Top 10 AI Prompts and Use Cases and in the Education Industry in Spain
Last Updated: September 7th 2025

Too Long; Didn't Read:
Practical AI prompts and use cases for Spain's education sector: Royal Decree 69/2025 creates 376,000 new VET places; balance innovation with EU AI Act/GDPR compliance. Tools include adaptive tutoring, AES (essay grading: 10 min → 30 s), Querium Rover (~$35/student), 15‑week course ($3,582).
AI matters for education in Spain because policy, funding and classroom practice are converging: Royal Decree 69/2025 creates a new VET sector branch for artificial intelligence and data and funds large-scale change (376,000 new VET places), signalling a national push to reskill teachers and students for AI-ready jobs (Cedefop report on VET modernisation and AI training in Spain).
At the same time, Spain's national AI strategy stresses human capital, lifelong learning and public‑private testbeds, while the Ministry's practical Ministry Guide on the Use of AI in Education - classroom-ready examples offers classroom-ready examples for personalised learning, assessment support and data‑safety practices.
With the EU AI Act framing some school tools as high‑risk, Spanish schools must balance innovation with ethics and compliance - making targeted training and short, applied courses essential to implement AI responsibly (EU AI Watch report: Spain AI strategy on human capital and governance).
A vivid test: new modular catalogues mean educators can now pick accredited AI modules as easily as choosing a textbook.
Bootcamp | Length | Early bird Cost | Key courses | Register |
---|---|---|---|---|
AI Essentials for Work | 15 Weeks | $3,582 | AI at Work: Foundations; Writing AI Prompts; Job-Based Practical AI Skills | Register for Nucamp AI Essentials for Work bootcamp |
Table of Contents
- Methodology: How this guide was compiled
- ChatGPT: Personalized Learning (adaptive learning pathways)
- Querium: Smart Tutoring System (real-time tailored feedback)
- TutorMe: Automated Grading and Assessment
- Spanish Ministry of Education: Curriculum Planning and Gap Analysis
- Duolingo: Language Learning with ML-powered speaking and listening practice
- Perplexity: Interactive and Game-based Learning and inquiry
- DataCamp: Smart Content Creation (auto-generated notes, visuals, 2D/3D)
- OpenAI API: Self-learning with AI (24/7 agents, quizzes, flashcards)
- Kapil Kumar (2025 Guide): AI Monitoring and Exam Integrity
- Council for Scientific and Industrial Research (CSIR): Dyslexia Detection and Early Intervention
- Conclusion: Practical next steps for Spanish educators
- Frequently Asked Questions
Check out next:
Explore how the new AI & data VET branch creates career pathways for learners across Spain.
Methodology: How this guide was compiled
(Up)This guide was compiled by systematically cross‑checking Spain's own classroom‑facing resources with practical toolkits and international checklists: official publications such as the Ministry's Spanish Guide on the Use of AI in Education informed ethical guardrails and classroom examples (Spanish Guide on the Use of AI in Education), while INTEF's Guidelines - including Annex 1's “good practices” - supplied concrete, ready‑to‑run activities and profile‑based recommendations for students, teachers and school administrations (INTEF Guidelines on the use of AI in education).
To capture system‑level change and workforce implications the review also used the Cedefop overview of Royal Decree 69/2025 and the new modular VET catalogues so VET modules and classroom practice are aligned (Cedefop report on VET modernisation and AI training).
Selection criteria favoured Spanish relevance, classroom applicability, clear ethics/ privacy guidance and modular training pathways; priority was given to annexes and checklists that read like “teacher recipe books” - step‑by‑step examples educators can adapt the same week - and to documents that align with EU rules such as the AI Act and GDPR for safe, scalable adoption in Spanish schools.
“Be open to using AI rather than banning it; students will engage with AI in the future.”
ChatGPT: Personalized Learning (adaptive learning pathways)
(Up)ChatGPT can power genuinely adaptive learning pathways for Spanish classrooms and homeschools in Spain by turning one-off activities into a continuous, personalised tutor: it can generate multi‑week study plans and micro‑lessons, run instant grammar drills or themed vocabulary lists, then switch to a practical role‑play (for example, a short restaurant scenario) so learners practise real conversation in context - essential for building spoken fluency.
