AI Curriculum Handbook

The AI curriculum Handbook aims at helping school teachers in comprehending AI and introducing AI literacy to their students through a STEM context and STEAM learning approach. STEM context (and STEAM approach) is considered a privileged field to introduce AI because it combines various scientific disciplines, which enable students to explore real-world problems through a hands-on interdisciplinary approach. The curriculum aims to improve teachers’ digital skills and competences and enhance their confidence in using AI in the teaching and learning process by introducing them to core mechanisms of AI, such as data structures, algorithms, and Machine Learning, and demonstrating their implementation in real-world scenarios.

March 2026

The AI-Body Beats

The AI-Body Beats

The AI-Body Beats project introduces students to core AI concepts through hands-on engaging STEAM activities using the BBC micro:bit V2 with the micro:bit CreateAI tool and MakeCode editor. Students collect and curate motion data with the micro:bit’s accelerometer to train machine learning models recognizing physical gestures, which they then program to generate sounds or visuals. At a second level, they build an interactive virtual dance coach game that requires more advanced programming skills. The project integrates AI concepts like perception, reasoning, and learning while promoting creativity, collaboration, and problem-solving. It connects AI literacy with physical activity and real-world applications, aiming to engage learners with diverse learning styles—including those less interested in STEM—and to support Sustainable Development Goals for good health and quality education.

Visual Lab

Visual Lab

Visual Lab engages students in pairs to co-design mini web apps in HTML+JS that make visible the core concepts of mathematics, probability, and statistics. The apps are intended not only to simulate processes but also to illustrate the mathematical rules, formulas, and laws (e.g., combinatorics, distributions, the Law of Large Numbers) that underlie problem-solving. Students co-design with a chatbot using a constructionist approach and record outcomes on a shared index page.

This recording features the second workshop on using artificial intelligence in education and is designed as a training resource for teachers. The session showcases the “AI Body Beats” project by the @Edumotiva team — a hands-on learning experience that builds AI literacy through STEAM and creativity. In this video, you will learn:

• How to train machine learning models for gesture recognition using the Micro:bit CreateAI platform
• How to build an embodied musical instrument with the #BBCmicrobit
• How to introduce core #AI concepts (e.g. perception, reasoning, learning) in your teaching

The recording of a workshop on the use of artificial intelligence in education has been prepared as a training resource for teachers.
In this 30-minute video, you will:

• gain an introduction to the basic mechanisms of how AI works,
• explore practical methodologies for bringing this topic into school education,
• discover examples of AI tools ready to use directly in the classroom,
• review a sample lesson plan for introducing AI to students.

July 2025

Report on AI Tools, AI curricula and Data on AI utilization in STEM

AI Tools and Curricula – WP2 Report (AI2Schools)

This report explores how artificial intelligence can support STEM education in schools across Germany, Greece, Italy, and Poland. It provides an overview of national curricula, examples of AI tools for classroom use, and a summary of recent research. The document highlights both the challenges and the potential of AI in education – a must-read for those interested in shaping future skills.