Top 10 AI Prompts and Use Cases and in the Education Industry in Brazil

AI is already changing how students learn and how schools operate, and Brazil can't afford to treat it as optional: global research shows the AI in education market hit $7.57 billion in 2025 and AI‑enhanced active learning can yield dramatic gains - students in some studies scored 54% higher while teachers report saving up to 44% of time on planning and admin - findings summarized in Engageli's 2025 review of AI in education (Engageli 2025 AI in Education statistics).

At the same time, the Stanford HAI 2025 AI Index highlights how governments are stepping up on AI policy and investment, a reminder Brazil needs clear rules and targeted funding (Stanford HAI 2025 AI Index report).

For Brazilian educators and policymakers the priority is practical: pair responsible policy with teacher training and workplace-ready AI literacy - pathways exemplified by career-focused courses such as Nucamp's Nucamp AI Essentials for Work bootcamp, which teaches prompt writing and applied AI skills to bring personalization, faster feedback, and scalable tutoring into classrooms nationwide.

Methodology prioritized Brazilian evidence, scalability, and classroom practicality: the Top 10 and the prompt templates were chosen to reflect interventions that produced measurable learning gains in Brazil, freed teacher time for higher‑value instruction, and could be deployed in real school conditions.

Central to this approach was the J‑PAL/Letrus randomized evaluation in Espírito Santo - a large state pilot where students wrote five ENEM practice essays, received instant AI feedback, and the AI‑only model raised full essay scores by about 0.09 standard deviations while allowing teachers to discuss 35% more essays with students (J‑PAL Letrus randomized evaluation case study – AI writing feedback in Espírito Santo, Impact summary: artificial intelligence for learning in Brazil).

Selection also accounted for classroom constraints documented in Brazil - tools that work with weak connectivity and that reduce grading time were favored - and for teacher concerns about digital competence and misuse of generative tools reported in classroom studies (Teachers' perspectives on AI adoption in Brazilian schools).

Resulting prompt templates emphasize rapid, iterative feedback, teacher‑facing scaffolds to boost digital skills, and anti‑plagiarism framing so prompts support learning gains without replacing teacher judgement.

“The implementation of a writing platform for all students enrolled in their senior year of high school in our public education network reaffirms the commitment of the Government of the State of Espírito Santo, through its State Department of Education - Sedu - to continuously invest in innovative actions that positively impact the learning and future of these young people. Since 2019, this initiative has already benefited more than 60,000 students, proving to be a strong ally in promoting the development of writing and reading skills of the network's students.”

Khanmigo, Khan Academy's GPT‑powered teaching assistant, brings personalized tutoring and teacher tools that matter for Brazil: it can generate narrative‑driven math problems that meet students where they are, produce class snapshots and rubrics for busy teachers, and even be asked to respond in Portuguese so lessons fit local classrooms; schools can use Khanmigo to turn a glazed‑over algebra lesson into a short, real‑world adventure - think plotting a school fair budget as a mystery to solve - while freeing teachers from repetitive prep.

Educator resources and a Khanmigo course help districts roll out AI responsibly, and Khan Academy frames the tutor to guide rather than simply give answers. That said, independent reviews flag two practical points Brazilian implementers should note: Khanmigo is responsibly designed with safety guardrails, but current LLMs still struggle with some math accuracy, so adults should stay in the loop (Khanmigo GPT‑powered teaching assistant, Common Sense Media review of Khanmigo).

“Perhaps the most powerful use case - and perhaps the most poetic use - is if AI, artificial intelligence, can be used to enhance HI, human intelligence, human potential, and human purpose.”

Plu, the generative‑AI assistant from SOMOS Educação's Plurall platform, is built to turn teacher prep from a daily grind into an instant, classroom‑ready script - think a complete, illustrated 50‑minute lesson with activities and tailored exam questions produced in seconds - by combining SOMOS's massive content library with AWS GenAI tools like Amazon Bedrock (Plu generative AI assistant introduction at Bett Brasil 2024, Amazon Bedrock availability in Brazil (AWS Bedrock)).

Designed for both teachers and students, Plu generates summaries, bilingual content, adaptive tasks and individualized study plans using a RAG approach, and SOMOS aims to scale that support across thousands of schools - over 3,400 students tested the pilot by July 2024, while Plurall already serves more than >7 million students and 120,000 teachers across ~7,000 schools - so the practical payoff is clear: modest efficiency gains could translate into nearly a month of reclaimed planning time across the school year for busy educators.

“We believe this technology can be incredibly valuable in freeing them from time-consuming tasks… nearly 24 additional days per year”

Quizlet's Q‑Chat brings multimodal content creation to classrooms that teach Portuguese, turning static flashcard sets into interactive practice, short stories, and on‑demand quizzes that can speed revision and spark conversation - especially useful for language classes where contextualized encounters with vocabulary matter.

