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Biography

Martina鈥檚 experience as a former Computer Science and Mathematics teacher equips her with practical skills and a deep understanding of school education. Her PhD research focused on the algorithmic problem-solving strategies of young learners, using an approach called "Computer Science Unplugged", the practice of learning about computer science without using computers. Drawing on qualitative research methods and close collaboration with teachers, Martina鈥檚 current research focuses on AI education, particularly designing and developing curriculum to teach AI to K-12 learners. She is interested in the debates surrounding why we should teach about AI in school, ensuring that the perspectives of educators and students inform the future of AI education.

Degrees

PhD in Computer Science, TU Wien, Vienna, Austria 

MEd and BEd in Computer Science & Mathematics, University of Vienna, Austria

Specific Research interests

AI Curriculum 

Computer Science unplugged

Major Awards and Prizes

Best Junior Reviewer Award at the International Conference on Informatics in Schools 2025 

Outstanding Junior Presentation Award at the International Conference on Informatics in Schools 2023

Google scholar: https://scholar.google.com/citations?user=Avnp0ZwAAAAJ&hl=de