#Hack4Edu is now underway!
From October 27 to 31 (CET), here you will find streaming access, agenda, community, challenges, mentoring, AI resources, and project submissions. Get ready to ideate, prototype, and transform education with innovation.
AGENDA EVENT 27-31 OCT
Jury
2025
Register as a Hacker
Register
as University
Awards
Register
Register
List of challenges
Participation bases
Presentation agenda for prototypes on the 31st International Jury
Participate
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And so came the sixth edition of the hackathon, dedicated to addressing and solving technological challenges related to digital education and artificial intelligence.
Participate as a university!
Participate as a hacker!
Participate as a partner university or higher education institution
If you are a university/higher education institution and are interested in #Hack4edu, don't hesitate to participate!
HOW DO YOU PARTICIPATE?
- Join us: Sign the letter of support for the project, which you will find in the partner kit. Send it digitally signed to: hack4edu@upsa.es
- Build: Once you have joined, create the form so that interested parties can register for the hackathon through your educational center.
- Spread the word: It's time to share the news! Post a news item on your school's website and share it on social media. Give everyone the opportunity to participate!
- In touch: Every two weeks, and closer to the weekly hackathon, we will ask you to update us with participant information and attend virtual coordination meetings.
CODE OF ETHICAL CONDUCT
RULES FOR PARTICIPATION
LETTER OF MEMBERSHIP
Participate
days
hrs
hrs
mins
hrs
mins
mins
hrs
secs
00:00:00:00
And so came the sixth edition of the hackathon aimed at addressing and solving technological challenges related to the challenges posed by digital education and artificial intelligence.
Participate as a university!
Participate as a hacker!
Participate as a hacker
Would you like to participate in the fifth edition of the international hackathon dedicated to digital education and find solutions to the new challenges posed this year with Artificial Intelligence?
HOW TO PARTICIPATE? Participating as a hacker in a hackathon is a unique opportunity to test your skills, collaborate with other talented individuals, and transform ideas into real solutions in a limited amount of time. To do so, you just need to register for the event, either individually or as a team, and be ready to take on one of our challenges. During the hackathon, you will develop prototypes, present your proposal to a jury, and, most importantly, learn, connect, and grow in a creative, collaborative, and energetic environment. You don't need to be an expert, just eager to create! Don't hesitate, find your university or higher education partner and become a hacker in the new #hack4edu call by filling out the following form!
Participate
CODE OF ETHICAL CONDUCT
Submit your challenge
Do you have an idea you would like our hackers to solve?
Do you have an educational challenge in mind that needs an innovative solution? 📣 This is your moment! At #hack4Edu, we consider any problem or need related to digital education that can be solved with technology to be a challenge. We invite you to submit your challenge and be part of the engine driving educational transformation. Hackathon hackers will take it on as their mission, developing creative, viable solutions with real impact. 🚀 Because every great breakthrough starts with a good question... what's yours?💡
Send your challenge
Latest challenges posted: starting August 14
1. AI with heart for education
9. Inclusive Content Generator
2. Intelligent AI Tutoring for Students
10. Local Narratives for Learning
11. Smart Teaching Mentor
3. AI-mediated internationalization through simultaneous translation
4. Offline-resilient personalized learning
12. Virtual Laboratory Simulator
5. Intelligent Evaluation of Academic Evidence in PDF Format with Teaching Rubrics
13. Smart School Library
14. Detecting and Preventing School Dropouts
6. Multilingual Virtual Tutor
15. Real-Time Bilingual Classrooms
7. Automatic Creation of Teaching Materials
16. Adaptive Curriculum Generator
8. Personalized Offline Assessment
Next
Submit your challenge
Do you have an idea you would like our hackers to solve?
Do you have an educational challenge in mind that needs an innovative solution? 📣 This is your moment! At #hack4Edu, we consider any problem or need related to digital education that can be solved with technology to be a challenge. We invite you to submit your challenge and be part of the engine driving educational transformation. Hackathon hackers will take it on as their mission, developing creative, viable solutions with real impact. 🚀 Because every great breakthrough starts with a good question... what's yours?💡
Send your challenge
Latest challenges posted: starting August 14
17. Production of Educational Audiovisual Resources
24. Technology for student well-being
25. Automatic generation of educational mini-podcasts with AI
18. Creation of School Glossaries and Dictionaries
26. Inclusive learning without an internet connection
19. Social-Emotional Skills Coach
27. Personalized AI mentor for elder care
20. Gamified Learning with AI
28. AI Tutor: Teaching Structural Diagnostics
29. Local AI for Language Learning with Limited Resources
21. Inclusive education with AI: teaching assistance
30. Computers for Learning: Optimised Technology for Rural Schools
22. ReConnect with learning
31. Revolutionizing Math Learning with AI
23. Mobile app with real-time interpretation of Mexican Sign Language (LSM)
32. Letter recognition for literacy using artificial vision
33. Learning Cultural Diversity through Artificial Intelligence
Previous
Next
Submit your challenge
Do you have an idea you would like our hackers to solve?
Do you have an educational challenge in mind that needs an innovative solution? 📣 This is your moment! At #hack4Edu, we consider any problem or need related to digital education that can be solved with technology to be a challenge. We invite you to submit your challenge and be part of the engine driving educational transformation. Hackathon hackers will take it on as their mission, developing creative, viable solutions with real impact. 🚀 Because every great breakthrough starts with a good question... what's yours?💡
Send your challenge
Latest challenges posted: starting August 14
34. Intelligent Assessment of Academic Evidence in PDF Format Using Teaching Rubrics
35. Production of Educational Audiovisual Resources
36. Digital Educational Innovation ‘EduNova’ Learn at your own pace
37. Inclusive Educational Assistant with AI for Students with ASD
38. AI Colmena
39. Connecting Academic Motivation and Student Well-being
Previous
Jury 2025
A distinguished jury to promote educational innovation with social impact.
In this sixth edition of Hack4Edu, the jury is composed of a panel of experts in artificial intelligence, digital education, and technological innovation from universities, social organizations, and companies in the sector. Their mission is to rigorously evaluate the projects, recognizing those proposals that best integrate technology and educational purpose with real impact.
Awards
A. Innovative Awards
B. Senior category awards
The Telefónica-ProFuturo Chair (UPSA) will award three prizes of €1,500, €1,200, and €700 to the three best projects from all participants in this category.
The Telefónica-ProFuturo Chair (UPSA) will award three prizes of €1,500, €1,000 and €700 to the three best projects from all participants in this category.
C. Social Impact Award (new category)
The Telefónica-ProFuturo Chair (UPSA) will award a prize of €700 to the best project that responds to a real educational challenge and demonstrates high potential for social impact, especially in vulnerable contexts or those with access gaps. The project's potential for transformation in the educational community, its inclusive and equitable approach, the sustainability of the project, its scalability, and the ethical and responsible use of artificial intelligence will be evaluated. This award focuses on the power of technology in the service of the common good.
D. Publication in Springer
Each venue will have the opportunity to publish a research article with the prestigious Springer publishing house. These articles will focus on the projects developed during the hackathon and will be compiled in a journal that will bring together the research from all participating universities. The official presentation of this publication will take place in 2026 at the Pontifical University of Salamanca, in a hybrid event.
FAQs
Frequently asked questions about our hackathon
If you are thinking about participating in #hack4Edu or want to propose a challenge, it is normal to have questions. To help you, we have compiled the most frequently asked questions about how the hackathon works, who can participate, how to submit challenges, the stages of the event, and much more. Here you will find everything you need to know to join this educational innovation experience. 🚀
It is a collaborative event to solve real challenges in digital education and artificial intelligence through innovative technological solutions.
It is not mandatory, but it is recommended that at least one member of the team has this skill in order to address the challenges posed.
Students, teachers, and experts regardless of their background, individually or in teams.
Can I participate individually or do I need a team?
Is it necessary to have technical or programming knowledge to participate?
Through the website hack4edu.org, until October 24, 2025, at 11:59 p.m. (local time).
How do I register, and when is the deadline?
What is a hackathon and what is #Hack4Edu?
Who can participate in the hackathon?
You can register individually and then join a team during networking sessions or form your own.
Yes, each venue will receive technical and educational support, as well as virtual sessions to answer questions and guide the teams.
Technological challenges that respond to digital education issues, with potential for practical application and scalability.
From October 27 to 29, 2025, with working sessions, networking, and prototype presentations on October 31.
Creativity, technical quality, market transferability, and a focus on solving educational challenges with AI.
Yes, in two categories: Innovative, Senior, and a new Social Impact award.
Are there prizes? What are the categories?
Will there be mentors or support during the hackathon?
How long does the hackathon last and how is the time organized?
What criteria will the jury use to evaluate the projects?
What kind of challenges might arise?
They can be new projects (innovative category) or based on previous work (senior category), provided that the parts developed during the hackathon are clearly specified.
You can register individually and join a project during the networking session on October 27 or by filling out the forms available on the website.
It is a hybrid event: you can participate from physical venues or online, with networking sessions and virtual project presentations.
The property is 100% owned by the participants, but projects must be shared under free licenses for evaluation and dissemination.
What about the copyright and intellectual property rights of the projects submitted?
Do projects have to be completely new, or can they be based on previous ideas?