The beta combines Quizlet's huge content library with OpenAI's ChatGPT API to offer modes like “Quiz Me,” “Practice with sentences” (which gives corrective feedback), and a Story mode that weaves a Quizlet set into a paragraph students can discuss or finish; teachers in Brazil can use these features to generate quick warm‑ups or formative checks, but should note practical caveats: Q‑Chat is freemium (subscription options apply, e.g., roughly $35/yr or $7.99/mo noted in reviews), can be buggy in beta, and when tested with Portuguese sets the generated stories were in Portuguese while some follow‑up questions appeared in English, so adult oversight remains important (see the detailed Q‑Chat review at FLTMag and a broader Quizlet vs.

QuizCat comparison for context).

"Quizlet has invested in AI since we debuted Learn Mode in 2017 and we've seen first-hand just how beneficial AI is to help students learn"

Gradescope brings assessment automation that matters for Brazilian classrooms by letting teachers digitize paper exams, bubble sheets and handwritten responses while keeping adults firmly in the loop: its AI-assisted answer grouping suggests clusters of similar answers (with student ink shown in a blue overlay against a blank template) so instructors can grade by group and apply one rubric to dozens of identical responses, speeding feedback and improving consistency; it also supports bubble‑sheet auto‑grading, programming autograders, and student mobile uploads - practical when school scanning labs are limited.

For Brazilian deployments the platform's fixed‑template requirement and the need to confirm suggested groups are important operational notes (blank templates must match the printed exam), and Gradescope's per‑question analytics plus LMS roster/grade sync make it easier to spot class‑level misconceptions and target interventions.

In short, Gradescope can cut repetitive marking, preserve equity with anonymous and question‑first grading, and free time for live tutoring - see the Gradescope platform overview and the Gradescope AI‑Assisted Grading guide for instructors to plan rollout and formatting best practices.

“The faculty have really taken Gradescope on board and my colleagues have said it is brilliant and is making our life much easier.”

Jill Watson - Georgia Tech's long‑running virtual teaching assistant - offers a practical model for Brazilian classrooms wrestling with huge online cohorts and overworked instructors: field tests (including a 600+ student OMSCS course) show versions of Jill that integrate ChatGPT consistently answer student questions with far higher accuracy than generic assistants, boost perceived “teaching presence,” and correlate with modest grade gains, while an architecture that restricts replies to verified course material reduces harmful or confusing outputs (Georgia Tech research: Jill Watson outperforms ChatGPT in real classrooms).

The system's pipeline - curated knowledge bases, conversation memory, and retrieval+verification - means Jill can respond in seconds at any hour, handle routine logistics, and free instructors for higher‑value tutoring; importantly, the team now builds customized Jills far faster (under ten hours with Agent Smith), which makes localized pilots in Brazilian universities or large tech‑training programs feasible without enormous engineering overhead (Interview with Jill Watson's creator on AI teaching assistant development).

For Brazilian policymakers and school leaders the takeaway is concrete: a constrained, course‑grounded chatbot can scale answers, increase meaningful student questions, and serve as an always‑on triage layer - provided deployments set clear limits, verify sources, and keep humans in the loop.

“These findings demonstrate that Jill empowers learners to engage in critical questioning, thereby enhancing their educational experience.”

For Brazilian learners and schools, Duolingo Max brings GPT‑4 powered tools that turn passive drills into spoken practice and on‑demand explanations: the Explain My Answer feature gives sentence‑level feedback and the Roleplay/“Call Lily” exercises let students rehearse real‑world dialogs (ordering coffee, asking for directions) in a low‑pressure, mobile environment, while Duolingo also points to broader uses like more affordable, AI‑assisted English testing (Duolingo Max announcement - Duolingo blog).

Max is already available on iOS and Android in many countries and supports Portuguese courses, so districts and teachers in Brazil can experiment with supplemental speaking practice that scales without more classroom hours; independent testing and reviews note practical caveats - the AI chats are deliberately brief, the mobile‑only rollout and premium price (a notable step up from Super Duolingo) may limit adoption, and transcripts or explanations can still be imperfect - so human oversight and curriculum alignment remain essential (Independent review of Duolingo Max AI speaking practice).

In short: Duolingo Max is a promising, safer step toward scalable speaking practice in Brazilian classrooms, especially when paired with teacher guidance and local curriculum goals.

Kahoot! offers Brazilian teachers a low‑friction way to turn routine review into lively, collaborative practice: features like Kahootopia let students literally build an island together as they learn, multiple game modes (Color Kingdoms, Treasure Trove, Submarine Squad and more) refresh the usual quiz format, and Reports give data that helps teachers target re‑teaching and spot misconceptions - practical for large classes and ENEM prep alike.

The platform's own guidance shows five concrete tips to boost engagement and use AI to save teacher time, while broader guides on generative AI in Brazil highlight how these tools can cut prep hours if paired with clear classroom norms (Kahoot tips to supercharge student engagement, generative AI trends in Brazil's education sector).

A useful rule of thumb for Brazilian schools: keep competition light, use team modes to include quieter students, and pair gamified sessions with follow‑up discussion so the podium thrill turns into lasting understanding.

