Artificial intelligence at school: three hours of workshop training for teachers
The rollout of the Experience AI programme continues. This international initiative is promoted by the Raspberry Pi Foundation and Google DeepMind and brought to Italy by Fondazione Mondo Digitale ETS. The event includes a three-hour in-person training session for teachers at the Primo Levi comprehensive school in Marino, coordinated by headteacher Francesca Toscano, with the aim of providing theoretical and practical tools for integrating artificial intelligence education into everyday teaching.
The events
- 20 February, from 4.30 pm to 7.30 pm: nursery, primary and secondary school
- 26 February, from 4.30 p.m. to 7.30 p.m.: primary and secondary school
AI and the educational context: why start with the basics
The workshop opens with a reflection on what intelligence, both human and artificial, really is and how AI is already present in the lives of students and teachers: from conversational systems such as Gemini to automatic music and content generators. AI literacy is no longer an option, but a key skill for exercising informed digital citizenship. Understanding how intelligent systems work means knowing how to use, question and critically evaluate them.
Rules, data and bias: inside the mechanisms of AI
One of the central themes of the meeting concerns the distinction between rule-based AI and data-based AI. Through concrete examples, from chatbots to streaming platforms, teachers explore how models are trained, how they generate predictions and what risks may arise. Particular attention is paid to the issue of bias, both technical (distortions in training data) and social. The aim is to provide tools to recognise and reduce them, promoting a more equitable and responsible use of technologies.
Machine learning: understanding machine learning
The course then delves into the heart of machine learning, distinguishing between supervised, unsupervised and reinforcement models. Through a practical activity, the classification of animals using decision trees, participants directly experience the concepts of labelling, class, training and prediction, transforming theory into a learning experience that can be replicated in the classroom.
Ethics, FATPS and mini-lab
The training concludes with a reflection on the FATPS framework (Fairness, Accountability, Transparency, Privacy, Security), an ethical compass for evaluating and designing activities with AI. In the final mini-lab, teachers participate in a guided Creathon: prompt construction, results analysis and collective discussion on the risks of bias and ethical implications. This exercise also helps to avoid anthropomorphism, recognising AI as a tool and not as a subject.
Free resources to continue
During the meeting, the free resources available on experience-ai.org are presented: teaching units on fundamentals, LLM, ecosystems and security, with videos, guides and presentations ready for use in the classroom.
The training is conducted by Marco Brocchieri, trainer at Fondazione Mondo Digitale ETS, and is part of the Foundation's broader commitment to supporting schools in the transition towards a conscious and educationally meaningful use of artificial intelligence.
A concrete step towards transforming AI from an object of curiosity or fear into a structured educational opportunity, capable of strengthening critical thinking, digital skills and civic responsibility.