Practical teacher tools such as lesson‑planning ChatGPT bots let educators save time on curriculum building and export ready‑to‑use PDFs, while student‑facing prompts (structured plans, fill‑in‑the‑blank exercises, and oral exams) support scaffolded progression and frequent, low‑stakes assessment.
Voice mode and multimodal prompts make pronunciation practice and listening work easier, and guides recommend cross‑checking AI answers with trusted sources to avoid occasional inaccuracies.
For Spanish schools trying to scale personalised pathways, ChatGPT is less a replacement for teachers and more a tireless assistant that can flip from targeted grammar practice to a simulated real‑world dialogue in minutes, helping students advance at their own pace.
See a practical walkthrough in the ChatGPT Spanish lesson guide - AI Essentials for Work syllabus and explore AI lesson-planning teacher bots - AI Essentials registration for streamlined lesson planning.
Querium: Smart Tutoring System (real-time tailored feedback)
(Up)Querium brings a stepwise, real‑time tutoring model that fits neatly into Spanish classrooms searching for dependable math support: its patented StepWise Virtual Tutor guides learners through problems with instant, scaffolded hints and automated grading so students get corrective feedback the moment they stumble, reducing math anxiety and turning repeated practice into mastery.
Built to work with LMS gradebooks and to generate multiple question variants for honest practice, Querium's Rover homework system (developed with OpenStax and sold via XanEdu) is explicitly designed for remote and in‑class use, affordable at about $35 per student per course and engineered to deliver scores to the gradebook in real time - handy for busy teachers who need quick diagnostics.
Spanish educators evaluating adaptive math tools should review Querium's research on real‑time tutoring and Rover's classroom features to see how step‑by‑step AI can act like a patient tutor that nudges each student toward their
“aha” moment
See Querium's research overview and the Rover homework system for details.
Founded | Headquarters | Core tech / Product | Notable feature | Typical classroom price |
---|---|---|---|---|
2013 | Austin, TX | StepWise Virtual Tutor (StepWise AI) | Real-time step-by-step feedback; LMS gradebook sync | ~$35 per student per course (Rover) |
TutorMe: Automated Grading and Assessment
(Up)For tutoring services such as TutorMe that aim to scale high-quality feedback in Spain, automated grading and assessment tools can be a practical backbone: modern Automated Essay Scoring (AES) systems replicate teacher rubrics, bulk-upload classes, and return structured feedback in seconds - EssayGrader even claims to cut a typical 10‑minute essay grade to about 30 seconds - so a Sunday afternoon pile of papers can become a coffee‑break task.
These systems pair well with clear, teacher‑created rubrics (holistic, analytic or single‑point) to keep scoring transparent and defensible, and classroom integrations like Gradescope support partial credit, rubric updates and LMS workflows that Spanish schools already use.
Important operational notes for Spain: choose tools with configurable rubrics, explicit data‑handling policies and GDPR/INCIBE guidance to avoid legal headaches (EssayGrader automated essay scoring overview, Gradescope automated grading review and systems comparison, GDPR and INCIBE guidance for AES compliance in Spain).
Used as an assistant - not a replacement - AES speeds routine marking, highlights patterns for targeted instruction, and frees tutors to deliver the nuanced, human feedback students still need; one vivid payoff is turning a class set of essays from a day‑long chore into actionable feedback by morning.
Score Range | Interpretation |
---|---|
5–6 | Excellent |
4 | Good |
3 | Satisfactory |
2 | Needs Improvement |
1 | Poor |
Research shows that AES algorithms work about as well as a second human grader.
Spanish Ministry of Education: Curriculum Planning and Gap Analysis
(Up)Curriculum planning in Spain is moving from ad‑hoc pilots to a mapped, evidence‑based approach where the Ministry's new Guide on the Use of AI in Education - practical guidance, ethical guardrails, and plain‑language glossary for Spanish schools becomes the scaffold for gap analysis - offering practical examples, ethical guardrails and a plain‑language glossary that help schools identify where learners need AI literacy, assessment safeguards or data‑privacy training.
