With CreateAI, students can use their own movement data to train, test, and improve a machine learning model, bringing AI concepts to life. Students can integrate their model into a MakeCode program on their micro:bit, turning abstract AI into real-world applications. From recognizing claps and jumps to creating innovative AI-powered tech, and they can do it all in under 90 minutes!

We're very proud to announce that Professor Marianne Graves Petersen and postdocs Magnus Høholt Kaspersen and Karl-Emil Kjær Bilstrup, as part of Center for Computational Thinking and Design, have played a key role in developing this tool 🎉 Building on their ML-Machine, successfully used in Danish schools as part of the Ultra:bit campaign with Danish broadcasting corporation DR, CreateAI now brings AI exploration to classrooms worldwide!

About Center for Computational Thinking and Design (CCTD)

Founded in 2018, CCTD focuses on advancing international research and developing research-based education in digital technology (TechEd). Its mission is to empower citizens, especially children and youth, with digital competences to navigate, create, and reflect on technology in their lives, communities, and society.

Through interdisciplinary research blending computer science and the humanities, CCTD emphasizes computational empowerment—teaching skills like problem-solving, digital solution design, and ethical reflection across all education levels, from preschool to university.

💡 𝐖𝐚𝐧𝐭 𝐭𝐨 𝐤𝐧𝐨𝐰 𝐦𝐨𝐫𝐞? 

• micro:bit CreateAI launch article ➡️ https://microbit.org/news/2024-11-20/microbit-CreateAI-launch/ 

• Try micro:bit CreateAI ➡️ https://createai.microbit.org/ 

• Center for Computational Thinking and Design (funded by It-vest – networking universities & Villum Fonden) ➡️https://cctd.au.dk/projects/explorative-and-embodied-approaches-to-teaching-machine-learning-from-research-to-practice  

• ML-Machine developed by CCTD ➡️ https://ml-machine.org/