Can more than one prize be awarded per person or team?
What happens if I don't have the equipment to participate?
No, the same participant or team cannot receive more than one prize in #hack4Edu.
Is the hackathon in-person, virtual or hybrid?
Return
Agenda
Coming soon
Videos
Launch of the 6th edition of #Hack4Edu
Webinar 'From challenge to achievement: key project management skills in a hackathon'
Inauguration of the 6th edition of hack4edu
10. Local Narratives for Learning Design a platform that uses generative AI to create stories, tales, and examples contextualized with the culture, customs, and local reality of students. The goal is to encourage learning through familiar and relevant narratives, reinforcing cultural identity and increasing student motivation in the educational process.
AI with heart for education On the path to educational transformation, tools that manage tasks are not enough. The real challenge is to develop artificial intelligence that accompanies the human process of learning and growth—not as a control system, but as an empathetic ally. We envision an AI that understands the emotional rhythm of the student: that recognizes fatigue, celebrates small achievements, knows when to intervene and when to give space. A technology that connects the learner with their guide at the right moment, that adapts without judging, and that respects the vulnerability of the learning process. This is not a technical challenge. It is a human challenge. We are not looking for just another app. We are looking for a purposeful digital companion, designed by those who understand that education is not just productivity—it is transformation. If building something like this inspires you, this challenge is for you.
17. Production of Educational Audiovisual Resources Develop a system that allows teachers to generate explanatory educational videos from simple texts or outlines, using synthetic voice and animations. The goal is to offer engaging and easy-to-understand classes, even in contexts with limited audiovisual resources.
14. Detecting and Preventing School Dropouts Design a system for analyzing and generating educational alerts that, based on student interaction with platforms, detects signs of demotivation or risk of dropping out. The challenge is for AI to generate personalized recommendations for both teachers and students and their families, helping to intervene before disengagement occurs.
13. Smart School Library Propose an AI engine that transforms any available document (articles, books, guides) into versions adapted for different levels of comprehension, with summaries, glossaries, and practical examples. The goal is to facilitate access to knowledge for students with different learning paces.
8. Personalized Offline Assessment Propose a generative AI system that designs and corrects tests adaptively, taking into account the individual needs of each student. The challenge is for the tool to work offline or with limited connectivity, allowing rural or isolated schools to apply personalized assessments that motivate students and provide teachers with clear and practical feedback.
Select the university you belong to:
- UPSA (Students who cannot find the form for their university can register here)
- Universidad Mexiquense del Bicentenario
- Universidad Autónoma del Estado de México
- Universidade Federal Rural do Semi-Árido (UFERSA)
- Faculdade de Piracanjuba (FAP)
- Escola do Futuro do Estado de Goiás (EFG) Luiz Rassi - Aparecida de Goiânia/Go
- UNSA Universidad Nacional de San Agustín de Arequipa
- Tecnológico de Estudios Superiores de Cuautitlán Izcalli
- Universidad Digital del Estado de México
- Sveučilište u Mostaru (University of Mostar)
- Universidad Tecnológica de Panamá
- Universidad Tecnológica de Nezahualcóyotl
- Ternopil Ivan Puluj National Technical University
27. Personalized AI mentor for elder care Develop an artificial intelligence platform or module that functions as a personalized learning mentor for caregivers of older adults. The tool should detect knowledge gaps, learning styles, and specific responsibilities for each user, generating a tailored study path. The AI will adjust explanations, exercises, resources, and feedback to the caregiver's level, ensuring that the content is useful and applicable to the real challenges of daily care..
9. Inclusive Content Generator Create a generative AI engine that automatically transforms educational materials into accessible formats: audio for students with visual impairments, sign language captions for those with hearing impairments, or simplified readings for children with comprehension difficulties. The challenge is to ensure that no student is left behind, regardless of their abilities.
23. Mobile app with real-time interpretation of Mexican Sign Language (LSM) An app that uses computer vision AI to interpret LSM gestures captured by the device's camera in real time. The AI translates these gestures into text or speech, facilitating communication between deaf and hearing people. It also incorporates an interactive 3D avatar that not only reproduces the translations, but also teaches signs to the hearing user, creating a gamified educational experience.
21. Inclusive education with AI: teaching assistance How can we design AI-based solutions that are ethical, non-invasive, and human-centered to help primary school teachers (children aged 6 to 11) identify early signs of neurodiversity, enabling more personalized and timely interventions that enhance each student's development?
Automatic review of PDF assignments based on the teacher's rubric. AI-based platform that analyzes PDF assignments and automatically grades them according to the evaluation parameters (rubric) uploaded by the teacher. It provides textual feedback, detects plagiarism/formatting issues, and suggests actionable improvements. Ideal for speeding up correction and increasing consistency in evaluation.
17. Production of Educational Audiovisual Resources Develop a system that allows teachers to generate explanatory educational videos from simple texts or outlines, using synthetic voice and animations. The goal is to offer engaging and easy-to-understand classes, even in contexts with limited audiovisual resources.
9. Inclusive Content Generator Create a generative AI engine that automatically transforms educational materials into accessible formats: audio for students with visual impairments, sign language captions for those with hearing impairments, or simplified readings for children with comprehension difficulties. The challenge is to ensure that no student is left behind, regardless of their abilities.
FRANCISCO ILDEFONSO DOMINGUEZ LOSADA
I graduated in Computer Engineering from the Pontifical University of Salamanca (2012-2016), with postgraduate training in Big Data and a MIMO Master's degree. I began my professional career in 2016 as an intern at Telefónica I+D (Telefónica Research and Development), working as a Big Data platform administrator and managing data-related aspects. I then joined Telefónica Wholesale Services (TIWS) in the Security Engineering department, where I worked and trained in the areas of security and networks until 2018, when I returned to Telefónica I+D (Telefónica Digital Innovation), where I am part of the Integration and Delivery team, working as a Data Engineer and Big Data Cloud Solution Architect.
22. ReConnect with learning In many classrooms, some students fall behind without anyone noticing, leading to frustration and inequality. The challenge is to create a technological solution that detects in real time when a student does not understand the content and offers personalized support. This tool could use artificial intelligence or learning analytics to identify signs of confusion, suggest tailored resources, and alert the teacher. The goal is to achieve a more inclusive and empathetic education, where no one is left behind.
20. Gamified Learning with AI Develop a generator of personalized educational games that transform curricular content into playful dynamics adapted to the local context. The challenge is to increase student motivation and engagement, especially in communities where entertainment and gamification resources are scarce.
14. Detecting and Preventing School Dropouts Design a system for analyzing and generating educational alerts that, based on student interaction with platforms, detects signs of demotivation or risk of dropping out. The challenge is for AI to generate personalized recommendations for both teachers and students and their families, helping to intervene before disengagement occurs.
38. AI Colmena Current educational tools, which depend on the internet and high-performance equipment, widen the digital divide by excluding those who most need learning opportunities. This technological inequality not only limits academic training, but also opportunities for employment and social participation in an increasingly digitized environment. In this context, there is a need to develop a digital education system based on generative artificial intelligence. Furthermore, access to personalized AI tutors is a reality in urban areas, but remains a utopia in rural schools, where internet connectivity is limited and equipping each student with a powerful computer is economically unfeasible. Therefore, the challenge focuses on a radically scalable solution: an “AI Hive” system, in which a single low-resource computer such as a Raspberry Pi functions as the central “brain” of an entire classroom. This unit will serve as a micro-server and autonomous Wi-Fi access point, creating its own local network without the need for the internet, hosting an optimized AI tutor and allowing all students to connect simultaneously with the devices they already own, no matter how basic they may be. Its main objective is to reduce technological poverty through an inclusive, resilient, and scalable platform that ensures universal access to STEM learning even in contexts with limited connectivity or minimal technological resources.
18. Creation of School Glossaries and Dictionaries Design a solution that automatically generates glossaries and dictionaries from school materials, tailored to each subject and level. This will help students better understand technical or complex terms and will support teachers in preparing their classes.
7. Automatic Creation of Teaching Materials Develop a solution that allows teachers to automatically generate worksheets, exercises, summaries, and interactive activities adapted to the school curriculum. The goal is to free up preparation time and offer quality resources even in contexts where teachers have excessive workloads or do not have sufficient materials. The tool should allow for adjustments according to age and academic level.
15. Real-Time Bilingual Classrooms Create a generative translation tool that works in real time during classes, allowing students who are not fluent in the official language to follow the content and participate actively. The solution should be lightweight and accessible, designed for schools with basic devices.
Offline-resilient personalized learning
Key features: Works offline and adapts to student performance through a local engine.Uses free supervisory AI to update content and teaching strategies, even without a connectioCourses are distributed via USB, Bluetooth, or WhatsApp.Protects privacy with encryption and offers simple dashboards for teachers.Synchronizes data securely when connected. Objective: To demonstrate that it is possible to offer a scalable, inclusive, and fast educational solution that centralizes resources, adapts to any context, and continuously improves thanks to AI, without requiring advanced hardware.
Create a free, intuitive, and lightweight educational platform that works on low-resource devices (basic cell phones, older tablets, Windows PCs) and does not require a constant connection. It will be an all-in-one system with personalized learning paths that include lessons, exercises, podcasts, gamification, digital libraries, and links to academic journals.
