Basic ICT required.Read more
Basic computer proficiency courses are designed for individuals who have limited experience with technology. Participants will learn fundamental skills such as navigating the web, and using basic programs.
Targeted to Intermediate English (B1+) speakers.Read more
This is the standard requirement for most courses. Participants at this level can participate actively in discussions and manage everyday and professional situations. If they are unsure about their English level, they can test it here or explore our courses facilitated in Basic English.
School Principals.Read more
The listed audiences are those for whom the course is especially recommended, but courses are not exclusive to them and are open to everyone. In fact, most of our workshops are built around the collective sharing of participants’ experiences and having a variety of profiles enriches the learning process and is highly encouraged!
Introductive Course.Read more
This course is designed as an entry point to the topic. There are no entry tests, and it is open to everyone, as the exchange of diverse perspectives enriches the learning experience. If you prefer a more advanced course on the topic, we encourage you to explore our catalogue further.
Description
Integrating artificial intelligence into a school is not just about choosing tools or following trends.
It requires a clear strategic vision, well-defined policies that give teachers and students confidence, and a deep understanding of how AI reshapes teaching, learning, and school governance.
This course is designed for school leaders, digital coordinators, and educators involved in decision-making around technology.
Over five days, we will work through a practical and realistic approach to developing and implementing AI policies tailored to each school’s context, always grounded in ethical principles and aligned with current European frameworks.
Participants will explore how to build a solid digital strategy, how to guide teachers and learners in developing AI literacy, and how to establish processes that ensure a safe, responsible, and meaningful use of AI.
We will also address risks, opportunities, and the implications of the EU AI Act, GDPR, and the DigCompOrg and DigCompEdu frameworks.
By the end of the course, each participant will leave with a first draft of their school’s AI policy, a clear implementation roadmap, and the confidence to lead this transformation with purpose, clarity, and a human-centred perspective.
What is included
Learning outcomes
The course will help participants to:
- Understand the essential components of an effective school AI policy and how it connects to the wider digital strategy of the institution;
- Interpret and apply key European frameworks (DigCompOrg, DigCompEdu, EU AI Act, GDPR) to guide decision-making around AI in education;
- Develop AI literacy pathways for teachers and students, identifying the knowledge, skills, and attitudes needed for responsible, critical, and meaningful use of AI;
- Analyse and evaluate digital and AI-based tools using criteria related to privacy, ethics, data protection, and educational value;
- Identify risks, opportunities and ethical considerations associated with the use of AI in teaching, learning, and school management;
- Design the foundations of a school-wide AI governance model, including roles, responsibilities, procedures, and communication strategies;
- Draft an initial AI policy for their school, adapted to its context, values, and level of digital maturity;
- Plan a realistic roadmap for implementation, including priorities, training needs, evaluation indicators, and follow-up actions;
- Engage staff and stakeholders in the process, building a shared understanding and fostering a culture of safe, transparent, and human-centred AI adoption.
Tentative schedule
Day 1 – Foundation: Digital strategy and the role of AI school
- Course introduction and warm-up activity;
- Participants’ school presentations;
- Why AI policies matter: vision, purpose, and strategic alignment;
- Overview of DigCompOrg & DigCompEdu.
- European AI landscape: EU AI Act essentials.
Day 2 – AI literacy for teachers and students
- Warm-up activity;
- What AI literacy means in education;
- AI Lit Framework & UNESCO competencies;
- Designing AI literacy pathways;
- Mapping your school’s digital and AI culture.
Day 3 – Building school AI policies: ethics, governance, and risk
- Warm-up activity;
- Key components of a school AI policy;
- Ethical principles and responsible use of AI;
- Roles, responsibilities, and governance models;
- Drafting policy sections adapted to each school.
Day 4 – Data protection, GDPR, and safe tool evaluation
- Warm-up activity;
- GDPR and AI implications in education;
- Safe use of digital tools: European guidelines;
- Evaluating AI tools (privacy, compliance, pedagogy);
- Indicators for monitoring and impact.
Day 5 – From policy to action: roadmap and implementation
- Warm-up activity;
- Building your AI implementation plan;
- Peer review and coaching;
- Resources and follow-up opportunities.
Day 6 – Course closure and cultural activities
- Course evaluation: round-up of acquired competencies, feedback, and discussion;
- Awarding of the course Certificate of Attendance;
- Excursion and other external cultural activities.
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