INTEF's companion Guidelines on the Use of AI in Education - annexes and profile‑based checklists for teacher training and classroom activities supply ready‑to‑run annexes and profile‑based checklists so planners can turn a wish list into a week‑by‑week teacher‑training map and concrete classroom activities.
At system level, the national strategy stresses human capital and digital competence investments, making it possible to cross‑reference national priorities with local needs and spot chokepoints - teacher certification shortfalls, device shortages, or weak assessment practices - like a diagnostic scan that flags the exact module or resource to fix first, as laid out in the Spain national AI strategy report - human capital and digital competence priorities.
The result: a pragmatic road map that links legal obligations, classroom practice and upskilling so curriculum updates are targeted, traceable and classroom‑ready.
Duolingo: Language Learning with ML-powered speaking and listening practice
(Up)Duolingo's AI push brings practical, classroom-ready speaking and listening practice that Spanish educators can slot into homework or blended lessons: Duolingo Max layers GPT‑4 features like Explain My Answer and Roleplay to give learners instant, personalized feedback, while the Video Call with Lily feature creates short, CEFR‑level, AI‑moderated conversations that adapt to student responses and even remember facts from prior calls - see the product details in Duolingo's Duolingo Max announcement and the engineering breakdown of Video Call with Lily for how prompts, memory and mid‑call checks keep chats on‑level and safe (Duolingo Max: Explain My Answer & Roleplay, Get to Know the AI Behind Every Video Call with Lily).
How are your two dogs?
For Spanish classrooms the payoff is clear: low‑stakes, private speaking practice that builds fluency and confidence (especially for shy students), though schools should weigh the Max premium price and occasional transcript errors against pedagogical benefits when recommending subscriptions.
Perplexity: Interactive and Game-based Learning and inquiry
(Up)Perplexity brings a conversational, citation‑aware search layer to interactive and game‑based learning that fits Spanish classrooms hungry for fast, credible inquiry: its real‑time retrieval and numbered citations let students ask follow‑ups and immediately verify claims, while advanced summarisation can condense an 80‑page report into a digestible summary in minutes - a vivid payoff when a group project suddenly needs reliable sources on the same day.
Teachers and e‑learning platforms can use Perplexity to power inquiry cycles, generate scaffolded questions, or turn research time into playable, evidence‑based tasks without the usual link‑sifting, and its conversational interface helps learners refine complex queries naturally.
Spanish schools evaluating classroom deployments should pair Perplexity's strengths with clear data‑handling practices - see practical GDPR and INCIBE guidance for deploying AI tools in Spain - and consult local tool comparisons to choose workflows that balance interactivity, transparency and legal compliance.
DataCamp: Smart Content Creation (auto-generated notes, visuals, 2D/3D)
(Up)DataCamp brings smart content creation to Spanish classrooms by turning static resources into interactive, runnable material that teachers can hand out as copy links so students are literally up and running in less than 5 seconds; DataLab's zero‑configuration notebooks include an AI assistant that can generate and explain code, a built‑in SQL cell and Google‑Docs style collaboration, making it simple to auto‑produce class notes, explorable visuals and dashboarded exercises that reinforce theory with practice.
Educators can apply for a free DataCamp Classroom to unlock DataLab Premium, assign projects, track progress and export engagement reports for local dashboards, while DataCamp's pedagogy - explorable exercises, drag‑and‑drop workflows and IDE/VM tasks - supports scalable, low‑friction content creation and iteration.
Since DataCamp has prioritised Spanish content, schools and universities in Spain can increasingly rely on translated curriculum and instructor support to build localized, GDPR‑aware resources without rebuilding courseware from scratch; for a practical how‑to see the DataLab classroom walkthrough and the DataCamp Classrooms program details.
Feature | Detail |
---|---|
Course library | 500+ courses (access via Classrooms) |
DataLab | Zero‑config notebooks, SQL cell, AI assistant, copy links & version history |
For educators | Free DataCamp Classrooms (apply; 6‑month access) |
Languages | Spanish content prioritized since Sept 2023 |
“I love DataLab! I have tried a few other cloud JupyterLab solutions, and DataLab is by far the easiest for my students and me.”