26. Inclusive learning without an internet connection Design a digital educational solution that facilitates learning in diverse contexts, including those with connectivity limitations. The proposal must incorporate principles of accessibility and inclusion to ensure that students with different profiles can benefit. We are looking for a tool that strengthens the link between technology and education, respecting cultural diversity and promoting equity in access to knowledge.
25. Automatic generation of educational mini-podcasts with AI Currently, many students find it difficult to maintain their attention and interest in lengthy or uninteractive teaching materials. This challenge proposes the development of a technological solution based on artificial intelligence, capable of transforming school content into short, dynamic educational mini-podcasts that facilitate auditory learning and the review of key concepts.
33. Learning Cultural Diversity through Artificial Intelligence An artificial intelligence solution is proposed that is capable of learning and recognising folk traditions from different regions. The aim is to promote the appreciation and preservation of cultural diversity by automatically identifying the region of origin of a specific folk tradition. To do this, the AI must be able to analyse images, videos of dances, folk costumes, musical instruments and any other folk heritage to identify unique cultural elements and relate them to specific geographical regions. The solution must be accessible to users with no experience in AI, such as students, teachers and culture enthusiasts. In addition to identifying traditions, the AI must provide additional information about the history and cultural significance of each folk tradition.
35. Learning from Nature with Artificial Intelligence Propose an educational solution based on generative artificial intelligence that motivates children to explore, observe, and learn from the natural environment in a creative and accessible way. The challenge is to develop a technology that combines environmental education and digital learning, capable of generating personalized activities, stories, or experiences that connect children with nature, even in contexts with limited resources or connectivity.
Mariela Canessa Rodríguez – Volunteering Initiatives at Fundación TelefónicaMariela has a degree in Administration and more than 10 years of experience in the field of social action and corporate volunteering. At the beginning of her career, she worked in business areas such as Finance at IBM, and since 2005 in Marketing and Product at Telefónica de Argentina. She joined Fundación Telefónica in 2013, coordinating volunteering activities in Argentina, and joined the Foundation in Spain in 2016 to continue developing her professional career in social action and volunteering projects, performing various functions ranging from international programme coordination, digital volunteering, digital platform coordination, educational innovation projects, and safe and responsible use of technology. She sees volunteering and the design of social projects as an essential tool on both a personal and professional level, firmly believing that every action leaves a mark on all parties involved, creating a healthier and more inclusive society.
29. Local AI for Language Learning with Limited Resources In developing countries, internet access is limited, which hinders language learning and digital training for students and teachers. This situation widens the educational and technological gap, affecting the development of language skills necessary to access academic, employment, and cultural opportunities. This challenge proposes the development of an offline educational application based on artificial intelligence (AI) that allows users to learn languages using their own documents and those from the local environment (such as educational texts, news, local stories, or tales). The system will process this content without an internet connection and generate personalized interactive activities: translation, pronunciation, reading comprehension, vocabulary exercises, and automatic feedback. The application will be designed to run on computers with low computational performance, allowing for its implementation in rural schools, public cultural spaces, libraries, etc. The aim is to promote educational equity, autonomy in learning, and the ethical and inclusive use of artificial intelligence.
37. Inclusive Educational Assistant with AI for Students with ASD In the educational setting, children and young people with Autism Spectrum Disorder (ASD) face significant challenges in understanding emotions, maintaining routines, and participating in social interactions. Although specialized therapies exist, most are expensive, inaccessible, or lack technological tools adapted to each case. The proposal is to develop an intelligent educational assistant, designed with artificial intelligence and adaptive learning, to help students with ASD learn social and emotional skills through interactive and visual experiences.
15. Real-Time Bilingual Classrooms Create a generative translation tool that works in real time during classes, allowing students who are not fluent in the official language to follow the content and participate actively. The solution should be lightweight and accessible, designed for schools with basic devices.
8. Personalized Offline Assessment Propose a generative AI system that designs and corrects tests adaptively, taking into account the individual needs of each student. The challenge is for the tool to work offline or with limited connectivity, allowing rural or isolated schools to apply personalized assessments that motivate students and provide teachers with clear and practical feedback.
19. Social-Emotional Skills Coach Propose a generative assistant that creates dynamics, dialogues, and situations to help children work on empathy, conflict resolution, and collaboration. The challenge is to develop AI that not only generates academic content, but also resources that strengthen students' emotional well-being.
12. Virtual Laboratory Simulator Create a generative system that allows students to conduct science experiments (chemistry, physics, biology) through interactive digital simulations, without the need for physical equipment. The challenge is to offer safe and realistic experiences that complement practical teaching in schools that do not have laboratories.
6. Multilingual Virtual Tutor Design an educational assistant based on generative AI capable of offering explanations, answering questions, and translating content into the students' local language. The challenge is to make this tool work even in communities with multiple languages and dialects, helping to reduce the language gap that often limits learning in vulnerable environments. The system must be easy to use for both teachers and students, and work on low-cost devices.
AI with heart for education On the path to educational transformation, tools that manage tasks are not enough. The real challenge is to develop artificial intelligence that accompanies the human process of learning and growth—not as a control system, but as an empathetic ally. We envision an AI that understands the emotional rhythm of the student: that recognizes fatigue, celebrates small achievements, knows when to intervene and when to give space. A technology that connects the learner with their guide at the right moment, that adapts without judging, and that respects the vulnerability of the learning process. This is not a technical challenge. It is a human challenge. We are not looking for just another app. We are looking for a purposeful digital companion, designed by those who understand that education is not just productivity—it is transformation. If building something like this inspires you, this challenge is for you.
13. Smart School Library Propose an AI engine that transforms any available document (articles, books, guides) into versions adapted for different levels of comprehension, with summaries, glossaries, and practical examples. The goal is to facilitate access to knowledge for students with different learning paces.
7. Automatic Creation of Teaching Materials Develop a solution that allows teachers to automatically generate worksheets, exercises, summaries, and interactive activities adapted to the school curriculum. The goal is to free up preparation time and offer quality resources even in contexts where teachers have excessive workloads or do not have sufficient materials. The tool should allow for adjustments according to age and academic level.
31. Revolutionizing Math Learning with AI The project aims to develop an AI-based educational platform that revolutionizes math learning for elementary school children. The solution focuses on creating an interactive virtual tutor that offers clear explanations, personalized exercises, and immediate feedback. Using advanced AI technologies, this tutor can adapt to each student's pace, improving their understanding of key mathematical concepts and fostering the development of essential skills.
Elaine Harada
Elaine Harada is an associate professor at the Institute of Computing and director of the Distance Education Center at the Federal University of Amazonas (UFAM). She represents UFAM at the UNESCO UNITWIN Chair in Unplugged Artificial Intelligence in Education. She holds a Ph.D. in Computer Science in Education from the Federal University of Rio Grande do Sul and a B.Sc. in Computer Science from the University of São Paulo. She is a Senior Editor of the Journal of the Brazilian Society of Computing and a former Associate Editor of the Brazilian Journal of Computers in Education, and is also a Productivity Fellow of CNPq in Technological Development and Innovative Extension.
Her research combines computer education, data science, and cognitive learning, focusing on how Learning Analytics and adaptive learning pathways can improve how students learn to program. She aims to understand learning behaviors and enhance learning processes through data-rich environments.
11. Smart Teaching Mentor Develop an assistant for teachers that offers pedagogical suggestions, prepares classes, and suggests active methodologies according to the group of students. The challenge is for this AI to function as a “digital coach,” helping teachers in environments with limited continuing education and offering them support in planning and resolving pedagogical questions.
28. AI Tutor: Teaching Structural Diagnostics Design an interactive simulator that teaches engineering students to diagnose real structural damage. The tool should present visual cases (such as photos) and guide students in expert reasoning: prioritising the problem, planning the investigation, using technical terminology, and generating an action report. The goal is to transform field experience into an accessible, interactive, and multilingual lesson..
21. AI for Inclusive Education: Assisted observation system for teachers How can we design AI-based solutions that are ethical, non-invasive, and human-centered to help primary school teachers (children aged 6 to 11) identify early signs of neurodiversity, enabling more personalized and timely interventions that enhance each student's development?
18. Creation of School Glossaries and Dictionaries Design a solution that automatically generates glossaries and dictionaries from school materials, tailored to each subject and level. This will help students better understand technical or complex terms and will support teachers in preparing their classes.
34. Intelligent Assessment of Academic Evidence in PDF Format Using Teaching Rubrics The aim of the challenge is to facilitate the work of teachers by reducing working time and effort. The use of AI, established services such as Google Cloud, and automation platforms such as n8n will be implemented, and everything will be implemented in a manner as simple as using WhatsApp or Telegram, simply by sending text messages and giving instructions as if it were a personal assistant. There are also plans to add data analysis and personalised feedback to each student based on the observations made by the AI on their work.
AI-mediated internationalization through simultaneous translation This is simultaneous translation software that can be used in the internationalization process of professional and technological education. Taking into account the importance of maintaining the characteristics of speech.
