Funded by

Erasmus+, KA2

Information
  • Length: 2026-2029
  • Lead Partner: Linköping municipality, Utbildningsförvaltningen (SE)
  • Members Involved: SERN, Parma Municipality (IT)
  • Other Partners: Trondheim Municipality (NO); Fundacio Universitaria Balmes (ES); Institut Escola Josep Maria Xandri (ES); Berzeliusskolan (SE); Casco Learning Societa' Cooperativa Sociale A R.L. ETS (IT)
  • Priority Area: #QualityEducation #InclusiveCommunities
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Contacts
Nicola Catellani
Project Officer - SERN

AIINCLUSION

AI for Inclusive Classrooms: Strengthening Teacher Competences for Cognitive and Linguistic Inclusion in Compulsory Education

About the project

The AIInclusion project takes as its starting point the fact that AI is already used in classrooms, but without guidance connecting that use to inclusive pedagogy. The project responds by producing the first European curriculum linking AI use to inclusion in compulsory education. It does not treat AI as a solution to inclusion, but as a tool whose value depends on the teacher’s capacity to understand its potential and to decide, in each classroom situation, whether and how it actually serves the learner. The project places the horizontal priority of inclusion and diversity at the centre of its design.

Objectives

The general objective of the project is to foster inclusion in primary and lower-secondary education by developing teachers’ competence to use AI ethically and critically to support diverse learners.

The specific objectives of the project are:

1) To adapt and contextualise the UNESCO AI Competency Framework for Teachers to the European compulsory education context, with a focus on inclusion.

2) To develop a modular curriculum that translates the framework into competence pathways, learning outcomes and classroom-ready scenarios for teachers at these levels.

3) To deliver, pilot and evaluate a training package that enables teachers to apply the curriculum in real classroom settings across four countries.

Activities

The main programme activities include:

  • Transnational coordination meetings.
  • Classroom piloting in nine schools, tracking teachers’ competence development.
  • Workshops with teachers and experts.
  • Delivery of teacher training activities.
  • National multiplier events in the four partner countries.

Output

The expected outputs of this project are:

  1. An EU-contextualised competence framework linking AI and inclusive education.
  2. A curriculum blueprint with competence pathways, progression levels, learning outcomes and model classroom scenarios.
  3. The AI and Inclusion Compass, a visual decision-making tool for teachers.
  4. A teacher training package validated through classroom piloting.
  5. A micro-credential framework recognising the competences acquired.
  6. At least 20 validated inclusive classroom use cases.
  7. Evidence of teacher competence development.
  8. A practical handbook drawing on piloting in four countries.

Impact

The Allnclusion project will have a meaningful impact on students, teachers and schools as institutions. It will give teachers a coherent professional frame of reference that they currently lack, enabling them to use AI more effectively in support of inclusion in the classroom. The final beneficiaries are students in compulsory education, particularly those aged 9-14 who face linguistic and cognitive barriers to learning. They will gain from improved teaching practices and more inclusive classroom environments.

Results

The project is expected to:

  • Contribute to narrowing the gap between policy guidelines and classroom realities.
  • Benefit newly arrived pupils facing language barriers and students with learning needs or disabilities.
  • Generate a shift in how schools as institutions respond to diversity.
  • Provide ministries, national agencies and regional authorities with concrete references for curriculum development and school improvement strategies.
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