The project enhances the data literacy of school communities (school leaders, teachers and students), enabling them to critically understand how data is created and used by GenAI and humans through the lens of democratic values. It fosters data literacy by collaboratively developing a training and experimentation pathway with schools across Europe.
WHAT IS DATA LITERACY IN THE AGE OF GenAI?
Data literacy in the context of the AI-DL project ensures the ability to:
- Understand how data is generated, examined, explored, interpreted, visualised, employed, and utilised by Generative AI
- Critically reflect on and evaluate data-driven outputs to utilise them creatively, effectively, and thoughtfully in educational activities
GenAI is utilised as a trigger to develop these knowledge, skills and attitudes in meaningful classroom contexts.
OUR ROOTS – HOW AI-DL BUILDS ON AI4T
AI-DL builds upon the previous Erasmus+ project AI4T, which focused on developing teachers’ knowledge of AI in education. AI4T emphasised the need for more practical, cross-curricular approaches that integrate AI into real-world classrooms. The new AI-DL project deepens this by enhancing three interconnected key areas: data literacy, GenAI, and digital citizenship.
OUR METHODOLOGY AND APPROACH
The AI-DL project uses a co-creation and experimentation-based approach to enhance data literacy in secondary education. It builds on existing EU, national and international frameworks on data literacy and GenAI, and develops a training pathway for teachers. Through real-world implementation in 40 schools across 7 countries, the project supports school communities in critically using Generative AI as a trigger for developing ethical, responsible, and democratic data practices. Communities of Practice (CoPs) in each school co-design, test, and reflect on classroom scenarios, with continuous feedback shaping training, resources, and policy recommendations.
WHO IS AI-DL FOR?
TEACHERS
AI-DL will provide you with experience in data literacy by a free training pathway with real-world examples, guidance on developing data literacy, using Generative AI as a tool to do so, ready-to-use classroom materials and a supportive network of fellow teachers across Europe.
Use AI to teach students how to use data and think critically in a data-driven world.
SCHOOLS
AI-DL will support schools in developing data literacy as a cross-curricular competence by using Generative AI as a trigger for critical thinking, ethical reflection, and democratic engagement. It will offer a training pathway with real-world classroom examples, guidance on developing data literacy, and ready-to-use teaching materials. Participating schools become part of the AI-DL Communities of Practice, co-designing and testing innovative approaches to empower students to understand, question, and responsibly use data in an AI-driven world.
Use AI not just as a tool, but as an opportunity to build a whole-school vision for data literacy, empowering students to think critically and act responsibly in a digital society.
POLICY MAKERS AND MINISTRIES
AI-DL will provide policymakers and ministries with evidence-based insights on how schools are developing data literacy through the utilisation of Generative AI. The project will identify classroom practices, teacher training needs, and challenges associated with integrating data literacy across various subjects. Through experimentation in 40 schools across 7 countries, it will produce policy recommendations, a baseline study, and a scalable framework aligned with European priorities. AI-DL will support the development of strategies that promote ethical, inclusive, and democratic digital education in the age of AI.
See AI not just as innovation, but as a catalyst to strengthen data literacy and democratic competences across education systems, ensuring every learner is prepared for the challenges of the AI era.
PROJECT PHASES
DIAGNOSIS & PREPARATION
Conducting baseline studies to understand current practices and needs.
CONTENT DESIGN
Developing practical training materials in collaboration with ministries.
EXPERIMENTATION
Implementing training in schools to test its effectiveness.
EVALUATION
Assesing the impact of training for continous improvement.
DISSEMINATION & UPSCALING
Sharing resources and recommendations to expand the project's reach.