Intelligent AI Tutoring for Students Develop an artificial intelligence-based platform that offers personalized tutoring for law students and students in other fields. The tool should adapt explanations, exercises, and resources to each student's level, providing interactive follow-up and immediate support without depending on the availability of teachers. Expected impact: Improves autonomous learning. Reduces the comprehension gap in digital education. Scalable to other disciplines with high theoretical content. Why it is interesting: Combines advanced technology with personalized education, offering a practical and innovative solution for demanding academic environments..
11. Smart Teaching Mentor Develop an assistant for teachers that offers pedagogical suggestions, prepares classes, and suggests active methodologies according to the group of students. The challenge is for this AI to function as a “digital coach,” helping teachers in environments with limited continuing education and offering them support in planning and resolving pedagogical questions.
Luis Enrique Corredera de Colsa
Luis Enrique Corredera de Colsa holds a PhD in software engineering and is Director of Artificial Intelligence at Deloitte Spain, where he leads teams specializing in the development of generative AI solutions to develop and facilitate the adoption of these technologies in large organizations, addressing key challenges such as value creation, governance, operations, ethics, and AI oversight. Throughout his career, he has collaborated with companies in various sectors, including universities, banking, healthcare, the public sector, manufacturing, and energy, helping them to boost their efficiency and identify new opportunities through disruptive technologies. In the field of education, he pioneered the development and implementation of technologies for e-learning and content adaptation. He also teaches master's degrees in Artificial Intelligence and Technology Business Management, contributing to the development of new generations of professionals in the field of artificial intelligence.
20. Gamified Learning with AI Develop a generator of personalized educational games that transform curricular content into playful dynamics adapted to the local context. The challenge is to increase student motivation and engagement, especially in communities where entertainment and gamification resources are scarce.
36. Digital Educational Innovation ‘EduNova’ Learn at your own pace Create a flexible, interactive, and accessible digital learning platform that allows students to progress at their own pace and learning style. Artificial intelligence is integrated to offer personalised study paths, dynamic content, and tracking tools that enhance the educational experience. It is available both online and offline, ensuring access even in contexts with limited connectivity. Key features: It works with adaptive AI that analyses student progress and adjusts content according to their level and performance, offering an intuitive interface accessible from any device and an immediate feedback system. In addition, it enables communication between teachers and students through integrated chat and automatic performance reports. Overall objective: To demonstrate that the integration of artificial intelligence in education can create an inclusive, personalised and efficient learning environment that fosters student autonomy and enables teaching without relying on a constant connection or advanced technological infrastructure.
Intelligent AI Tutoring for Students Develop an artificial intelligence-based platform that offers personalized tutoring for law students and students in other fields. The tool should adapt explanations, exercises, and resources to each student's level, providing interactive follow-up and immediate support without depending on the availability of teachers. Expected impact: Improves autonomous learning. Reduces the comprehension gap in digital education. Scalable to other disciplines with high theoretical content. Why it is interesting: Combines advanced technology with personalized education, offering a practical and innovative solution for demanding academic environments..
10. Local Narratives for Learning Design a platform that uses generative AI to create stories, tales, and examples contextualized with the culture, customs, and local reality of students. The goal is to encourage learning through familiar and relevant narratives, reinforcing cultural identity and increasing student motivation in the educational process.
5. Intelligent Evaluation of Academic Evidence in PDF Format with Teaching Rubrics We propose the development of an artificial intelligence-based platform that allows teachers to publish their academic activities along with their evaluation rubrics. Students will be able to attach their evidence in PDF format, which will be automatically evaluated by the system according to the criteria defined by the teacher. The platform will provide textual feedback, detect possible cases of plagiarism or formatting errors, and suggest actionable improvements. At the end of the academic period, the system will automatically generate a final grade for each student. This solution seeks to streamline the correction process, increase objectivity, and improve the quality of educational assessment.
Alejandro Marcos Diaz
I began my education with a double degree in Computer Engineering + Business Administration from UPSA, a Big Data Expert degree from UPSA, and a Master's degree in Big Data from UNIR. My career began as a Data Analyst intern at ProFuturo. I then worked at Turing Challenge and Minsait as an ML Engineer, developing end-to-end projects in both traditional AI and Generative AI. I am currently a Senior AI Engineer & Data Engineer at MAPFRE Spain. I create and maintain projects in production, integrating AI and Big Data processes that are used in the day-to-day running of the company and have a high impact.
Offline-resilient personalized learning
Key features: Works offline and adapts to student performance through a local engine.Uses free supervisory AI to update content and teaching strategies, even without a connectioCourses are distributed via USB, Bluetooth, or WhatsApp.Protects privacy with encryption and offers simple dashboards for teachers.Synchronizes data securely when connected. Objective: To demonstrate that it is possible to offer a scalable, inclusive, and fast educational solution that centralizes resources, adapts to any context, and continuously improves thanks to AI, without requiring advanced hardware.
Create a free, intuitive, and lightweight educational platform that works on low-resource devices (basic cell phones, older tablets, Windows PCs) and does not require a constant connection. It will be an all-in-one system with personalized learning paths that include lessons, exercises, podcasts, gamification, digital libraries, and links to academic journals.
30. Computers for Learning: Optimised Technology for Rural Schools In many rural schools, students do not have access to computers or technological tools that enable them to learn key subjects such as mathematics, English or programming. This reality limits their opportunities for academic development and their preparation for a digital future. The challenge seeks to create an educational computer concept using recycled or low-cost hardware, based on boards such as the Raspberry Pi (even older versions with reduced specifications), together with the minimum necessary elements: keyboard, mouse, and inexpensive screen. The use of 3D printing for the computer's support or protective casing is proposed. The proposal must include the development of lightweight applications with optimised artificial intelligence capable of functioning without an internet connection, which serve as virtual tutors to support learning in mathematics, English and programming. The aim is to offer sixth-grade children, who are about to move on to a new academic level, a real opportunity to strengthen their knowledge and learn through technology, even in places where resources are scarce.
19. Social-Emotional Skills Coach Propose a generative assistant that creates dynamics, dialogues, and situations to help children work on empathy, conflict resolution, and collaboration. The challenge is to develop AI that not only generates academic content, but also resources that strengthen students' emotional well-being.
6. Multilingual Virtual Tutor Design an educational assistant based on generative AI capable of offering explanations, answering questions, and translating content into the students' local language. The challenge is to make this tool work even in communities with multiple languages and dialects, helping to reduce the language gap that often limits learning in vulnerable environments. The system must be easy to use for both teachers and students, and work on low-cost devices.
Maria Emilia Velásquez
Educational psychologist with a Master's degree in Advanced Studies in Language, Communication, and Related Disorders, specializing in accessible communication and disability. She has worked in inclusive education with students with disabilities, refugees, and migrants, and is a founding member of SENIA Ecuador, where she promoted training in inclusive practices and the creation of support networks for people with disabilities. She is a researcher and author on inclusive education, an advocate for metacognition and social-emotional development, with a keen interest in technology and educational policy.
24. Technology for student well-being Design digital solutions that offer emotional, psychological, and social support to students, especially in contexts with limited connectivity. Objective: • Create apps or platforms adapted to environments with low connectivity. • Use AI to personalize learning. • Provide resources for teachers. • Include continuous assessment. • Promote the overall well-being of students. Expected impact: Promote projects with real social impact that are sustainable and inclusive, improving education in vulnerable communities.
32. Letter recognition for literacy using artificial vision The objective is to create a platform to help children who are learning to read and write to recognise and trace letters correctly, facilitating the literacy process through an accessible mobile application. The application will use the device's camera to recognise the letters traced by the student on a sheet of paper and will provide visual or auditory feedback if the letter is traced correctly or needs to be corrected. This application is especially useful in communities with limited resources as it allows learning without the need for advanced materials or an internet connection.
12. Virtual Laboratory Simulator Create a generative system that allows students to conduct science experiments (chemistry, physics, biology) through interactive digital simulations, without the need for physical equipment. The challenge is to offer safe and realistic experiences that complement practical teaching in schools that do not have laboratories.
16. Adaptive Curriculum Generator Design an AI that creates personalized learning paths based on each student's pace and style, adapting content and assessments. The challenge is to make the tool flexible and useful in multigrade classrooms or those with a wide range of skill levels, a common situation in rural or vulnerable schools.
AI-mediated internationalization through simultaneous translation This is simultaneous translation software that can be used in the internationalization process of professional and technological education. Taking into account the importance of maintaining the characteristics of speech.
16. Adaptive Curriculum Generator Design an AI that creates personalized learning paths based on each student's pace and style, adapting content and assessments. The challenge is to make the tool flexible and useful in multigrade classrooms or those with a wide range of skill levels, a common situation in rural or vulnerable schools.
39. Connecting Academic Motivation and Student Well-being The current educational ecosystem faces critical fragmentation. On the one hand, students manage their academic resources (notes, assignments, calendars) across multiple platforms and devices, leading to disorganization, loss of information, and a barrier to access that consumes valuable digital space. At the same time, student motivation plummets after the initial novelty wears off. Passive study methods cannot compete with the instant gratification of social media, leading to high rates of procrastination. Existing review tools tend to be generic, static, and do not encourage real-time interaction between peers. Finally, student well-being often takes a back seat. Communication channels for proposing improvements at the school are often non-existent or overly bureaucratic, and more seriously, systems for detecting and responding to bullying are slow, not anonymous, or not integrated into the platforms that students already use. The Challenge: We are looking for a comprehensive technological solution (web/app) that tackles these three fronts simultaneously: Organization: How can we centralize students' academic lives in the cloud, freeing up their devices and facilitating access to knowledge? Motivation and Engagement: How can we use advanced gamification mechanics and Artificial Intelligence to transform passive study into an active, motivating, and competitive experience? Well-being and Community: How can this same platform create a safer school environment, providing anonymous and effective communication channels for both continuous improvement and the immediate activation of well-being protocols?
