We believe Generative AI can be the most appropriate lever to develop our students’ data literacy in relation to how they interact with emerging technologies. We plan to take a novel approach that involves a deeper and more critical understanding, responsibility, respect, and alignment with other EU values by teachers and students regarding the symbiotic relationship between digital citizenship and data literacy. The project builds on a previous KA3 project, AI4T, where the focus was on equipping teachers with the knowledge to understand how AI works, so they could use a selection of AI tools in their subject teaching.

There is a need for more practical examples of how schools are capturing and developing the data literacy practices of school leaders, teachers and students when using AI technologies. Therefore, the project will focus on developing data literacy using various Generative Artificial Technologies, which are readily accessible to schools, teachers, students, and head teachers, and strengthening their digital citizenship when using emerging technologies holistically and connectedly.

• Identify existing data literacy strategies and explain their benefits for secondary education
• Map data literacy strategies in national curricula: Existing or tested practices
• Identify best practices: ways to support teachers in developing data literacy
• Address policy recommendations, including success factors and challenges.

1. Secondary schools

Participating schools develop communities of practice (COP), co-design and implement a transformation strategy, implement a training pathway and use resources, and schools’ visibility at the local, regional and national levels.

2. Teachers

Teachers of various disciplines participate in training and other activities to improve their practical knowledge using emerging technologies, fostering their data literacy and participating in discussions about their experience, so they can use it in an efficient and relevant way in the classroom. They will be part European online working networks with other teachers, exchanging experiences and sharing the best practices. Some teacher will become ambassadors on data literacy and the use of GenAI in education and share their experience at the European level and transforming teaching practices within their schools.

3. Students

The project will implement the activities in secondary schools with students above 13 years old to develop data literacy competencies by discovering different GenAI resources guided by the teacher, participate actively in discussions about these tools and to create autonomous and informed postures on them. Some students will become Data literacy and AI ambassadors among their peers, discussing how GenAI and data is to be used in favour of education and exchange practices at the European level.

Project Partners

• France Education International (FEI), France (coordinator)
• Technology in education – Oide, Ireland
• Service de coordination de la Recherche et de l’Innovation pédagogique et technologique (SCRIPT), Luxembourg
• Ministrstvo za vzgojo in izobraževanje (MVI), Slovenija
• National Institute of Educational Technologies and Teacher Training (INTEF), Spain
• Nacionaline Švietimo Agentura (NSA), Lithania
• H2 Learning, Ireland
• Univerza v Mariboru (UM), Slovenija
• Istituto Nazionale di Documentazione, per l’Innovazione e la Ricerca educativa (INDIRE), Italy
• Nantes Université (Nantes U), France
• Consiglio Nazionale delle Riserche (CNR-ITD), Italy

Associated partners

• Ministère de l’Education nationale, France
• Ministero dell’Istruzione e del Merito, Italy