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Balancing Foundational and AI Competences for Inclusive, Well-being-Oriented Education

Objective

Across Europe, adolescents are growing up in a digital environment shaped by generative AI, smartphones, and social media—technologies that transform how they learn, communicate, and prepare for future careers. While these tools enable creativity, personalisation, and collaboration, evidence on their impact on learning and well-being is fragmented and often lags behind practice. TRIAD addresses this gap by co-creating and testing an integrated framework that balances foundational competences (literacy, numeracy, science), transversal competences (critical thinking, collaboration, metacognition), and AI/digital literacies, while embedding safeguards for cognitive, emotional, and social well-being.
The project tackles four systemic challenges: (1) AI-driven skill degradation and shallow learning, risking over-reliance and reduced originality; (2) fragmented competence frameworks lacking operationalised pathways; (3) uneven readiness and equity gaps that amplify socio-economic and digital divides; and (4) ambivalent evidence on adolescents’ well-being in digitally enriched education. By focusing on learners aged 12–18 in secondary schools and VET—where competences must be consolidated and inequality risks peak—TRIAD intervenes at a decisive stage for education and labour market readiness.
Through large-scale classroom pilots across Europe, combined with neuroscientific methods (EEG/fNIRS), TRIAD will identify when AI genuinely enhances learning rather than replacing it. Classroom scenarios will be validated across diverse contexts and enriched by input from SMEs and labour market actors. The outputs—classroom-ready designs, developmental pathways for students and teachers, and actionable policy recommendations—will enable schools to adopt AI responsibly, reduce inequalities, and strengthen Europe’s human capital and resilience in line with the European Education Area 2030 and the Digital Education Action Plan.

Fields of science (EuroSciVoc)

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Keywords

Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)

Programme(s)

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Topic(s)

Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.

Funding Scheme

Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.

HORIZON-RIA - HORIZON Research and Innovation Actions

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Call for proposal

Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.

(opens in new window) HORIZON-CL2-2025-01

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Coordinator

RHEINLAND-PFALZISCHE TECHNISCHE UNIVERSITAT
Net EU contribution

Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.

€ 474 124,39
Address
GOTTLIEB DAIMLER STRASSE
67663 Kaiserslautern
Germany

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Region
Rheinland-Pfalz Rheinhessen-Pfalz Kaiserslautern, Kreisfreie Stadt
Activity type
Higher or Secondary Education Establishments
Links
Total cost

The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.

No data

Participants (10)

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