Assisting Teaching and Learning with AI-based Solutions
ATLAS is an Erasmus+ project (2025–2028) that explores how Generative AI can be effectively and responsibly integrated into Higher Education. The ATLAS Erasmus+ project brings together 10 partners and 14 associated partners across 12 countries to develop practical frameworks, training resources, and guidelines for universities. This project is particularly relevant for university teachers, tutors, and institutional leaders looking for evidence-based, pedagogically sound approaches to adopting AI in education.
Why this project matters
Generative AI is rapidly becoming part of everyday academic life. However, universities face real questions about how to use these tools effectively without compromising educational quality, ethical standards, or social values. Furthermore, many institutions lack the structured frameworks and training needed to support responsible AI adoption at scale. ATLAS addresses these gaps directly.
What the project aims to do (objectives)
The ATLAS Erasmus+ project supports innovation in teaching and learning by helping Higher Education institutions integrate Generative AI in an effective, ethical, and responsible way. In addition, it focuses on strengthening digital competences, improving teaching and tutoring practices, and building AI readiness across universities — without losing sight of pedagogical and ethical foundations.
What we are building (results)
- 60 GenAI Use Case Cards addressing key educational challenges in teaching and tutoring
- A modular Training Package based on a micro-credential framework to extend GenAI literacy beyond partner institutions
- Evidence-based Guidelines for the effective, pedagogically sound, and responsible use of GenAI in Higher Education.
Furthermore, all results will support universities across Europe in making informed, responsible decisions about AI adoption.
Project partners
The project is coordinated by Tor Vergata University of Rome (Italy) and includes Euphoria Net (Italy), Universidad Carlos III de Madrid (Spain), University of Antwerp (Belgium), University of Konstanz (Germany), NOVA University of Lisbon (Portugal), Maastricht University (Netherlands), University of South-Eastern Norway (Norway), Tallinn University (Estonia), and YERUN – Young European Research University Network (Belgium).
Funded by the European Union. Views and opinions expressed are, however, those of the author(s) only and do not necessarily reflect those of the European Union or the European Education and Culture Executive Agency (EACEA). Neither the European Union nor EACEA can be held responsible for them.
Project n° 2025-1-IT02-KA220-HED-000362522