14 October 2025
Online teaching about AI research seminar
Viktoriya Olari (Free University of Berlin)

Data-related concepts and practices for AI education in K–12

Raspberry Pi invite computing educators to join them for the next session in their ongoing seminar series on Teaching about AI and data science.

“On Tuesday, 14 October, we welcome Viktoriya Olari from the Free University of Berlin, who will discuss how data-related concepts and practices can be effectively integrated into AI education for school-aged learners.

As AI becomes increasingly embedded in curricula around the world, the challenge lies in addressing its complexity—particularly the fundamental role of data in shaping AI systems. In this seminar, Viktoriya will present:

• A model of key data-related practices in AI education
• A set of essential data-related concepts for understanding AI systems
• Insights from a design-based research study on implementing these ideas in K–12 classrooms

This will be our ninth seminar session in the 2025 series.” (More info below)

Register here: rpf.io/seminars

📌 Date and time: Tuesday, 14 October
17:00–18:30 BST / 12:00–13:30 EDT / 9:00–10:30 PDT / 18:00–19:30 CEST
Please share this event with teachers and researchers who may be interested.

“Curricula around the world have started to include content related to AI into their agendas. This process is timely and important, but it is also challenging because the elaboration of the AI field for K–12 is still ongoing. Current efforts often underappreciate the critical role of data, despite it being a fundamental component of AI systems. If the goal is to enable students to understand how AI systems work and what their implications are, it is crucial to understand what data underpins these systems, and how it is collected and processed.

To advance knowledge about the role of data in AI education, Viktoriya Olari conducted a comprehensive theoretical analysis of the AI field. In this seminar, she will present the results of her work: a model of key data-related practices and a collection of key data-related concepts that are essential for understanding how AI systems are created and function. She will also share insights from a design-based research study on implementing data-related concepts and practices in AI education in schools.

Viktoriya Olari is a researcher and PhD student in the Computing Education Research Group at the Free University of Berlin, with research interests in AI and data education. She has worked on various projects educating teachers and students on AI and data literacy, such as TrainDL. She served as a member of the AI literacy expert group at the Council of Europe and is currently an advisory board member of the Data Civic Lab in Germany”

Save the date for their next seminar on 11 November, about “Using the micro:bit to learn about machine learning practice.”

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