OpenAI API: Self-learning with AI (24/7 agents, quizzes, flashcards)
(Up)OpenAI-powered chatbots and lightweight 24/7 agents are already being prototyped as self‑learning companions that run short quizzes, generate instant flashcards and even nudge study habits for Spanish learners - builders on the OpenAI community are explicitly sketching chatbots with habit‑creation reminders and notifications to keep practice regular (OpenAI Community discussion: chat-bot for Spanish learners with habit-creation reminders).
Real‑world reporting shows how a conversation‑first tutor can save unknown words as flashcards, fold them back into later dialogues and give the low‑stakes speaking time that lifts confidence and fluency - at a price point similar to a single tutoring session (the Guardian profile cites a $25/month bot) (The Guardian profile of a chatbot language tutor and pricing).
For Spanish schools and providers, these always‑on agents are most effective when paired with human teachers and deployed with Spain‑specific privacy and compliance checks - see practical GDPR/INCIBE guidance and compliance steps for education deployments (Nucamp guidance for GDPR, INCIBE, and AESIA compliance in Spanish education AI deployments).
“gave me the space and confidence to try something new”
Agarra la barra.
Kapil Kumar (2025 Guide): AI Monitoring and Exam Integrity
(Up)Kapil Kumar's 2025 guide highlights AI monitoring systems as a practical tool for strengthening exam integrity in Spain: these proctoring solutions run throughout quizzes and exams and can alert authorities the moment suspicious behaviour is detected - whether an unauthorised electronic device is used, an unusual pattern of answers appears, or unexpected conversation occurs - making them especially useful for institutions running exams at scale.
Spanish schools and VET centres evaluating such systems should weigh operational gains against privacy and legal duties under GDPR and national guidance; practical compliance steps are available in Nucamp's overview of GDPR, INCIBE and AESIA compliance.
For a clear summary of why monitoring belongs in the toolkit - and where to be cautious - see Kapil Kumar's full Top 10 AI Use Cases in Education (2025 Guide), which places exam monitoring alongside adaptive tutoring and dyslexia detection as part of a balanced, ethically governed AI strategy for schools.
What AI Monitoring Detects | Practical Benefit for Spanish schools |
---|---|
Suspicious activity (cheating patterns, conversations, device use) | Real‑time alerts to proctors; scalable oversight for large exams |
Automated flagging during exams | Frees staff time for investigation while supporting faster, consistent integrity checks |
Council for Scientific and Industrial Research (CSIR): Dyslexia Detection and Early Intervention
(Up)When exploring dyslexia detection and early intervention projects associated with research organisations like the Council for Scientific and Industrial Research (CSIR), Spanish schools should treat the technology as both a diagnostic aid and a policy challenge: legal safeguards and teacher workflows matter as much as model accuracy.
Practical next steps include grounding deployments in clear data‑handling and consent procedures - see Nucamp's primer on Nucamp AI Essentials: GDPR, INCIBE and AESIA compliance - and designing phased automation plans that pair new tools with retraining and redeployment strategies highlighted in Nucamp's Complete Software Engineering Path: policy strategies for phased automation.
For practical tool selection, consult the comparative workflows in Nucamp's AI Essentials syllabus – Complete Guide to Using AI in Education in Spain, and prioritise solutions that build teacher alerts and simple consent dashboards - a subtle classroom nudge can catch reading struggles early, before frustration hardens into avoidance.
Conclusion: Practical next steps for Spanish educators
(Up)Practical next steps for Spanish educators start with three simple moves: map the AI tools already in use, pair each with a GDPR‑aligned risk check, and pilot classroom workflows inside a controlled sandbox so legal headaches and bias are caught early - the AEPD already warns organisations to align practices with both GDPR and the EU AI Act and can act against unlawful AI now (AEPD guidance on GDPR and the EU AI Act for organisations).
Use the Spanish Ministry's Guide on the Use of AI in Education to translate ethics into concrete activities and checklists that teachers can apply immediately (Spanish Ministry Guide on the Use of AI in Education), and pair pilots with short, applied staff training so curriculum updates are traceable and classroom‑ready - for example, a focused 15‑week applied course can move teams from uncertainty to classroom prompts and assessment rubrics fast (Register for Nucamp AI Essentials for Work bootcamp).
