Education for a Sustainable Future: An Ecoai Framework for Target 4.7

In the last two years, the massive diffusion of GenAI and LLM had worldwide shockwaves, opening new horizons in various fields, including ecoliteracy and ecopedagogy. In their new spring, AI and LLMs are at the service of teaching, therefore Ecoliteracy is fuelled by a new strength in helping to achieve the goals of Education for Sustainable Development (ESD) and Global Citizenship Education (GCED), pivotal in realising the United Nations' Sustainable Development Goals (SDGs) by fostering informed, responsible global citizens equipped to tackle contemporary challenges.However, despite the latest use of these tools for teaching and learning, there’s still a gap between ecoliteracy and AI models. My contribution aims to show the first attempt of an ecoliteracy “and” AI, to use all the potential of the technology, and an ecoliteracy “of” AI, aware of the impact from its use to the environment. The current situation of the literature and theoretical contributions clearly states the lack of a specific framework focused on these two axes. An “EcoAI” framework that should be integrated into school programs to best exploit the chance to connect both ESD and GCED to work synergistically to create a holistic educational approach that addresses environmental, social, and economic dimensions of sustainability. Research indicates that data science can significantly enhance HEIs' efforts in sustainable development by providing insights into educational practices and community impacts (Filho et al., 2023). Integrating digital technologies into ESD can enhance student engagement and understanding of sustainability issues, bridging gaps between technology and sustainability education (Amballoor, 2023). Supported by dissemination data and specific theoretical studies, the EcoAI model represents the junction point where global citizenship education extends its event horizon on environmental sustainability using new AI techniques. Lastly, UNESCO monitoring progresses on Target 4.7 remains challenging, a methodology has not yet been adopted for the global indicator