EN ¿Qué es #Hack4edu?
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Transcript
#Hack4Edu is now underway!
From October 27 to 31 (CET), here you will find streaming access, agenda, community, challenges, mentoring, AI resources, and project submissions. Get ready to ideate, prototype, and transform education with innovation.
AGENDA EVENT 27-31 OCT
Jury 2025
Register as a Hacker
Register as University
Awards
Register
Register
List of challenges
Participation bases
Presentation agenda for prototypes on the 31st International Jury
Participate
days
hrs
hrs
mins
hrs
mins
mins
hrs
secs
00:00:00:00
And so came the sixth edition of the hackathon, dedicated to addressing and solving technological challenges related to digital education and artificial intelligence.
Participate as a university!
Participate as a hacker!
Participate as a partner university or higher education institution
If you are a university/higher education institution and are interested in #Hack4edu, don't hesitate to participate!
HOW DO YOU PARTICIPATE?
CODE OF ETHICAL CONDUCT
RULES FOR PARTICIPATION
LETTER OF MEMBERSHIP
Participate
days
hrs
hrs
mins
hrs
mins
mins
hrs
secs
00:00:00:00
And so came the sixth edition of the hackathon aimed at addressing and solving technological challenges related to the challenges posed by digital education and artificial intelligence.
Participate as a university!
Participate as a hacker!
Participate as a hacker
Would you like to participate in the fifth edition of the international hackathon dedicated to digital education and find solutions to the new challenges posed this year with Artificial Intelligence?
HOW TO PARTICIPATE? Participating as a hacker in a hackathon is a unique opportunity to test your skills, collaborate with other talented individuals, and transform ideas into real solutions in a limited amount of time. To do so, you just need to register for the event, either individually or as a team, and be ready to take on one of our challenges. During the hackathon, you will develop prototypes, present your proposal to a jury, and, most importantly, learn, connect, and grow in a creative, collaborative, and energetic environment. You don't need to be an expert, just eager to create! Don't hesitate, find your university or higher education partner and become a hacker in the new #hack4edu call by filling out the following form!
Participate
CODE OF ETHICAL CONDUCT
Submit your challenge
Do you have an idea you would like our hackers to solve?
Do you have an educational challenge in mind that needs an innovative solution? 📣 This is your moment! At #hack4Edu, we consider any problem or need related to digital education that can be solved with technology to be a challenge. We invite you to submit your challenge and be part of the engine driving educational transformation. Hackathon hackers will take it on as their mission, developing creative, viable solutions with real impact. 🚀 Because every great breakthrough starts with a good question... what's yours?💡
Send your challenge
Latest challenges posted: starting August 14
1. AI with heart for education
9. Inclusive Content Generator
2. Intelligent AI Tutoring for Students
10. Local Narratives for Learning
11. Smart Teaching Mentor
3. AI-mediated internationalization through simultaneous translation
4. Offline-resilient personalized learning
12. Virtual Laboratory Simulator
5. Intelligent Evaluation of Academic Evidence in PDF Format with Teaching Rubrics
13. Smart School Library
14. Detecting and Preventing School Dropouts
6. Multilingual Virtual Tutor
15. Real-Time Bilingual Classrooms
7. Automatic Creation of Teaching Materials
16. Adaptive Curriculum Generator
8. Personalized Offline Assessment
Next
Submit your challenge
Do you have an idea you would like our hackers to solve?
Do you have an educational challenge in mind that needs an innovative solution? 📣 This is your moment! At #hack4Edu, we consider any problem or need related to digital education that can be solved with technology to be a challenge. We invite you to submit your challenge and be part of the engine driving educational transformation. Hackathon hackers will take it on as their mission, developing creative, viable solutions with real impact. 🚀 Because every great breakthrough starts with a good question... what's yours?💡
Send your challenge
Latest challenges posted: starting August 14
17. Production of Educational Audiovisual Resources
24. Technology for student well-being
25. Automatic generation of educational mini-podcasts with AI
18. Creation of School Glossaries and Dictionaries
26. Inclusive learning without an internet connection
19. Social-Emotional Skills Coach
27. Personalized AI mentor for elder care
20. Gamified Learning with AI
28. AI Tutor: Teaching Structural Diagnostics
29. Local AI for Language Learning with Limited Resources
21. Inclusive education with AI: teaching assistance
30. Computers for Learning: Optimised Technology for Rural Schools
22. ReConnect with learning
31. Revolutionizing Math Learning with AI
23. Mobile app with real-time interpretation of Mexican Sign Language (LSM)
32. Letter recognition for literacy using artificial vision
33. Learning Cultural Diversity through Artificial Intelligence
Previous
Next
Submit your challenge
Do you have an idea you would like our hackers to solve?
Do you have an educational challenge in mind that needs an innovative solution? 📣 This is your moment! At #hack4Edu, we consider any problem or need related to digital education that can be solved with technology to be a challenge. We invite you to submit your challenge and be part of the engine driving educational transformation. Hackathon hackers will take it on as their mission, developing creative, viable solutions with real impact. 🚀 Because every great breakthrough starts with a good question... what's yours?💡
Send your challenge
Latest challenges posted: starting August 14
34. Intelligent Assessment of Academic Evidence in PDF Format Using Teaching Rubrics
35. Production of Educational Audiovisual Resources
36. Digital Educational Innovation ‘EduNova’ Learn at your own pace
37. Inclusive Educational Assistant with AI for Students with ASD
38. AI Colmena
39. Connecting Academic Motivation and Student Well-being
Previous
Jury 2025
A distinguished jury to promote educational innovation with social impact.
In this sixth edition of Hack4Edu, the jury is composed of a panel of experts in artificial intelligence, digital education, and technological innovation from universities, social organizations, and companies in the sector. Their mission is to rigorously evaluate the projects, recognizing those proposals that best integrate technology and educational purpose with real impact.
Awards
A. Innovative Awards
B. Senior category awards
The Telefónica-ProFuturo Chair (UPSA) will award three prizes of €1,500, €1,200, and €700 to the three best projects from all participants in this category.
The Telefónica-ProFuturo Chair (UPSA) will award three prizes of €1,500, €1,000 and €700 to the three best projects from all participants in this category.
C. Social Impact Award (new category)
The Telefónica-ProFuturo Chair (UPSA) will award a prize of €700 to the best project that responds to a real educational challenge and demonstrates high potential for social impact, especially in vulnerable contexts or those with access gaps. The project's potential for transformation in the educational community, its inclusive and equitable approach, the sustainability of the project, its scalability, and the ethical and responsible use of artificial intelligence will be evaluated. This award focuses on the power of technology in the service of the common good.
D. Publication in Springer
Each venue will have the opportunity to publish a research article with the prestigious Springer publishing house. These articles will focus on the projects developed during the hackathon and will be compiled in a journal that will bring together the research from all participating universities. The official presentation of this publication will take place in 2026 at the Pontifical University of Salamanca, in a hybrid event.
FAQs
Frequently asked questions about our hackathon
If you are thinking about participating in #hack4Edu or want to propose a challenge, it is normal to have questions. To help you, we have compiled the most frequently asked questions about how the hackathon works, who can participate, how to submit challenges, the stages of the event, and much more. Here you will find everything you need to know to join this educational innovation experience. 🚀
It is a collaborative event to solve real challenges in digital education and artificial intelligence through innovative technological solutions.
It is not mandatory, but it is recommended that at least one member of the team has this skill in order to address the challenges posed.
Students, teachers, and experts regardless of their background, individually or in teams.
Can I participate individually or do I need a team?
Is it necessary to have technical or programming knowledge to participate?
Through the website hack4edu.org, until October 24, 2025, at 11:59 p.m. (local time).
How do I register, and when is the deadline?
What is a hackathon and what is #Hack4Edu?
Who can participate in the hackathon?
You can register individually and then join a team during networking sessions or form your own.
Yes, each venue will receive technical and educational support, as well as virtual sessions to answer questions and guide the teams.
Technological challenges that respond to digital education issues, with potential for practical application and scalability.
From October 27 to 29, 2025, with working sessions, networking, and prototype presentations on October 31.
Creativity, technical quality, market transferability, and a focus on solving educational challenges with AI.
Yes, in two categories: Innovative, Senior, and a new Social Impact award.
Are there prizes? What are the categories?
Will there be mentors or support during the hackathon?
How long does the hackathon last and how is the time organized?
What criteria will the jury use to evaluate the projects?
What kind of challenges might arise?
They can be new projects (innovative category) or based on previous work (senior category), provided that the parts developed during the hackathon are clearly specified.
You can register individually and join a project during the networking session on October 27 or by filling out the forms available on the website.
It is a hybrid event: you can participate from physical venues or online, with networking sessions and virtual project presentations.