Start small, document decisions, and scale only once transparency, data minimisation and human oversight are baked into daily practice - one documented pilot will save a school from scrambling if enforcement arrives.
Bootcamp | Length | Early bird Cost | Register |
---|---|---|---|
AI Essentials for Work | 15 Weeks | $3,582 | Register for Nucamp AI Essentials for Work bootcamp |
Frequently Asked Questions
(Up)Why does AI matter for education in Spain now?
AI matters because policy, funding and classroom practice are converging: Royal Decree 69/2025 creates a new VET branch for artificial intelligence and data and funds large-scale change (about 376,000 new VET places). Spain's national AI strategy emphasizes human capital, lifelong learning and public–private testbeds, while Ministry and INTEF resources offer classroom-ready examples, ethical guardrails and modular catalogues so educators can pick accredited AI modules as easily as choosing a textbook.
What are the top AI use cases and tools Spanish schools can adopt?
Key classroom use cases include: personalized learning and lesson planning (ChatGPT), stepwise math tutoring and real-time feedback (Querium/Rover), automated grading and assessment analytics (TutorMe/Automated Essay Scoring and Gradescope integrations), ML-powered speaking/listening practice (Duolingo Max), conversational, citation-aware inquiry and summarisation (Perplexity), smart content and runnable notebooks for data skills (DataCamp), always-on study agents and flashcard bots (OpenAI API prototypes), exam monitoring/proctoring for integrity, and dyslexia detection/early intervention tools. Each tool solves concrete needs - adaptive pathways, instant corrective feedback, faster marking, low-stakes speaking practice and scalable content creation.
How should schools implement AI responsibly under GDPR and the EU AI Act?
Balance innovation with compliance by mapping existing tools, running GDPR-aligned risk checks, and treating some classroom tools as potentially high-risk under the EU AI Act. Follow Ministry and INTEF guides and AEPD recommendations: obtain informed consent where needed, minimise data collection, keep human oversight in the loop, document decisions, run bias and accuracy checks, and pilot tools in controlled sandboxes before full deployment.
What practical first steps and training pathways help schools move from pilot to scale?
Start small and documented: (1) map AI tools in use; (2) perform simple GDPR/AI Act risk checks; (3) pilot classroom workflows in a sandbox; (4) use INTEF/Ministry annexes and teacher 'recipe' checklists for ready-to-run activities; (5) deliver short applied staff training or modular VET courses to upskill teams. Example pathway: an applied 15-week course (e.g., 'AI Essentials for Work') can move teams from uncertainty to classroom prompts, rubrics and pilot-ready workflows - early-bird cost cited in the guide was $3,582 for that bootcamp.
How can AI support assessment integrity and early learning needs without replacing teachers?
Use AI as an assistant: Automated Essay Scoring speeds routine marking when paired with transparent, configurable rubrics and teacher oversight; monitoring/proctoring tools detect suspicious behaviour but must be balanced against privacy and legal duties; dyslexia-detection systems can flag early reading struggles if deployed with consent, clear data handling and teacher-led intervention workflows. The emphasis should be on human-in-the-loop processes, defensible rubrics, and phased deployments that preserve pedagogical judgement.
You may be interested in the following topics as well:
See why tapping into MareNostrum 5 supercomputing resources can lower model training costs for Spanish EdTech firms and improve latency for local students.
Discover why School secretaries facing automation must pivot to digital administration and family liaison roles to remain vital in Spanish schools.
Ludo Fourrage
Founder and CEO
Ludovic (Ludo) Fourrage is an education industry veteran, named in 2017 as a Learning Technology Leader by Training Magazine. Before founding Nucamp, Ludo spent 18 years at Microsoft where he led innovation in the learning space. As the Senior Director of Digital Learning at this same company, Ludo led the development of the first of its kind 'YouTube for the Enterprise'. More recently, he delivered one of the most successful Corporate MOOC programs in partnership with top business schools and consulting organizations, i.e. INSEAD, Wharton, London Business School, and Accenture, to name a few. With the belief that the right education for everyone is an achievable goal, Ludo leads the nucamp team in the quest to make quality education accessible