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AI education for young people

We are investigating how best to teach and learn the fundamentals of artificial intelligence (AI), machine learning (ML), and data science. We have analysed more than 500 learning resources about AI and ML. To do this, we developed and used a framework called SEAME. The framework can be used to categorise or design resources using four levels: Social & Ethical, Application, Model, Engine. 

In 2021/2022, we hosted an online seminar series on AI and ML teaching and learning in K–12, in partnership with The Alan Turing Institute, in which leading international researchers presented their research in this area. The seminar series is accompanied by a seminar proceedings.


Sentance, S. & Waite, J. (2022). Perspectives on AI and data science education. In AI, data science, and young people. Understanding computing education (Vol 3). Proceedings of the Raspberry Pi Foundation Research Seminars. rpf.io/seminar-proceedings-vol-3-sentance-waite

Tshukudu, E., Waite, J., Rizvi, S., & Sentance, S. (2022, July). Teachers’ Motivations to Learn about ML and AI. In Proceedings of the 27th ACM Conference on on Innovation and Technology in Computer Science Education Vol. 2 (p. 609). https://doi.org/10.1145/3502717.3532148

Other reading

Evaluating work to support the next generation of AI leaders
Artificial intelligence and data science education — resources and lessons learned
Seminar chapters from our AI and data science education series
Announcing our seminar series in AI and data science education