The property is 100% owned by the participants, but projects must be shared under free licenses for evaluation and dissemination.
What about the copyright and intellectual property rights of the projects submitted?
Do projects have to be completely new, or can they be based on previous ideas?
Can more than one prize be awarded per person or team?
What happens if I don't have the equipment to participate?
No, the same participant or team cannot receive more than one prize in #hack4Edu.
Is the hackathon in-person, virtual or hybrid?
Return
Agenda
Coming soon
Videos
Launch of the 6th edition of #Hack4Edu
Webinar 'From challenge to achievement: key project management skills in a hackathon'
Inauguration of the 6th edition of hack4edu
10. Local Narratives for Learning Design a platform that uses generative AI to create stories, tales, and examples contextualized with the culture, customs, and local reality of students. The goal is to encourage learning through familiar and relevant narratives, reinforcing cultural identity and increasing student motivation in the educational process.
AI with heart for education On the path to educational transformation, tools that manage tasks are not enough. The real challenge is to develop artificial intelligence that accompanies the human process of learning and growth—not as a control system, but as an empathetic ally. We envision an AI that understands the emotional rhythm of the student: that recognizes fatigue, celebrates small achievements, knows when to intervene and when to give space. A technology that connects the learner with their guide at the right moment, that adapts without judging, and that respects the vulnerability of the learning process. This is not a technical challenge. It is a human challenge. We are not looking for just another app. We are looking for a purposeful digital companion, designed by those who understand that education is not just productivity—it is transformation. If building something like this inspires you, this challenge is for you.
17. Production of Educational Audiovisual Resources Develop a system that allows teachers to generate explanatory educational videos from simple texts or outlines, using synthetic voice and animations. The goal is to offer engaging and easy-to-understand classes, even in contexts with limited audiovisual resources.
14. Detecting and Preventing School Dropouts Design a system for analyzing and generating educational alerts that, based on student interaction with platforms, detects signs of demotivation or risk of dropping out. The challenge is for AI to generate personalized recommendations for both teachers and students and their families, helping to intervene before disengagement occurs.
13. Smart School Library Propose an AI engine that transforms any available document (articles, books, guides) into versions adapted for different levels of comprehension, with summaries, glossaries, and practical examples. The goal is to facilitate access to knowledge for students with different learning paces.
8. Personalized Offline Assessment Propose a generative AI system that designs and corrects tests adaptively, taking into account the individual needs of each student. The challenge is for the tool to work offline or with limited connectivity, allowing rural or isolated schools to apply personalized assessments that motivate students and provide teachers with clear and practical feedback.
Select the university you belong to:
27. Personalized AI mentor for elder care Develop an artificial intelligence platform or module that functions as a personalized learning mentor for caregivers of older adults. The tool should detect knowledge gaps, learning styles, and specific responsibilities for each user, generating a tailored study path. The AI will adjust explanations, exercises, resources, and feedback to the caregiver's level, ensuring that the content is useful and applicable to the real challenges of daily care..
9. Inclusive Content Generator Create a generative AI engine that automatically transforms educational materials into accessible formats: audio for students with visual impairments, sign language captions for those with hearing impairments, or simplified readings for children with comprehension difficulties. The challenge is to ensure that no student is left behind, regardless of their abilities.
23. Mobile app with real-time interpretation of Mexican Sign Language (LSM) An app that uses computer vision AI to interpret LSM gestures captured by the device's camera in real time. The AI translates these gestures into text or speech, facilitating communication between deaf and hearing people. It also incorporates an interactive 3D avatar that not only reproduces the translations, but also teaches signs to the hearing user, creating a gamified educational experience.
21. Inclusive education with AI: teaching assistance How can we design AI-based solutions that are ethical, non-invasive, and human-centered to help primary school teachers (children aged 6 to 11) identify early signs of neurodiversity, enabling more personalized and timely interventions that enhance each student's development?
Automatic review of PDF assignments based on the teacher's rubric. AI-based platform that analyzes PDF assignments and automatically grades them according to the evaluation parameters (rubric) uploaded by the teacher. It provides textual feedback, detects plagiarism/formatting issues, and suggests actionable improvements. Ideal for speeding up correction and increasing consistency in evaluation.
17. Production of Educational Audiovisual Resources Develop a system that allows teachers to generate explanatory educational videos from simple texts or outlines, using synthetic voice and animations. The goal is to offer engaging and easy-to-understand classes, even in contexts with limited audiovisual resources.
9. Inclusive Content Generator Create a generative AI engine that automatically transforms educational materials into accessible formats: audio for students with visual impairments, sign language captions for those with hearing impairments, or simplified readings for children with comprehension difficulties. The challenge is to ensure that no student is left behind, regardless of their abilities.
FRANCISCO ILDEFONSO DOMINGUEZ LOSADA
I graduated in Computer Engineering from the Pontifical University of Salamanca (2012-2016), with postgraduate training in Big Data and a MIMO Master's degree. I began my professional career in 2016 as an intern at Telefónica I+D (Telefónica Research and Development), working as a Big Data platform administrator and managing data-related aspects. I then joined Telefónica Wholesale Services (TIWS) in the Security Engineering department, where I worked and trained in the areas of security and networks until 2018, when I returned to Telefónica I+D (Telefónica Digital Innovation), where I am part of the Integration and Delivery team, working as a Data Engineer and Big Data Cloud Solution Architect.
22. ReConnect with learning In many classrooms, some students fall behind without anyone noticing, leading to frustration and inequality. The challenge is to create a technological solution that detects in real time when a student does not understand the content and offers personalized support. This tool could use artificial intelligence or learning analytics to identify signs of confusion, suggest tailored resources, and alert the teacher. The goal is to achieve a more inclusive and empathetic education, where no one is left behind.
20. Gamified Learning with AI Develop a generator of personalized educational games that transform curricular content into playful dynamics adapted to the local context. The challenge is to increase student motivation and engagement, especially in communities where entertainment and gamification resources are scarce.
14. Detecting and Preventing School Dropouts Design a system for analyzing and generating educational alerts that, based on student interaction with platforms, detects signs of demotivation or risk of dropping out. The challenge is for AI to generate personalized recommendations for both teachers and students and their families, helping to intervene before disengagement occurs.
38. AI Colmena Current educational tools, which depend on the internet and high-performance equipment, widen the digital divide by excluding those who most need learning opportunities. This technological inequality not only limits academic training, but also opportunities for employment and social participation in an increasingly digitized environment. In this context, there is a need to develop a digital education system based on generative artificial intelligence. Furthermore, access to personalized AI tutors is a reality in urban areas, but remains a utopia in rural schools, where internet connectivity is limited and equipping each student with a powerful computer is economically unfeasible. Therefore, the challenge focuses on a radically scalable solution: an “AI Hive” system, in which a single low-resource computer such as a Raspberry Pi functions as the central “brain” of an entire classroom. This unit will serve as a micro-server and autonomous Wi-Fi access point, creating its own local network without the need for the internet, hosting an optimized AI tutor and allowing all students to connect simultaneously with the devices they already own, no matter how basic they may be. Its main objective is to reduce technological poverty through an inclusive, resilient, and scalable platform that ensures universal access to STEM learning even in contexts with limited connectivity or minimal technological resources.
18. Creation of School Glossaries and Dictionaries Design a solution that automatically generates glossaries and dictionaries from school materials, tailored to each subject and level. This will help students better understand technical or complex terms and will support teachers in preparing their classes.
7. Automatic Creation of Teaching Materials Develop a solution that allows teachers to automatically generate worksheets, exercises, summaries, and interactive activities adapted to the school curriculum. The goal is to free up preparation time and offer quality resources even in contexts where teachers have excessive workloads or do not have sufficient materials. The tool should allow for adjustments according to age and academic level.
15. Real-Time Bilingual Classrooms Create a generative translation tool that works in real time during classes, allowing students who are not fluent in the official language to follow the content and participate actively. The solution should be lightweight and accessible, designed for schools with basic devices.
Offline-resilient personalized learning
Key features: Works offline and adapts to student performance through a local engine.Uses free supervisory AI to update content and teaching strategies, even without a connectioCourses are distributed via USB, Bluetooth, or WhatsApp.Protects privacy with encryption and offers simple dashboards for teachers.Synchronizes data securely when connected. Objective: To demonstrate that it is possible to offer a scalable, inclusive, and fast educational solution that centralizes resources, adapts to any context, and continuously improves thanks to AI, without requiring advanced hardware.
Create a free, intuitive, and lightweight educational platform that works on low-resource devices (basic cell phones, older tablets, Windows PCs) and does not require a constant connection. It will be an all-in-one system with personalized learning paths that include lessons, exercises, podcasts, gamification, digital libraries, and links to academic journals.
26. Inclusive learning without an internet connection Design a digital educational solution that facilitates learning in diverse contexts, including those with connectivity limitations. The proposal must incorporate principles of accessibility and inclusion to ensure that students with different profiles can benefit. We are looking for a tool that strengthens the link between technology and education, respecting cultural diversity and promoting equity in access to knowledge.
