the individual development of each student, identifies emotional and motivational needs that AI does not perceive
• Facilitator:organizes collaborative activities, debates and practical projects that develop social and emotional skills
• Curator:selects and validates AI resources, adapting them to the specific context of your school community
• Ethicist:teaches students to use AI responsibly, critically and ethically

Teachers who embrace AI as a tool will becomemost valuable, no less. Just as the calculator didn't eliminate math teachers, AI won't eliminate teachers -- it will eliminate the teacher-as-lecturer model.

The smart hybrid classroom

The classroom of the near future combines face-to-face and digital elements in a fluid way:

• Theoretical content:students study at home at their own pace, with an AI tutor. Each student arrives at class having already studied, but with different levels of understanding.
• Face-to-face time:dedicated to activities that require human interaction -- debates, group projects, practical laboratories, individual mentoring
• Teacher Dashboard:AI shows the teacher, in real time, what each student has already mastered and where they have difficulty. The teacher uses this to direct your attention where it matters most
• Assessment continues:instead of bimonthly tests, constant and automatic assessment that adjusts the student's path in real time

This is not fiction -- it is essentially the "flipped classroom" model powered by AI. Reference schools in Brazil and around the world already implement versions of this model.

Lifelong learning

Perhaps the most profound change that AI brings to education is not inside the school, but outside it. In a world where skills become obsolete in 5-10 years,Continuous learning is not an option -- it's professional survival.

AI makes lifelong learning more accessible: personalized courses, at your pace, at your level, about what you need to learn for the next step in your career. Platforms like Coursera, edX and Udemy already use AI to recommend courses. The next step is the AI ​​thatcreatesthe on-demand course, specifically for you.

Imagine: you are a healthcare professional who needs to learn about AI applied to medicine. Instead of searching through thousands of courses, you say to an AI tutor: "I'm a nurse, I work in the ICU and I want to understand how AI can help me in my daily life." The AI ​​creates a personalized journey, with content relevant to ICUs, examples from your reality and practical exercises that you can apply at work the next day.

This future is already being built -- and those who understand AI today have a huge competitive advantage, regardless of their area of ​​activity.