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INNOVATIVE APPROACHES WITH MACHINE LEARNING IN EARLY CHILDHOOD EDUCATION

Funder: European CommissionProject code: 2025-1-TR01-KA220-HED-000354533
Funded under: ERASMUS+ | Partnerships for cooperation and exchanges of practices | Cooperation partnerships in higher education Funder Contribution: 250,000 EUR

INNOVATIVE APPROACHES WITH MACHINE LEARNING IN EARLY CHILDHOOD EDUCATION

Description

<< Objectives >>SMARTSTART aims to equip pre-school teacher candidates with ML competencies, fostering inclusive, data-driven teaching. It develops an ML-integrated curriculum, promotes innovation through co-design, and ensures sustainability via a multilingual open-access platform. Pilot implementations and stakeholder engagement will drive long-term adoption of ML in early childhood education across Europe.<< Implementation >>SMARTSTART will develop an ML-integrated curriculum, conduct pilot implementations, and create a multilingual open-access platform. It will engage teacher candidates in co-designing ML-powered tools, provide training workshops, and facilitate stakeholder collaboration. Dissemination activities, including conferences and digital outreach, will ensure widespread adoption, while continuous feedback will refine project outcomes for long-term impact in early childhood education.<< Results >>SMARTSTART will deliver an ML-integrated curriculum, a multilingual open-access platform, and practical ML-powered teaching tools for pre-school educators. It will enhance teacher candidates’ digital competencies, promote inclusive, data-driven pedagogy, and foster innovation through co-design. Pilot implementations will validate effectiveness, while dissemination efforts will ensure long-term adoption, influencing early childhood education policies and digital transformation across Europe.

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