Martina Landman
Univ.Ass.in / BEd MEd
Role
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PreDoc Researcher
Software Engineering, E194-01
Courses
2024W
- Informatics didactics / 194.042 / SE
- VWA Mentoring II / 194.165 / SE
2025S
- Informatics didactics / 194.042 / SE
Projects
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Dev0land
2024 – 2026 / Vienna Business Agency (WAW)
Publications
- Unplugged Decision Tree Learning – A Learning Activity for Machine Learning Education in K-12 / Lehner, L., & Landman, M. (2025). Unplugged Decision Tree Learning – A Learning Activity for Machine Learning Education in K-12. In Creative Mathematical Sciences Communication (pp. 50–65). Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-73257-7_4
- Decision Tree Learning – eine ML-Methode «unplugged» im Unterricht einsetzen / Lehner, L., & Landman, M. (2024, October 10). Decision Tree Learning – eine ML-Methode «unplugged» im Unterricht einsetzen [Presentation]. Trierer Tag des Informatikunterrichts 2024, Trier, Germany.
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"Something that Happens Each Day" - Students' Explanations of What Algorithms Are
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Landman, M., & Kohn, T. (2024). “Something that Happens Each Day” - Students’ Explanations of What Algorithms Are. In ITiCSE 2024: Proceedings of the 2024 on Innovation and Technology in Computer Science Education V. 1 (pp. 199–205). Association for Computing Machinery (ACM). https://doi.org/10.1145/3649217.3653531
Download: Full text (1.43 MB) - Machine Learning Unplugged im Schulunterricht / Lehner, L., & Landman, M. (2024, June 12). Machine Learning Unplugged im Schulunterricht [Presentation]. 13. Schweizer Tag für Informatikunterricht (STIU 2024), Zürich, Switzerland.
- Informatik begreifen - eduLAB Mitmachstationen / Landman, M., Lehner, L., Kummer, J., Steinert, F., Jaud, A., Kügler, C., Ehart, A., Christoph, T., & Einzinger, J. (2024, May 24). Informatik begreifen - eduLAB Mitmachstationen [Exhibition Contribution]. Lange Nacht der Forschung, Wien, Austria. http://hdl.handle.net/20.500.12708/205549
- From Concept to Code: A Two-Day Workshop for Secondary Students on Computational Thinking and Programming / Steinert, F., Kummer, J., Landman, M., & Lehner, L. (2024). From Concept to Code: A Two-Day Workshop for Secondary Students on Computational Thinking and Programming. In Olympiads in Informatics: Selected papers of the International Conference joint with the XXXVI International Olympiad in Informatics Alexandria, Egypt, 1–8 September, 2024 (Vol. 18, pp. 89–100). Vilnius University. https://doi.org/10.15388/ioi.2024.07
- Probleme algorithmisch lösen lernen / Landman, M. (2024). Probleme algorithmisch lösen lernen. OCG Journal, 49(1), 32–33. http://hdl.handle.net/20.500.12708/197824
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Supporting Non-CS Teachers with Programming Lessons
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Unkovic, S., & Landman, M. (2023). Supporting Non-CS Teachers with Programming Lessons. In J.-P. Pellet & G. Parriaux (Eds.), Informatics in Schools: ISSEP 2023 Local Proceedings: 16th International Conference on Informatics in Schools: Situation, Evolution, and Perspectives, ISSEP 2023 (pp. 61–74). Zenodo. https://doi.org/10.5281/zenodo.10015799
Download: PDF (1.2 MB) -
Reshaping Unplugged Computer Science Workshops for Primary School Education
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Landman, M., Rain, S., Kovács, L., & Gerald Futschek. (2023). Reshaping Unplugged Computer Science Workshops for Primary School Education. In J.-P. Pellet & G. Parriaux (Eds.), Informatics in Schools. Beyond Bits and Bytes: Nurturing Informatics Intelligence in Education : 16th International Conference on Informatics in Schools: Situation, Evolution, and Perspectives, ISSEP 2023, Lausanne, Switzerland, October 23–25, 2023, Proceedings (pp. 139–151). Springer. https://doi.org/10.1007/978-3-031-44900-0_11
Download: PDF (1020 KB)
Projects: AbInfVS (2023–2025) / SFB SPyCoDe (2023–2026) -
Computational Thinking in Teacher Education
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Dagienė, V., Futschek, G., Landman, M., Stupurienė, G., & Gülbahar, Y. (2022, August 22). Computational Thinking in Teacher Education [Conference Presentation]. WCCE 2022, Hiroshima, Japan. http://hdl.handle.net/20.500.12708/153710
Project: TeaEdu4CT (2019–2022)