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

Student in the middle of a programming task

Our 2024 seminar series is on the theme of teaching programming (with or without AI). In this series, we explore the latest research on how teachers can best support school-age learners to develop their programming skills.

Seminar take place on the first Tuesday of each month at 17:00–18:30 BST / 12:00–13:30 EDT / 9:00–10:30 PDT / 18:00–19:30 CEST. 

16 July: Laurie Gale (Raspberry Pi Computing Education Research Centre, University of Cambridge)

How should we teach debugging to secondary school students?

Depending on your experiences, you might view the process of bug-fixing as enjoyable, frustrating, both, or something in between. This is no different for school students, particularly while they make the transition from a block-based to a text-based programming language. This seminar will consider some of the cognitive, emotional, and teaching-related challenges that often make debugging (in a text-based programming language) a challenging process for secondary school students to get right. Expect to get some new ideas for teaching debugging, as well as an opportunity to share your own ideas and experiences around the powerful process of bug-fixing.

Laurie Gale is a second-year PhD student at the Raspberry Pi Computing Education Research Centre, supervised by Dr Sue Sentance. He is interested in exploring how to teach programming to primary/secondary school students, with the hope of helping more pupils to enjoy, engage with, and achieve in computing.

10 September

More information coming soon.

8 October: Juho Leinonen & Arto Hellas (Aalto University)

Teaching and learning computer science with the rapidly evolving generative AI models

The rapidly evolving landscape of generative AI has already transformed computing education. Educators and researchers are exploring how to best integrate generative AI into their teaching. In this talk, Arto Hellas and Juho Leinonen from Aalto University, Finland, outline their experiences utilising generative AI for a wide variety of teaching tasks, such as exercise generation, responding to student help requests, as well as teaching students how to prompt large language models. Furthermore, they discuss their experiences organising a course on software engineering with large language models, where the rapid evolution of the field presents both challenges and opportunities.

Arto Hellas is a Senior University Lecturer at Aalto University. He has been working with software in a variety of roles for a quarter of a century, and his current research focuses on understanding learning in digital and hybrid environments, especially in the context of computer science education. Most recently, he has been exploring the possibilities of large language models in enhancing learning and teaching.

Juho Leinonen is an Academy Research Fellow at Aalto University. He previously worked as a Postdoctoral Researcher at The University of Auckland, Aalto University, and the University of Helsinki, where he earned his PhD in 2019. His research focuses on using educational technology and AI to support and engage learners through learning analytics, generative AI applications, and learnersourcing.

12 November

More information coming soon.

10 December: Leo Porter (UC San Diego)

More information coming soon.

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.