Participation in Erasmus+ Call
Digital Education: AI-powered Personalised Learning Pathways for Basic Skills
Unitelematik International Leonhard Euler is currently participating in the European call for proposals ERASMUS-EDU-2026-POL-EXP-T03-DIGITAL-BS, promoted under the Erasmus+ Programme and dedicated to the development of innovative digital education solutions based on artificial intelligence.
This initiative focuses on the exploration and testing of AI-powered personalised learning pathways, aimed at improving the acquisition of basic skills through adaptive learning environments capable of responding to the individual needs of learners. The project framework encourages the development of innovative pedagogical approaches and the integration of digital technologies that can support more inclusive, flexible and effective educational systems.
Through its participation in this call, Unitelematik International Leonhard Euler aims to contribute to European academic cooperation in the field of digital education and educational innovation, supporting research initiatives, interdisciplinary collaboration and the development of new methodologies for personalised learning.
The initiative reflects the university’s commitment to strengthening its role within the European Higher Education and research ecosystem, promoting cooperation between universities, research institutions and educational organisations engaged in the transformation of education through responsible and ethical use of digital technologies.
By engaging in this European initiative, Unitelematik International Leonhard Euler further reinforces its mission of fostering innovation in higher education, international academic collaboration and research-driven educational development across Europe.
- Call Reference: ERASMUS-EDU-2026-POL-EXP-T03-DIGITAL-BS
- Programme: Erasmus+
- Field: Digital Education and Artificial Intelligence
- Type: European Policy Experimentation
Topic description
Scope:
European policy experimentations are transnational cooperation projects that involve developing, implementing and testing the relevance, effectiveness, potential impact and scalability of activities to address policy priorities in different countries. By combining strategic leadership, methodological soundness, and a strong European dimension, they enable mutual learning and support evidence-based policy at European level.
Themes and priorities (scope)
Projects under this topic will aim to foster the application of (ethical, transparent, and explainable) AI-based PLPs at school education and initial VET level, specifically addressing learners at EQF levels 1 to 4.
The projects should target one or more of the basic skills[1] focusing on the priorities below (projects should show awareness of all priorities, but the depth and focus can vary depending on the project’s scope):
- Support the deployment of AI-powered PLPs for basic skills development: leveraging PLPs that use AI, machine learning, or other innovative methods to tailor learning journey, content and pace to individual learners’ needs.
- Improve basic skills acquisition: improving learners’ skills in the basic skills set, as laid out in the Action Plan on Basic Skills, to enhance their learning process and increase their employability and participation in society, through an interdisciplinary approach.
- Measure the improvement of basic skills education: learning progress and basic skills development should be made measurable through student and teacher dashboards and learning analytics, complemented by systematic feedback collection from learners and educators.
- Enhance innovative pedagogies and approaches, by supporting adaptive, data-driven teaching, learning, and assessment methods (such as micro-learning and competency-based progress) enabling schools to foster effective, learner-centred, and inclusive environments that strengthen basic skills, to enhance the effectiveness education and training for basic skills provision.
- Foster a level-playing field among learners: proposing innovative pedagogical approaches to use AI-based PLPs in a collaborative environment that supports learners at different levels of attainment to progress together and inclusively towards shared learning goals.
- Promote an effective and ethical use of AI in education, ensuring the AI systems used are transparent, explainable, ethical and in accordance with European data and privacy regulations.
More information about this topic is available in the Call for proposals European policy experimentations (ERASMUS-EDU-2026-POL-EXP).
[1] As outlined here https://education.ec.europa.eu/education-levels/school-education/basic-skills and in the Action_Plan_on_Basic_Skills_COM_2025_88_1_EN_0.pdf
Topic updates
06 March 2026
The European Education and Culture Executive Agency (EACEA) has published a set of questions and answers (Q&As) in relation to the Policy Experimentations call (Call for proposals ERASMUS-EDU-2026-POL-EXP). The Q&As are available under the section “Topic Q&As” of the Call ERASMUS-EDU-2026-POL-EXP, in the EU Funding & Tenders Portal.
EACEA has also published a FAQ in the Funding & Tenders Portal in relation to the use of generative AI systems when preparing the proposal.
Applicants are also invited to visit the Call document and the EACEA website for guidance information on the conditions and requirements of the Call and its topics.
18 February 2026
The European Education and Culture Executive Agency (EACEA) has published support materials for applicants that intend to submit a proposal under this call.
These resources are available on EACEA website. Applicants are invited to check them carefully.
06 January 2026
The submission session is now available for: ERASMUS-EDU-2026-POL-EXP-T10-ADULT-EMPOWER, ERASMUS-EDU-2026-POL-EXP-T03-DIGITAL-BS, ERASMUS-EDU-2026-POL-EXP-T07-VET-BS, ERASMUS-EDU-2026-POL-EXP-T09-ADULT-PS, ERASMUS-EDU-2026-POL-EXP-T01-DIGITAL-CONTENT, ERASMUS-EDU-2026-POL-EXP-T04-MICRO-CRED, ERASMUS-EDU-2026-POL-EXP-T05-SCHOOL-STEM, ERASMUS-EDU-2026-POL-EXP-T06-SCHOOL-BS, ERASMUS-EDU-2026-POL-EXP-T08-VET-QUALIFICATIONS, ERASMUS-EDU-2026-POL-EXP-T02-DIGITAL-ETHICSAI