- Research Staff
I am a Research Associate and working in the field of Computing Education. My current focus lies in AI Education. I am also a member of the Raspberry Pi Computing Education Research Centre.
In my research, I love working directly with the people who are affected by its results. I like to conduct interviews and workshops with students and teachers to ensure their voices shape the direction of my research projects. AI Education is a young field, therefore I believe that to be able to address real classroom challenges we need to listen to the needs and expectations of the people inside the classroom.
I wish that Computer Science Education Research will empower future generations to shape a better world. A first step towards this goal is equipping students with critical thinking and problem solving skills needed to address future challenges.
Biography
I am a former Computer Science and Mathematics teacher from Austria experienced in teaching 10- to 18-year-old school students. My passion to contribute more to the field of Computing Education motivated me to do step into the academic field of Computer Science Education Research.
My PhD research at TU Wien Informatics focused on Algorithmic Problem solving with the Computer Science Unplugged approach. I conducted qualitative video analysis of children collaboratively solving a sorting task using special designed cards to find out more about students’ intuitive approaches on applying algorithms, such as sorting algorithms.
I am very experienced in doing University Outreach to Schools as I was a leading figure of the TU Wien Informatics eduLAB from 2021-2025. In this outreach initiative I organised and created school workshops with Computer Science topics such Algorithms, AI and Coding; Summer Camps; and hands-on stations at events. These workshops reached over 3000 students annually, teaching Computer Science Concepts and supporting teachers. I conducted accompanying research around the initiative such as evaluating new approaches, such as a hands-on approach to learn about Machine Learning, specifically Decision Tree Learning.
My PhD project was honoured with a netidee grant of 10 000€. I received the 'Best Student Presentation Award' at ISSEP 2023 and the 'Best Junior Reviewer Award' at ISSEP 2025. Additionally, I serve as a board member of the Austrian Computer Society (OCG).
Publications
2025 – Lenke, Michael; Lehner, Lukas; Landman, Martina. “I'm Actually More Interested in AI Than in Computer Science” – 12-Year-Olds Describing Their First Encounter with AI. In 2025 IEEE Global Engineering Education Conference (EDUCON). IEEE. Pages 10–Jan.
2025 – Schulte, Carsten; Sentance, Sue; Sparmann, Sören; Altin, Rukiye; Friebroon-Yesharim, Mor; Landman, Martina; Rücker, Michael T; Satavlekar, Spruha; Siegel, Angela; Tedre, Matti. What we talk about when we talk about K-12 computing education. In 2024 Working Group Reports on Innovation and Technology in Computer Science Education. Pages 226–257.
2024 – Lehner, Lukas; Landman, Martina. Unplugged Decision Tree Learning – A Learning Activity for Machine Learning Education in K-12. In International Conference on Creative Mathematical Sciences Communication. Springer Nature Switzerland Cham. Pages 50–65.
2024 – Steinert, Felix; Kummer, Julia; Landman, Martina; Lehner, Lukas. From Concept to Code: A Two-Day Workshop for Secondary Students on Computational Thinking and Programming. Olympiads in Informatics (IOI), Volume 18, pages 89–100. Vilnius University.
2024 – Landman, Martina; Kohn, Tobias. “Something that Happens Each Day” – Students’ Explanations of What Algorithms Are. In Proceedings of the 2024 on Innovation and Technology in Computer Science Education, Vol. 1. Pages 199–205.
2023 – Unkovic, Svetlana; Landman, Martina. Supporting Non-CS Teachers with Programming Lessons. In ISSEP 2023. Zenodo. Pages 61–74.
2023 – Landman, Martina; Rain, Sophie; Kovács, Laura; Futschek, Gerald. Reshaping Unplugged Computer Science Workshops for Primary School Education. In International Conference on Informatics in Schools: Situation, Evolution, and Perspectives. Springer Nature Switzerland Cham. Pages 139–15
2022 – Landman, Martina; Futschek, Gerald; Unkovic, Svetlana; Voboril, Florentina. Initial Learning of Textual Programming at School: Evolution of Outreach Activities. Olympiads in Informatics. Pages 43–53.
