AI for Teachers: Designing Possibilities
Exploring AI through educational questions, creative design and shared inquiry
At a Glance
Dates and Location:
6 to 11 June 2027, Olbia, Sardinia, Italy. Early price until 11 April 2027.
Who it's for: teachers, teacher educators, school leaders and learning designers
Language: English
Group size: up to 20 participants
Facilitators: Özgen B. founder of Educ@demy, with Egoitz Etxeandia, Head of Europe at Playlab
In collaboration with: Playlab
Fee: from €700, or €1,445 with accommodation at the early registration price. Erasmus+ KA1 fundable.
Erasmus+ priorities: digital transformation; inclusion and diversity; participation in democratic life
About the Course
Through this course, we would like to offer a space for educators to explore how teachers and students can take an active role in shaping AI in education. We invite educators to bring their experiences, questions and educational values into a shared design process, exploring how creating with AI can support learning, creativity and participation.
Developed in partnership with Playlab, the course draws on a shared belief that educational technologies should be shaped by the communities who use them. Teachers and students bring different knowledge, experiences and perspectives to this work. We explore how classrooms can become places where they investigate possibilities together, question how tools work and make decisions about their purpose and use.
Throughout the week, participants begin with a question, challenge or possibility from their own educational context. Using Playlab, they develop an AI prototype without needing prior coding experience. Alongside building and testing their tools, they design opportunities for students to take part: identifying questions that matter to them, developing their own ideas, testing outputs and adapting tools in response to what they discover.
This process brings learning and pedagogical choices into focus. What might students learn through designing, questioning and revising an AI tool? How can we make room for different interests, perspectives and ways of expressing ideas? What do teachers and students need to understand to evaluate AI critically and decide when it is useful? Questions of authorship, bias, privacy and responsibility are explored through the practical decisions involved in making something together.
The course is led by Özgen, founder of Educ@demy, alongside Egoitz Etxeandia, Head of Europe at Playlab, a nonprofit born at MIT out of the team behind Scratch.
When more people participate in designing AI, it becomes material that teachers and students can shape around their own questions, ideas and ways of acting on the world. The course takes the form of a highly interactive lab: participants build, test each other's tools and explore how to open this creative process to their students.
By the end of the week, they share what they have made and the thinking behind it, discussing their choices and the possibilities they would like to explore further. Together, we approach this work as an invitation to imagine and create educational experiences that reflect the people and communities involved.
Who is This For
This course is for teachers, teacher educators, school leaders and learning designers who are curious about how AI might become part of a creative, thoughtful and participatory approach to education. It welcomes educators across subjects and educational settings, including those beginning to explore AI and those already using it who would like to develop their own tools and learning experiences.
It may be particularly relevant if you would like to:
Explore a question or challenge from your practice through hands-on design and experimentation.
Involve students in shaping technology, creating opportunities for them to question, build, test and make decisions.
Connect AI literacy with creativity, critical thinking and student agency.
Develop a more informed understanding of AI's possibilities, limitations and implications for teaching and learning.
Learn alongside colleagues, exchange perspectives and develop ideas that respond to your own educational context.
No coding experience is needed. You are welcome to bring an idea you would like to develop, a question you are still working through or simply a curiosity about what teachers and students might create together.
What We Do
Throughout the week, we move between making, dialogue and reflection. We explore AI by working with it: developing ideas, building tools, trying them with colleagues and revisiting our decisions in response to what we discover. Participants bring questions from their own practice and learn from the different experiences and perspectives within the group.
Alongside developing our own tools, we consider how to create similar opportunities for students. We explore what it means to invite learners into the design process, how to support their critical judgment and how making with AI might connect with different subjects and learning goals.
The programme is provisional and will be refined with the confirmed group.
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We begin with a welcome aperitivo, an informal opportunity to get to know one another and share something about our work, interests and the questions we bring. We introduce the course and the week ahead, making space for conversation and the first connections within the group.
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We explore the educational contexts we bring, our experiences of AI and the possibilities we would like to investigate. Through discussion and practical activities, we consider what it means for teachers and students to participate in shaping these technologies. An introduction to Playlab gives participants time to try existing tools and make their first adaptations.
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We identify a question, need or opportunity from our own practice and consider who we are designing for. What would we like learners to experience? Where might AI make a useful contribution? Participants develop an initial design and begin building, with support and feedback from the group. We also consider how students' perspectives could inform the idea from the outset.
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We develop our prototypes and test them with colleagues, exploring how they respond to different questions, approaches and unexpected inputs. We examine the assumptions and limitations that become visible, including questions of bias, accuracy and privacy. Participants document what they notice and use this feedback to revise their tools.
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We focus on how to bring this process into learning with students. Participants design an activity or sequence in which learners can investigate a question, create or adapt a tool and evaluate what they have made. We consider age, subject, accessibility and the support students may need, alongside opportunities for choice, collaboration and authorship.
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We share our prototypes and the thinking behind them: the questions we began with, the choices we made and what changed through testing. Peer discussion helps us identify what still needs attention and how we might explore our ideas with students and colleagues. Each participant develops a next step for their own setting, including how to gather feedback and look for evidence of learning. Course evaluation, feedback and discussion. Awarding the Certificate of Attendance. Structured cultural activities based on the hosting location.
