Digital Education: AI-powered Personalised Learning Pathways for Basic Skills
Funding for transnational projects that develop, implement, and test AI-powered personalised learning pathways (PLPs) to improve basic skills acquisition in school education and initial vocational education and training (VET) for learners at EQF levels 1 to 4. Targets consortia aiming to enhance adaptive, data-driven teaching and assessment methods while ensuring ethical and transparent AI use in education.
Details
Agency
EU Commission
Status
Upcoming
Language
English
Funding Type
Grant
Deadline
2026-04-08
Open Date
2026-01-06
Overview
Funding for transnational projects that develop, implement, and test AI-powered personalised learning pathways (PLPs) to improve basic skills acquisition in school education and initial vocational education and training (VET) for learners at EQF levels 1 to 4. Targets consortia aiming to enhance adaptive, data-driven teaching and assessment methods while ensuring ethical and transparent AI use in education.Who Can Apply
Consortia of organisations from eligible countries, including public and private entities such as schools, VET providers, research institutions, NGOs, and technology developers. Projects must involve at least three organisations from three different eligible countries.Funding Details
- Total budget: Not specified.
- Grant amount: Not specified (lump-sum funding model).
- Funding rate: Up to 100% of eligible costs.
- Co-funding: Not required.
What Is Funded
- Deployment of AI-powered PLPs for basic skills development, tailored to individual learners' needs.
- Improvement of basic skills acquisition (e.g., literacy, numeracy, digital skills) through interdisciplinary approaches.
- Development of measurable learning progress tools, such as dashboards and learning analytics.
- Adaptive, data-driven teaching and assessment methods (e.g., micro-learning, competency-based progress).
- Inclusive pedagogical approaches supporting learners at different attainment levels.
- Ethical, transparent, and explainable AI systems compliant with European data and privacy regulations.
Technology / Maturity Requirements
- TRL: Projects must demonstrate a technology readiness level (TRL) between 7 and 9.
Key Dates
- Call publication: 2025-12-22
- Application deadline: 2026-04-07T22:00:00Z (17:00 Brussels time)
- Evaluation period: April – July 2026
- Applicant notification: October 2026
- Grant agreement signature: By January 2027
Application Process (High-Level)
- Single-stage submission via the [Funding & Tenders Portal](https://ec.europa.eu/info/funding-tenders/opportunities/portal).
- Part B (Technical Description) limited to 40 pages, including a list of relevant previous projects.
- Evaluation based on criteria outlined in the call document.
Post-Award Obligations
- Reporting and dissemination requirements as specified in the Lump Sum Model Grant Agreement (MGA).
- Systematic feedback collection from learners and educators during implementation.
Geographic Scope & Language
- Eligible countries: Austria, Belgium, Bulgaria, Croatia, Cyprus, Czech Republic, Denmark, Estonia, Finland, France, Germany, Greece, Hungary, Ireland, Italy, Latvia, Lithuania, Luxembourg, Malta, Netherlands, Poland, Portugal, Romania, Slovakia, Slovenia, Spain, Sweden, Norway, Iceland, United Kingdom, Switzerland.
- Application language: English.
Notes
- Projects must address at least one of the specified priorities but may vary in depth of focus.
- Proposals must demonstrate transnational cooperation and a strong European dimension.
- Ethical AI use and compliance with GDPR and other EU regulations are mandatory.