Using the micro:bit to learn about machine learning practices

More information: https://www.raspberrypi.org/research-impact/research/seminars
Registration link: https://form.raspberrypi.org/f/research-seminar-sign-up

Karl-Emil Bilstrup (Copenhagen University)
11 November 2025
5-6.30pm GMT
12 noon-1.30pm ET
9-10.30am PT
6-7.30pm CET

This seminar will present the research and design rationales behind ml-machine.org — the precursor to micro:bit’s CreateAI. This educational tool lets students build machine learning models with accelerometer data from the micro:bit. 

Karl-Emil Bilstrup will show prototypes of tangible interfaces and embodied activities that enable secondary-level students to explore data processes and machine learning practices. He will discuss how these tools can support critical reflections on the ethical design considerations and trade-offs involved in creating data-driven systems and how they can unbox aspects of modern chatbots. Further, he will describe his collaborations with teachers, schools, and other educational organisations, such as the Danish Broadcasting Corporation and the Micro:bit Educational Foundation, to integrate his tools into educational and organisational practices.

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If you want to gen up on AI or mug up on machine learning you might find our resource page on activities for public engagement in artificial intelligence useful. It also includes some educational material (including Raspberry Pi’s Experience AI programme of ready-to-teach lesson plans).

Activities for public engagement in Artificial Intelligence