Neutral-Atom Platform Technologies
This action aims to establish European leadership in neutral-atom quantum simulation and digital quantum computing by delivering: • Fully programmable industry-ready quan…
Horizon Europe · European Union
Opens 13 May 2027
The EU's Horizon Europe programme expects to make 3 awards of €3 million – €4 million each, from a total budget of €12 million. Applications close on 23 Sep 2027 (EU calls usually close at 17:00 Brussels time). Organisations in EU member states and Horizon Europe associated countries such as Türkiye can usually take part; the topic conditions control.
Projects should contribute to all of the following expected outcomes:
• Provide policymakers and educators and parents with a solid understanding of the potential benefits, opportunities and challenges stemming from the use of artificial intelligence tools in learning environments in pre-primary and primary education, including with regard to their ethical dimension.
• Generate rigorous, policy-relevant evidence on the impact of use of artificial intelligence tools in learning environments on educational performance and youth well-being.
• Develop actionable advice to educators about how they can make an effective use of artificial intelligence tools in their work, including for the assessment of learning outcomes.
The use of artificial intelligence (AI) in learning environments in pre-primary and primary education is rapidly growing. However, there is limited evidence on how AI can challenge and improve learning outcomes, enhance the teaching techniques and support the teaching profession and how automating administrative tasks helps teachers focus on pedagogy and teaching challenges. Most existing research is from extra-EU contexts, which significantly limits the transferability of findings to EU education and training systems and is often conducted on a limited number of participants and covering short-time spans, hindering the possibility of generalising its findings. Moreover, research on the implications of AI tools for equity and inclusion in education is lacking. There is also a need to better investigate the challenges that AI poses to teaching and learning as well as pupils’ well-being. AI is developed to increase human efficiency yet also comes with often unexpected risks and challenges, especially when being applied to child audiences.
The research (including through SSH disciplines) could explore how AI can enhance curricula, improve teaching methods, and personalise learning through adaptive technologies. It should also consider the developmental appropriateness of AI tools for young learners, focusing on cognitive, emotional, and social growth. Research on AI’s impact on early childhood education and its role in supporting foundational skills would be valuable. Additionally, the research should emphasise the aspect of teacher support, including how AI can assist with lesson planning, assessment, and feedback. It should also explore training programs to help educators use AI effectively. Finally, inclusivity and accessibility are key angles to consider, ensuring AI tools are suitable for all students, including those with disabilities or from diverse backgrounds, and promoting multilingual and multicultural education.
Longitudinal studies are also needed, as current research is fragmented and looking at the short term. Proposals should focus on the need to understand long-term cognitive, social, and emotional impacts, which requires sustained, multi-year investigations. Furthermore, the role of media and digital tools requires attention. Proposals should consider the devices and platforms through which children encounter AI (for example robots, tablets, smartphones etc) and how these shape interactions and learning outcomes.
Relevant research questions to address include:
• How can AI-powered tools personalise learning experiences safely and effectively and support teachers in addressing diverse student needs?
• What are the potential benefits and challenges of integrating AI into initial teacher education and continuous professional development programmes?
• How can AI assist teachers in automating administrative tasks, allowing them to focus more on pedagogy and student engagement?
• What ethical considerations and potential risks, including…
Consortium of at least 3 independent legal entities from 3 different EU Member States or associated countries, at least one in a Member State (Horizon Europe standard rule).
Applicant categories are a starting point. The official call decides eligibility.
Education, general (including training, pedagogy, didactics)
Single-stage call. Next deadline 2027-09-23. The portal states the exact cut-off time (EU calls usually close at 17:00 Brussels time).
| Fact | Value | How we know | Taken from the source |
|---|---|---|---|
| Deadline | 23 September 2027 “Single-stage call. Next deadline 2027-09-23. The portal states the exact cut-off time (EU calls usually close at 17:00 Brussels time).” | official data field | 15 Nov 2026 |
| Amount per applicant | Unknown — not stated in the source we hold | unknown | — |
| Total budget | €12 million | official data field | 15 Nov 2026 |
| Funding rate | 100% of eligible costs | programme standard rule | 15 Nov 2026 |
| Who can apply | Consortium of at least 3 independent legal entities from 3 different EU Member States or associated countries, at least one in a Member State (Horizon Europe standard rule). | programme standard rule | 15 Nov 2026 |
| Where to apply | Read the topic conditions on the EU Funding & Tenders Portal for eligible countries, consortium requirements, budget and the application route. | read from the official text | 15 Nov 2026 |
Facts on this page come from the funder’s official data, taken on 14 Nov 2026. The funder's own documents, including later amendments, always take precedence.
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