Giuseppe Fiamingo is a Mathematics and Physics teacher at the Istituto d’Istruzione Superiore di Tropea “P. Galluppi” in Italy. His work centres on integrating Artificial Intelligence and digital technologies into STEM education to solve a crucial educational challenge: making the teaching of STEM disciplines more engaging, inclusive, and effective, particularly in complex territorial contexts like Calabria, where access to cutting-edge technological resources and opportunities is often limited.

Traditionally, mathematics, physics, and computer science are taught as abstract subjects, which students often find demotivating. Fiamingo believes STEM subjects should not just be taught as theories, but as essential cultural and scientific tools capable of transforming reality and opening up future pathways for young people. His goal was to move beyond passive instruction and enable students to experience the thrill of scientific discovery. To tackle this challenge, Fiamingo designed initiatives that merge experimental teaching, programming, and Artificial Intelligence.

Among these, the Astro Pi project enabled students to design and programme experiments that were then executed aboard the International Space Station (ISS). Students programmed algorithms on the ISS to collect and interpret environmental data. AI was key in automatically classifying images, interpreting water luminance, and understanding natural phenomena through automated procedures. The project was presented at the National Conference on Computer Science Education ITADINFO 2025 and published in its proceedings.

He also guided his students in the MoCRiL project (Measurement of Cosmic Rays in Lake), an initiative developed in collaboration with UNICAL (University of Calabria), INFN-OCRA (National Institute for Nuclear Physics), and four high schools in the Calabria region. It combines particle physics, environmental science, and digital technologies. Conducted on Lake Arvo in Calabria, the project used AI models to manage and interpret complex sensor data. Students learned to apply AI to extract insights from large datasets, transforming raw measurements into scientific understanding. The project was featured as a best practice by the European Space Agency’s ESERO network, and participating students received international recognition for two consecutive years: First Prize in China at the 42nd Beijing Youth Science Creation Competition with the MoCRiL project, and First Prize at the 43rd Beijing Youth Science Creation Competition.

Through these initiatives, Fiamingo has established an approach to science education that links AI with real-world experimentation. His projects have contributed to national and international recognition, demonstrating how practical, AI-based teaching can extend scientific literacy and open new educational and professional pathways for young people.