The DUAL.AI.TEACHer project equips educators across Europe with the skills, confidence, and certification to both teach with AI and teach about AI.
A pan-European initiative designed to modernize teacher education by equipping educators with the skills, confidence, and certification required to navigate an AI-driven landscape.
We are building a comprehensive ecosystem that provides hands-on training and a formal EU-aligned certification framework - ensuring no educator is left behind in the digital transition.
AI tools are rapidly reshaping education, but teachers feel unprepared. There is no standardized, EU-level framework to close this gap.
While AI tools like intelligent tutoring systems and generative AI are revolutionizing classrooms, teachers report feeling unprepared to integrate AI into their pedagogy or to navigate its complex ethical dimensions.
There is currently no standardized, EU-level framework for training teachers on how to use AI tools responsibly, leaving a critical skills gap across European education systems.
Teachers need guidance on navigating algorithmic bias, data privacy, digital citizenship, and the ethical implications of deploying AI systems in educational environments with young learners.
The project focuses on a dual-perspective approach, preparing educators for two distinct but deeply connected goals.
AI-Enhanced Pedagogy: Training teachers to actively use AI tools to design lessons, personalize student learning, automate administrative tasks, and provide real-time feedback - making every classroom smarter and more responsive.
AI Literacy: Equipping teachers to educate their students on how AI works, its ethical implications, digital citizenship, and algorithmic thinking - building a generation of informed, responsible digital citizens.
Over a 3-year timeline, the project will build an entire ecosystem of resources for educators across Europe.
A formal system where teachers earn stackable micro-credentials and a 5-year EU-recognized certification.
A multilingual digital hub offering interactive training modules and curated open-access AI lesson plans.
Five hubs across Europe funding mobility for educators to travel, workshop, and share best practices.
Trained teachers test AI-enhanced lessons in schools to generate evidence-based insights.
Through four interconnected phases over a 36-month timeline.
Co-designing an AI-Powered Teaching Playbook and Certification Framework to define pedagogical standards and micro-credentials aligned with EU frameworks.
Developing a multilingual AI Learning Platform (MOOC) featuring over 15 training modules and 50+ downloadable AI-enhanced lesson plans.
Launching 5 transnational Teacher Academies to provide blended learning and cross-border mobility opportunities, directly training over 100 educators.
Conducting real-world classroom pilots where trained teachers test AI-enhanced lessons in 50+ schools, reaching over 1,000 students to generate evidence-based policy recommendations.
A cross-sector alliance spanning universities, public institutions, SMEs, VET, and certification.
SME
ACCELERAS KG
Austria
University
College of Business and Health Sciences
Poland
Public Authority
Consellería de Educación, Ciencia, Universidades e Formación Profesional
Spain
University
Daugavpils University
Latvia
Certification Body
ICEP Institute of European Certification of Personnel s.r.o.
Slovakia
SME
INSTITUT INPRO AS
Czechia
Vocational Provider
SIA Macibu centrs "Austrumvidzeme"
Latvia
University
University of Education Weingarten
Germany
University
University of Maribor
Slovenia
University
University of Vigo
Spain
University
University of Žilina
Slovakia
The project serves a broad spectrum of stakeholders across the European education landscape.
Future educators gaining AI competencies during their initial training to enter the workforce fully prepared.
Practicing educators upskilling to integrate AI effectively.
Institutions modernizing curricula with specialized AI training modules.
Institutions directly benefiting from newly implemented, AI-enhanced teaching practices.
Decision-makers shaping and standardizing evidence-based AI education policy.