“Kahoot! is an invaluable tool in my teaching, transforming learning into an enjoyable and engaging experience. It keeps my students active and fosters critical thinking, teamwork, and discussion as they explore nursing challenges in depth. I've observed how it helps them develop essential skills like situation assessment and leadership, with someone always stepping into a leadership role - a unique quality in nursing. Beyond mastering concepts, Kahoot! nurtures the diverse qualities needed for success in the nursing profession.” - Fernando Herrera Gallardo, Vice President at Universidad de Atacama

Mostly AI's synthetic data tools offer a practical privacy-first route for Brazil's schools and EdTech teams to get the data they need without exposing students: by training generative models on real records and then producing fresh, statistically faithful samples, the platform eliminates 1:1 links to people while preserving correlations needed for analytics and model training (a “Train Synthetic, Test Real” approach helps validate quality).

Built-in safeguards - model overfitting prevention, rare‑category and extreme‑value protections, and limits on long sequences - reduce re‑identification and outlier leakage, and enterprise controls (SOC 2 / ISO 27001, GDPR/CCPA-aware settings, on‑prem or air‑gapped deployment) make compliance and school‑level contracts easier to manage.

For Brazilian researchers or product teams this means running realistic experiments and sharing datasets across partners without risking a single student record being singled out, and it also opens the door to bias mitigation and wider data access for innovation.

Learn the basics in MOSTLY AI's FAQ and read their privacy overview for technical details and compliance notes.

“nothing else than anonymization technology”

Ivy Tech's early‑warning playbook shows how predictive analytics can turn scattered signals - attendance dips, dropping assignment scores, LMS activity - into timely, actionable alerts that let staff intervene before a semester collapses, a model Brazilian districts can adapt.

In Indiana the system analyzed course performance at scale and flagged thousands fast (one report notes Ivy Tech identified 16,247 at‑risk students out of ~60,000 in just weeks and helped roughly 3,000 avoid failing), proving the value of daily monitoring and clear response protocols (see the Ivy Tech case study and results summary).

Practical lessons for Brazil are straightforward: integrate SIS, LMS and gradebook feeds; define locally meaningful risk indicators; train counselors and teachers on response workflows; and pair tech with bias checks and privacy safeguards to comply with national rules.

For implementation tips and dashboard design, see a practitioner guide to AI early‑warning dashboards that walks through data integration, alerting and teacher workflows - small operational choices (like matching alert cadence to staff capacity) often make the difference between ignored red flags and saved students.

“This early detection system allows students to be notified before the problem occurs, and we can monitor them 24/7.” - David Bañeres

DALL·E brings a practical, multimodal toolset for Brazilian classrooms that can both spark creativity and help restore visual content: its Editor supports inpainting (fill‑in edits) and outpainting (extend an image beyond its borders), so a teacher can iteratively turn a rough sketch or a damaged worksheet scan into a clear, classroom‑ready illustration while preserving shadows and textures (DALL·E Editor inpainting and outpainting features).

Beyond restoration, the model accelerates lesson design - quick concept art, infographic drafts, and multilingual visual prompts make abstract ideas easier to grasp, and the newer DALL·E 3 improvements and ChatGPT integration help follow more detailed prompts and refine outputs (DALL·E 3 features and ChatGPT integration guide).

Practical caveats matter for Brazilian deployments: image coherency can wobble with complex requests, models inherit dataset biases, and computational or copyright considerations require policy guardrails and human review (DALL·E challenges and limitations overview).

Used with clear prompts, verification steps, and teacher oversight, DALL·E can turn visual bottlenecks into multimodal learning opportunities - imagine a blurred diagram becoming a vivid, editable classroom graphic in a few prompt iterations.

Practical next steps for Brazilian educators and policymakers start with the clear, local evidence: the J‑PAL randomized evaluation in Espírito Santo showed that inexpensive AI writing tools (Pure and Enhanced AWE) increased essay practice (students wrote ~1.4–1.6 more training essays), raised full ENEM essay scores by about 0.09 standard deviations, and let teachers discuss ~35% more essays - proof that AI can relieve grading bottlenecks and expand individualized feedback at scale (J‑PAL randomized evaluation: Impact of Artificial Intelligence on Learning in Brazil (Espírito Santo)).

Policy action should therefore prioritize pilot-to-scale pathways that favor cost-effective, constrained systems (Pure AWE proved easier to scale), pair deployments with teacher training and clear intervention workflows, and lock in privacy and accountability safeguards aligned with emerging national rules (see local AI law guidance).

Finally, invest in workforce readiness so schools can operationalize these tools: short, practical programs that teach prompt design and classroom application - such as Nucamp's Nucamp AI Essentials for Work bootcamp - help teachers and administrators turn modest AI gains into broader learning improvements; the Espírito Santo rollout itself scaled to an ongoing public program benefiting roughly 30,000 students per year, a vivid reminder that well‑designed pilots can become durable policy.