The Future of Education

Current approaches to AI in education tend to be fragmented, addressing individual tools, isolated competencies or single institutional contexts. This paper presents the outputs of the European Digital Education Hub's (EDEH) AI Squad: a collaborative initiative that united 45 experts from across Europe to develop a cohesive, human-centred framework organised around four interconnected drivers.

The first driver, 'Teacher Training', moves beyond raising awareness to provide actionable guidelines and course templates that position educators as critical and reflective users of AI rather than passive adopters. The second driver, 'Teachers as Co-Designers', arguably makes the most distinctive contribution: supported by a competency map and a partnership checklist, it empowers educators to shape AI tools from the outset, ensuring they align with classroom realities and ethical standards well before deployment. Unlike top-down EdTech adoption models, this approach reverses the typical power dynamic between developers and practitioners.

The third driver, Public-Private Partnerships, introduces 'Power, Priorities & Pitfalls', an immersive policy design game in which diverse stakeholders, including policymakers, industry representatives and educators, simulate governance negotiations in order to navigate the tensions between commercial interests, equity and sustainability. Finally, the Data Literacy component translates abstract concepts into ready-to-use classroom activities, such as an AI Eco-Audit examining AI's water consumption footprint and a data ethics escape room, which make the environmental and ethical dimensions of AI tangible for students.

The four drivers were designed to function as a system, with bias mitigation, pedagogical relevance, democratic governance and environmental responsibility addressed jointly rather than in isolation. The result is a scalable, practitioner-ready roadmap that has been validated on a European scale.