25. Automatic generation of educational mini-podcasts with AI Currently, many students find it difficult to maintain their attention and interest in lengthy or uninteractive teaching materials. This challenge proposes the development of a technological solution based on artificial intelligence, capable of transforming school content into short, dynamic educational mini-podcasts that facilitate auditory learning and the review of key concepts.
33. Learning Cultural Diversity through Artificial Intelligence An artificial intelligence solution is proposed that is capable of learning and recognising folk traditions from different regions. The aim is to promote the appreciation and preservation of cultural diversity by automatically identifying the region of origin of a specific folk tradition. To do this, the AI must be able to analyse images, videos of dances, folk costumes, musical instruments and any other folk heritage to identify unique cultural elements and relate them to specific geographical regions. The solution must be accessible to users with no experience in AI, such as students, teachers and culture enthusiasts. In addition to identifying traditions, the AI must provide additional information about the history and cultural significance of each folk tradition.
35. Learning from Nature with Artificial Intelligence Propose an educational solution based on generative artificial intelligence that motivates children to explore, observe, and learn from the natural environment in a creative and accessible way. The challenge is to develop a technology that combines environmental education and digital learning, capable of generating personalized activities, stories, or experiences that connect children with nature, even in contexts with limited resources or connectivity.
Mariela Canessa Rodríguez – Volunteering Initiatives at Fundación TelefónicaMariela has a degree in Administration and more than 10 years of experience in the field of social action and corporate volunteering. At the beginning of her career, she worked in business areas such as Finance at IBM, and since 2005 in Marketing and Product at Telefónica de Argentina. She joined Fundación Telefónica in 2013, coordinating volunteering activities in Argentina, and joined the Foundation in Spain in 2016 to continue developing her professional career in social action and volunteering projects, performing various functions ranging from international programme coordination, digital volunteering, digital platform coordination, educational innovation projects, and safe and responsible use of technology. She sees volunteering and the design of social projects as an essential tool on both a personal and professional level, firmly believing that every action leaves a mark on all parties involved, creating a healthier and more inclusive society.
29. Local AI for Language Learning with Limited Resources In developing countries, internet access is limited, which hinders language learning and digital training for students and teachers. This situation widens the educational and technological gap, affecting the development of language skills necessary to access academic, employment, and cultural opportunities. This challenge proposes the development of an offline educational application based on artificial intelligence (AI) that allows users to learn languages using their own documents and those from the local environment (such as educational texts, news, local stories, or tales). The system will process this content without an internet connection and generate personalized interactive activities: translation, pronunciation, reading comprehension, vocabulary exercises, and automatic feedback. The application will be designed to run on computers with low computational performance, allowing for its implementation in rural schools, public cultural spaces, libraries, etc. The aim is to promote educational equity, autonomy in learning, and the ethical and inclusive use of artificial intelligence.
37. Inclusive Educational Assistant with AI for Students with ASD In the educational setting, children and young people with Autism Spectrum Disorder (ASD) face significant challenges in understanding emotions, maintaining routines, and participating in social interactions. Although specialized therapies exist, most are expensive, inaccessible, or lack technological tools adapted to each case. The proposal is to develop an intelligent educational assistant, designed with artificial intelligence and adaptive learning, to help students with ASD learn social and emotional skills through interactive and visual experiences.
15. Real-Time Bilingual Classrooms Create a generative translation tool that works in real time during classes, allowing students who are not fluent in the official language to follow the content and participate actively. The solution should be lightweight and accessible, designed for schools with basic devices.
8. Personalized Offline Assessment Propose a generative AI system that designs and corrects tests adaptively, taking into account the individual needs of each student. The challenge is for the tool to work offline or with limited connectivity, allowing rural or isolated schools to apply personalized assessments that motivate students and provide teachers with clear and practical feedback.
19. Social-Emotional Skills Coach Propose a generative assistant that creates dynamics, dialogues, and situations to help children work on empathy, conflict resolution, and collaboration. The challenge is to develop AI that not only generates academic content, but also resources that strengthen students' emotional well-being.
12. Virtual Laboratory Simulator Create a generative system that allows students to conduct science experiments (chemistry, physics, biology) through interactive digital simulations, without the need for physical equipment. The challenge is to offer safe and realistic experiences that complement practical teaching in schools that do not have laboratories.
6. Multilingual Virtual Tutor Design an educational assistant based on generative AI capable of offering explanations, answering questions, and translating content into the students' local language. The challenge is to make this tool work even in communities with multiple languages and dialects, helping to reduce the language gap that often limits learning in vulnerable environments. The system must be easy to use for both teachers and students, and work on low-cost devices.
AI with heart for education On the path to educational transformation, tools that manage tasks are not enough. The real challenge is to develop artificial intelligence that accompanies the human process of learning and growth—not as a control system, but as an empathetic ally. We envision an AI that understands the emotional rhythm of the student: that recognizes fatigue, celebrates small achievements, knows when to intervene and when to give space. A technology that connects the learner with their guide at the right moment, that adapts without judging, and that respects the vulnerability of the learning process. This is not a technical challenge. It is a human challenge. We are not looking for just another app. We are looking for a purposeful digital companion, designed by those who understand that education is not just productivity—it is transformation. If building something like this inspires you, this challenge is for you.
13. Smart School Library Propose an AI engine that transforms any available document (articles, books, guides) into versions adapted for different levels of comprehension, with summaries, glossaries, and practical examples. The goal is to facilitate access to knowledge for students with different learning paces.
7. Automatic Creation of Teaching Materials Develop a solution that allows teachers to automatically generate worksheets, exercises, summaries, and interactive activities adapted to the school curriculum. The goal is to free up preparation time and offer quality resources even in contexts where teachers have excessive workloads or do not have sufficient materials. The tool should allow for adjustments according to age and academic level.
31. Revolutionizing Math Learning with AI The project aims to develop an AI-based educational platform that revolutionizes math learning for elementary school children. The solution focuses on creating an interactive virtual tutor that offers clear explanations, personalized exercises, and immediate feedback. Using advanced AI technologies, this tutor can adapt to each student's pace, improving their understanding of key mathematical concepts and fostering the development of essential skills.
Elaine Harada
Elaine Harada is an associate professor at the Institute of Computing and director of the Distance Education Center at the Federal University of Amazonas (UFAM). She represents UFAM at the UNESCO UNITWIN Chair in Unplugged Artificial Intelligence in Education. She holds a Ph.D. in Computer Science in Education from the Federal University of Rio Grande do Sul and a B.Sc. in Computer Science from the University of São Paulo. She is a Senior Editor of the Journal of the Brazilian Society of Computing and a former Associate Editor of the Brazilian Journal of Computers in Education, and is also a Productivity Fellow of CNPq in Technological Development and Innovative Extension. Her research combines computer education, data science, and cognitive learning, focusing on how Learning Analytics and adaptive learning pathways can improve how students learn to program. She aims to understand learning behaviors and enhance learning processes through data-rich environments.
11. Smart Teaching Mentor Develop an assistant for teachers that offers pedagogical suggestions, prepares classes, and suggests active methodologies according to the group of students. The challenge is for this AI to function as a “digital coach,” helping teachers in environments with limited continuing education and offering them support in planning and resolving pedagogical questions.
28. AI Tutor: Teaching Structural Diagnostics Design an interactive simulator that teaches engineering students to diagnose real structural damage. The tool should present visual cases (such as photos) and guide students in expert reasoning: prioritising the problem, planning the investigation, using technical terminology, and generating an action report. The goal is to transform field experience into an accessible, interactive, and multilingual lesson..
21. AI for Inclusive Education: Assisted observation system for teachers How can we design AI-based solutions that are ethical, non-invasive, and human-centered to help primary school teachers (children aged 6 to 11) identify early signs of neurodiversity, enabling more personalized and timely interventions that enhance each student's development?
18. Creation of School Glossaries and Dictionaries Design a solution that automatically generates glossaries and dictionaries from school materials, tailored to each subject and level. This will help students better understand technical or complex terms and will support teachers in preparing their classes.
34. Intelligent Assessment of Academic Evidence in PDF Format Using Teaching Rubrics The aim of the challenge is to facilitate the work of teachers by reducing working time and effort. The use of AI, established services such as Google Cloud, and automation platforms such as n8n will be implemented, and everything will be implemented in a manner as simple as using WhatsApp or Telegram, simply by sending text messages and giving instructions as if it were a personal assistant. There are also plans to add data analysis and personalised feedback to each student based on the observations made by the AI on their work.
AI-mediated internationalization through simultaneous translation This is simultaneous translation software that can be used in the internationalization process of professional and technological education. Taking into account the importance of maintaining the characteristics of speech.
Intelligent AI Tutoring for Students Develop an artificial intelligence-based platform that offers personalized tutoring for law students and students in other fields. The tool should adapt explanations, exercises, and resources to each student's level, providing interactive follow-up and immediate support without depending on the availability of teachers. Expected impact: Improves autonomous learning. Reduces the comprehension gap in digital education. Scalable to other disciplines with high theoretical content. Why it is interesting: Combines advanced technology with personalized education, offering a practical and innovative solution for demanding academic environments..
11. Smart Teaching Mentor Develop an assistant for teachers that offers pedagogical suggestions, prepares classes, and suggests active methodologies according to the group of students. The challenge is for this AI to function as a “digital coach,” helping teachers in environments with limited continuing education and offering them support in planning and resolving pedagogical questions.