What You Take Home
A working AI prototype rooted in your practice. Design, test and refine a tool around a question or need from your educational context, with a clear understanding of its purpose and limitations.
Greater confidence and critical judgment when working with AI. Explore how AI works, evaluate its outputs and make informed decisions about when and how to use it.
Practical ways to involve students as creators. Develop learning activities in which students ask questions, shape ideas, build or adapt tools and reflect on their choices.
A more inclusive approach to design. Consider how language, accessibility, bias and different experiences influence who can participate and whose perspectives are represented.
Experience of a collaborative design process. Use experimentation, peer feedback and documentation to develop your ideas and make your thinking visible.
A plan for continued exploration. Identify how to introduce your work in your setting, involve colleagues and learners, and gather evidence of what it contributes to learning.
A Certificate of Attendance, usable towards professional development hours.
Connections with Erasmus+ Priorities
The course connects particularly with three Erasmus+ priorities:
Digital transformation: developing educators' capacity to create, critically evaluate and thoughtfully integrate digital tools, while supporting students' AI literacy.
Inclusion and diversity: examining barriers to participation and designing with attention to different learners, contexts and perspectives.
Participation in democratic life, common values and civic engagement: creating opportunities for student voice, shared decision-making and critical discussion about how technology shapes our lives and communities.
Meet Our Partner - Playlab
Egoitz Etxeandia. Head of Europe at Playlab.
Playlab is a nonprofit organisation that supports educators and students in creating their own AI tools, without needing to code. Its work centres on creativity, community and the belief that educational AI should be shaped by the people who use it. Our partnership brings this approach into a shared space for experimentation, critical inquiry and learning through making.
Further Reading & Useful Resources
Playlab (https://www.playlab.ai/): the platform we use during the course to design, build and test AI tools around our own educational questions and contexts.
Playlab Gardens (https://gardens.playlab.ai/): a collection of AI tools created by the Playlab community, including student-built apps. A place to explore examples and find inspiration for your own designs.
AI Literacy Framework, European Commission and OECD (https://ailiteracyframework.org/): a framework for primary and secondary education that connects AI literacy with critical judgment, ethical awareness and educational purpose.
UNESCO AI Competency Framework for Students (https://www.unesco.org/en/articles/ai-competency-framework-students): a starting point for exploring the knowledge, skills and values students need to engage with AI, with attention to human agency, ethics and AI system design.
UNESCO AI Competency Framework for Teachers (https://www.unesco.org/en/articles/ai-competency-framework-teachers): a resource for reflecting on educators' professional learning, connecting an understanding of AI with pedagogy, ethical questions and human-centred approaches.
Scratch for Educators (https://scratch.mit.edu/educators): resources for exploring creative computing with students. Not an AI platform, but offers connections to learning through making, experimentation and sharing.
Erasmus+ Programme Priorities (https://erasmus-plus.ec.europa.eu/about-erasmus/programme-priorities): an overview of the programme's priorities.
Fees & What’s Included
Two ways to join.
Both include the same course and the same participant services; the full package adds your accommodation.
Full package · €1,445 Early registration price. After early-bird €1,545.
Course fee, participant services and six nights of accommodation with breakfast.
Limited availability, depending on the location. Tell us when you register and we will confirm it with you.
Course and services · €700Course fee and participant services. You arrange your own accommodation, and we share suggestions once your place is confirmed.
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Course fee, €480: full participation in the programme, facilitation and pedagogical accompaniment throughout the week, interpretation where needed, Certificate of Attendance.
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Participant services and cultural programme, €220: welcome aperitivo on the first evening, coffee breaks, a closing dinner, a cultural visit, the welcome packet with schedule and readings, course materials, translation when required and transport within the programme.
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Six nights of accommodation, with breakfast, near the course venue, and three lunches during the programme, on top of everything above.
The full package depends on the accommodation we can secure at each location, so places are limited. Tell us when you register if you would like it, and we will confirm availability.
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The early registration price applies to pre-registrations made eight weeks or more before the course starts. Later registrations cost €1,545, because of short notice accommodation and arrangements.
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Travel to and from the course location, and meals outside the programme, and personal purchases.
Dates and Registration
Dates and Location:
6 to 11 June 2027, Olbia, Sardinia, Italy.
Early price until 11 April 2027.
The course runs once enough participants have registered; please wait for our confirmation before booking travel.
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We confirm each course by email once enough participants have registered. Book flights and accommodation only after that, and choose flexible bookings; if we have to cancel a course, we refund you in full, but we can't cover travel costs.
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No. Pre-registration is free and there is no deposit. You pay by bank transfer only once your place is confirmed, and the amount is the one shown on the course page, with no extra fees. If your Erasmus+ grant hasn't arrived yet, tell us and we'll agree a timeline.
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Yes. All our courses fit Erasmus+ KA1 staff mobility. We provide a confirmation letter, a Learning or Mobility Agreement on your institution's template, a fee breakdown and a Certificate of Attendance. Our OID is E10299488.
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Tell us as early as you can. You can pass your place to a colleague or move to a future course at no cost. If you need a refund instead, the terms depend on how close to the start you cancel; they are in our Terms and Conditions.
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See the full FAQ.