Research seminars
We host free online seminars on current computing education research topics. Speakers from around the world present their work in the field.
This is your opportunity to learn from the latest research insights, make connections with fellow educators and researchers, and take part in discussions.
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Join an upcoming seminar session
The theme for our 2025 seminar series is teaching about AI and data science. We’ll be looking at research in schools to identify what students should learn about AI, machine learning, and data science, and the best ways to teach these critical topics.
Seminars usually take place on the first Tuesday of each month at 17:00–18:30 GMT / 12:00–13:30 ET / 9:00–10:30 PT / 18:00–19:30 CET.
11 November: Karl-Emil Bilstrup (Copenhagen University)
Using the micro:bit to learn about machine learning practices
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.
Karl-Emil Bilstrup is a postdoctoral computer science researcher and interaction designer at Copenhagen University. He is part of the Center for Computational Thinking and Design at Aarhus University, Denmark, where he did his PhD on designing educational tools for teaching machine learning in secondary education with a Scandinavian focus on sustaining students’ agency in an increasingly digitised and computationalised world. He has contributed to research in embodied interaction for learning and has been a visiting researcher in the Embodied Design Research Laboratory at UC Berkeley. He has collaborated with the Micro:bit Educational Foundation about designing CreateAI, which brings embodied activities with machine learning into classrooms.
2 December: Jesús Moreno Leon (University of Seville)
How to measure AI literacy
In this seminar, Jesús Moreno-León will explore methods for measuring and evaluating artificial intelligence literacy. He will present an assessment instrument that has been successfully implemented in several research studies, involving thousands of primary and secondary education students across Spain, discussing both its strengths and limitations.
Additionally, he will share recent progress in developing a new instrument influenced by the SEAME framework, which groups learning objectives and resources related to teaching AI and machine learning based on whether they focus on Social and Ethical aspects (SE), Applications (A), Models (M), or Engines (E — how AI works).
Jesús Moreno-León is a computer science researcher and professor at the University of Seville. His career spans diverse educational landscapes, including leadership roles at the Spanish Ministry of Education and pedagogic management of Fundación Telefónica's 42 Campus network across Spain. He is also co-director of Programamos, a non-profit organisation fostering computer science education from early ages that has won multiple awards.
Catch up on previous seminars
We have had the privilege to learn from many incredible researchers since we started our seminars in 2020, and we're excited to share their talks with you. Explore the archives below to watch and read about past seminars.
Seminar recordings
We make the seminar talks available to watch after they take place. Discover recordings from our current and previous series on programming; primary (K–5) computing; cross-disciplinary computing; artificial intelligence; and equity, diversity and inclusion.
Summaries on the blog
After each seminar, we publish a short blog to sum up some of its main take-aways and share the video recording of the speaker's talk. Each blog highlights how the seminar applies to teachers' classroom practice. Browse the archive of seminar blogs.