Luis Enrique Corredera de Colsa
Luis Enrique Corredera de Colsa holds a PhD in software engineering and is Director of Artificial Intelligence at Deloitte Spain, where he leads teams specializing in the development of generative AI solutions to develop and facilitate the adoption of these technologies in large organizations, addressing key challenges such as value creation, governance, operations, ethics, and AI oversight. Throughout his career, he has collaborated with companies in various sectors, including universities, banking, healthcare, the public sector, manufacturing, and energy, helping them to boost their efficiency and identify new opportunities through disruptive technologies. In the field of education, he pioneered the development and implementation of technologies for e-learning and content adaptation. He also teaches master's degrees in Artificial Intelligence and Technology Business Management, contributing to the development of new generations of professionals in the field of artificial intelligence.
20. Gamified Learning with AI Develop a generator of personalized educational games that transform curricular content into playful dynamics adapted to the local context. The challenge is to increase student motivation and engagement, especially in communities where entertainment and gamification resources are scarce.
36. Digital Educational Innovation ‘EduNova’ Learn at your own pace Create a flexible, interactive, and accessible digital learning platform that allows students to progress at their own pace and learning style. Artificial intelligence is integrated to offer personalised study paths, dynamic content, and tracking tools that enhance the educational experience. It is available both online and offline, ensuring access even in contexts with limited connectivity. Key features: It works with adaptive AI that analyses student progress and adjusts content according to their level and performance, offering an intuitive interface accessible from any device and an immediate feedback system. In addition, it enables communication between teachers and students through integrated chat and automatic performance reports. Overall objective: To demonstrate that the integration of artificial intelligence in education can create an inclusive, personalised and efficient learning environment that fosters student autonomy and enables teaching without relying on a constant connection or advanced technological infrastructure.
Intelligent AI Tutoring for Students Develop an artificial intelligence-based platform that offers personalized tutoring for law students and students in other fields. The tool should adapt explanations, exercises, and resources to each student's level, providing interactive follow-up and immediate support without depending on the availability of teachers. Expected impact: Improves autonomous learning. Reduces the comprehension gap in digital education. Scalable to other disciplines with high theoretical content. Why it is interesting: Combines advanced technology with personalized education, offering a practical and innovative solution for demanding academic environments..
10. Local Narratives for Learning Design a platform that uses generative AI to create stories, tales, and examples contextualized with the culture, customs, and local reality of students. The goal is to encourage learning through familiar and relevant narratives, reinforcing cultural identity and increasing student motivation in the educational process.
5. Intelligent Evaluation of Academic Evidence in PDF Format with Teaching Rubrics We propose the development of an artificial intelligence-based platform that allows teachers to publish their academic activities along with their evaluation rubrics. Students will be able to attach their evidence in PDF format, which will be automatically evaluated by the system according to the criteria defined by the teacher. The platform will provide textual feedback, detect possible cases of plagiarism or formatting errors, and suggest actionable improvements. At the end of the academic period, the system will automatically generate a final grade for each student. This solution seeks to streamline the correction process, increase objectivity, and improve the quality of educational assessment.
Alejandro Marcos Diaz
I began my education with a double degree in Computer Engineering + Business Administration from UPSA, a Big Data Expert degree from UPSA, and a Master's degree in Big Data from UNIR. My career began as a Data Analyst intern at ProFuturo. I then worked at Turing Challenge and Minsait as an ML Engineer, developing end-to-end projects in both traditional AI and Generative AI. I am currently a Senior AI Engineer & Data Engineer at MAPFRE Spain. I create and maintain projects in production, integrating AI and Big Data processes that are used in the day-to-day running of the company and have a high impact.
Offline-resilient personalized learning
Key features: Works offline and adapts to student performance through a local engine.Uses free supervisory AI to update content and teaching strategies, even without a connectioCourses are distributed via USB, Bluetooth, or WhatsApp.Protects privacy with encryption and offers simple dashboards for teachers.Synchronizes data securely when connected. Objective: To demonstrate that it is possible to offer a scalable, inclusive, and fast educational solution that centralizes resources, adapts to any context, and continuously improves thanks to AI, without requiring advanced hardware.
Create a free, intuitive, and lightweight educational platform that works on low-resource devices (basic cell phones, older tablets, Windows PCs) and does not require a constant connection. It will be an all-in-one system with personalized learning paths that include lessons, exercises, podcasts, gamification, digital libraries, and links to academic journals.
30. Computers for Learning: Optimised Technology for Rural Schools In many rural schools, students do not have access to computers or technological tools that enable them to learn key subjects such as mathematics, English or programming. This reality limits their opportunities for academic development and their preparation for a digital future. The challenge seeks to create an educational computer concept using recycled or low-cost hardware, based on boards such as the Raspberry Pi (even older versions with reduced specifications), together with the minimum necessary elements: keyboard, mouse, and inexpensive screen. The use of 3D printing for the computer's support or protective casing is proposed. The proposal must include the development of lightweight applications with optimised artificial intelligence capable of functioning without an internet connection, which serve as virtual tutors to support learning in mathematics, English and programming. The aim is to offer sixth-grade children, who are about to move on to a new academic level, a real opportunity to strengthen their knowledge and learn through technology, even in places where resources are scarce.
19. Social-Emotional Skills Coach Propose a generative assistant that creates dynamics, dialogues, and situations to help children work on empathy, conflict resolution, and collaboration. The challenge is to develop AI that not only generates academic content, but also resources that strengthen students' emotional well-being.
6. Multilingual Virtual Tutor Design an educational assistant based on generative AI capable of offering explanations, answering questions, and translating content into the students' local language. The challenge is to make this tool work even in communities with multiple languages and dialects, helping to reduce the language gap that often limits learning in vulnerable environments. The system must be easy to use for both teachers and students, and work on low-cost devices.
Maria Emilia Velásquez
Educational psychologist with a Master's degree in Advanced Studies in Language, Communication, and Related Disorders, specializing in accessible communication and disability. She has worked in inclusive education with students with disabilities, refugees, and migrants, and is a founding member of SENIA Ecuador, where she promoted training in inclusive practices and the creation of support networks for people with disabilities. She is a researcher and author on inclusive education, an advocate for metacognition and social-emotional development, with a keen interest in technology and educational policy.
24. Technology for student well-being Design digital solutions that offer emotional, psychological, and social support to students, especially in contexts with limited connectivity. Objective: • Create apps or platforms adapted to environments with low connectivity. • Use AI to personalize learning. • Provide resources for teachers. • Include continuous assessment. • Promote the overall well-being of students. Expected impact: Promote projects with real social impact that are sustainable and inclusive, improving education in vulnerable communities.
32. Letter recognition for literacy using artificial vision The objective is to create a platform to help children who are learning to read and write to recognise and trace letters correctly, facilitating the literacy process through an accessible mobile application. The application will use the device's camera to recognise the letters traced by the student on a sheet of paper and will provide visual or auditory feedback if the letter is traced correctly or needs to be corrected. This application is especially useful in communities with limited resources as it allows learning without the need for advanced materials or an internet connection.
12. Virtual Laboratory Simulator Create a generative system that allows students to conduct science experiments (chemistry, physics, biology) through interactive digital simulations, without the need for physical equipment. The challenge is to offer safe and realistic experiences that complement practical teaching in schools that do not have laboratories.
16. Adaptive Curriculum Generator Design an AI that creates personalized learning paths based on each student's pace and style, adapting content and assessments. The challenge is to make the tool flexible and useful in multigrade classrooms or those with a wide range of skill levels, a common situation in rural or vulnerable schools.
AI-mediated internationalization through simultaneous translation This is simultaneous translation software that can be used in the internationalization process of professional and technological education. Taking into account the importance of maintaining the characteristics of speech.
16. Adaptive Curriculum Generator Design an AI that creates personalized learning paths based on each student's pace and style, adapting content and assessments. The challenge is to make the tool flexible and useful in multigrade classrooms or those with a wide range of skill levels, a common situation in rural or vulnerable schools.
39. Connecting Academic Motivation and Student Well-being The current educational ecosystem faces critical fragmentation. On the one hand, students manage their academic resources (notes, assignments, calendars) across multiple platforms and devices, leading to disorganization, loss of information, and a barrier to access that consumes valuable digital space. At the same time, student motivation plummets after the initial novelty wears off. Passive study methods cannot compete with the instant gratification of social media, leading to high rates of procrastination. Existing review tools tend to be generic, static, and do not encourage real-time interaction between peers. Finally, student well-being often takes a back seat. Communication channels for proposing improvements at the school are often non-existent or overly bureaucratic, and more seriously, systems for detecting and responding to bullying are slow, not anonymous, or not integrated into the platforms that students already use. The Challenge: We are looking for a comprehensive technological solution (web/app) that tackles these three fronts simultaneously: Organization: How can we centralize students' academic lives in the cloud, freeing up their devices and facilitating access to knowledge? Motivation and Engagement: How can we use advanced gamification mechanics and Artificial Intelligence to transform passive study into an active, motivating, and competitive experience? Well-being and Community: How can this same platform create a safer school environment, providing anonymous and effective communication channels for both continuous improvement and the immediate activation of well-being protocols?