Digital Transformation and AI

Artificial Intelligence for Education

Understand AI. Use it wisely. Transform your teaching.

Digital TransformationErasmus+ KA1 Eligible13 Destinations

About This Course

Artificial intelligence is no longer a future technology. It is already inside the tools that teachers and students use every day, from writing assistants and content generators to adaptive learning platforms and automated feedback systems. Yet most education professionals have never had the opportunity to explore AI in a structured, critical and pedagogically grounded way.

This course gives education professionals exactly that opportunity. Over one week, participants develop a clear, confident and critical understanding of how AI works, how it is already shaping education, and how to use it effectively, ethically and responsibly in their professional context. This is not a course about technology for its own sake. It is a course about using AI as a tool to save time, personalise learning, reduce workload and improve outcomes for students.

The course is fully aligned with the newest EU digital competence frameworks including DigComp 3.0, published November 2025, and the updated DigCompEdu framework, and connects directly to the Erasmus+ 2026 horizontal priority of Digital Transformation and the Digital Education Action Plan 2021 to 2027.

Who Should Attend

  • Teachers and educators at all levels and subject areas
  • School leaders and deputy heads
  • ICT coordinators and digital champions
  • VET trainers and adult education professionals
  • School counsellors and support staff with teaching responsibilities
  • No prior technical knowledge of AI is required

Learning Outcomes

By the end of this course participants will be able to:

  • Explain how AI works in accessible, non-technical terms and communicate this confidently to colleagues, students and parents.

    You will be able to have a genuine, informed conversation about AI with a parent who is worried about their child using ChatGPT, a colleague who thinks AI will replace teachers, or a school leader deciding whether to adopt an AI tool. You will understand the difference between narrow AI and general AI, know what large language models actually do and be able to explain it without jargon or fear.

  • Evaluate a range of AI tools relevant to education and make informed, critical decisions about which tools to use and when.

    You will have tested at least eight AI tools across different functions: lesson planning, content generation, differentiation, formative assessment and feedback. For each one you will have a clear picture of what it does well, what it does badly, what it costs, what data it collects and whether it is appropriate for use with your students.

  • Design learning activities and lesson plans that integrate AI in pedagogically sound and ethically responsible ways.

    You will design a complete AI-enhanced learning activity for your own subject area and age group. The design process is structured to ensure you start with the learning goal, not the tool, which is the single most important shift in how education professionals think about technology integration.

  • Apply strategies for managing AI use among students, including approaches to academic integrity and responsible digital citizenship.

    You will develop a practical policy for AI use in your classroom that is neither a blanket ban nor an uncritical open door. It will define what responsible AI use looks like for your students and how you will handle academic integrity when AI-generated content is involved.

  • Navigate the ethical, privacy and data protection dimensions of AI in educational settings.

    You will understand what the EU AI Act means for schools and educators, how GDPR applies when using AI tools with student data, and what your school's responsibilities are when deploying AI systems.

  • Connect their use of AI to the EU DigComp 3.0 framework and their own professional digital competence development plan.

    You will complete a DigComp 3.0 self-assessment at the start and end of the course, mapping exactly which digital competences you have developed and at which proficiency level. This gives you a precise, EU-validated record of your professional development for your Erasmus+ participant report.

A 7-Day Professional Development Experience

The Sude Nexus programme combines five days of intensive professional training with a structured arrival day and a cultural excursion day. The outline below gives a general sense of the week. We are always open to tailoring the programme to your needs.

Day 1
Sunday - Arrival and Welcome

Participants arrive at their chosen destination and are welcomed by the Sude Nexus local team. Check-in to accommodation, welcome pack distribution and an informal welcome dinner. A brief orientation walk introduces the city.

Day 2
Monday - Foundations of AI in Education
MorningHow AI works and what it means for education. Accessible introduction to AI concepts, current applications in classrooms, common myths and the real opportunities and risks for educators.
AfternoonAI in your classroom today. Guided audit of the AI already in participants daily tools. Group discussion on readiness, concerns and learning goals for the week.
Day 3
Tuesday - AI Tools for Teaching and Learning
MorningHands-on AI tool exploration. Practical workshop exploring AI tools for lesson planning, content generation, differentiation and formative assessment across different subject areas.
AfternoonEvaluating tools critically. Using a pedagogical evaluation framework to assess AI tools. Participants build a preliminary personal AI toolkit relevant to their context.
Day 4
Wednesday - AI, Ethics and Responsible Use
MorningThe EU AI Act and data privacy in schools. What the EU AI Act means for educators. Data protection, GDPR, student privacy and school responsibilities when using AI tools.
AfternoonAcademic integrity and algorithmic bias. Managing AI use among students. Approaches to academic integrity, recognising algorithmic bias and developing a responsible AI use policy.
Day 5
Thursday - AI for Inclusion and Personalised Learning
MorningAI as a tool for differentiation. How AI supports diverse learners, reduces barriers and personalises learning pathways. Applications aligned with DigComp 3.0 and DigCompEdu.
AfternoonDesigning inclusive AI-enhanced activities. Participants design an AI-enhanced learning activity for their own context with inclusion at the centre. Cross-group peer feedback and refinement.
Day 6
Friday - Action Planning and Sharing
MorningParticipants develop their personal and institutional action plan. Structured peer review and feedback.
AfternoonPresentations, certificates and farewell. Participant presentations, certificate ceremony, evaluation and farewell dinner.
Day 7
Saturday - Cultural Excursion and Departure

Guided cultural excursion to a key landmark of the destination. Participants travelling home are free to depart after breakfast.

This outline is a starting point, not a fixed schedule. Contact us to discuss how we can tailor this programme for your institution.

EU Policy Alignment

Erasmus+ 2026 Horizontal Priorities

EU Competence Frameworks

EU Policy Initiatives

Digital Education Action Plan 2021 to 2027EU AI ActUnion of Skills 2025European Education Area 2021 to 2030
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Available Locations and Dates

This course is available across all 13 Sude Nexus destinations. Check the dates page for current availability.

Check Dates and Availability

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