Lukas Lehner
Univ.Ass. Dipl.-Ing. / BSc
Role
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PreDoc Researcher
Software Engineering, E194-01
Courses
Publications
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Should we open the Black Box? Investigating Transparency in K-12 Machine Learning Education
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Ferraioli, V., & Lehner, L. (2026). Should we open the Black Box? Investigating Transparency in K-12 Machine Learning Education. In N. Bergner, T. Michaeli, & A. Brodnik (Eds.), WiPSCE ’26 : Proceedings of the 20th WiPSCE Conference on Primary and Secondary Computing Education Research. The Association for Computing Machinery (ACM). https://doi.org/10.1145/3801749.3801788
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The Neural Bridge: From Haptic Cords to Python Code — A Multi-Abstraction Instructional Sequence for Teaching Neural Networks in K-12
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Ritter, F., Lehner, L., Betten, I., & Berk, S. (2026). The Neural Bridge: From Haptic Cords to Python Code — A Multi-Abstraction Instructional Sequence for Teaching Neural Networks in K-12. In Á. Velázquez-Iturbide, J. Urquiza-Fuentes, Q. Cutts, K. Quille, & S. Cooper (Eds.), ITiCSE 2026: Proceedings of the 31st ACM Conference on Innovation and Technology in Computer Science Education V. 2 (pp. 823–824). ACM. https://doi.org/10.1145/3803401.3811980
Download: PDF (852 KB) - Turning Students into Neurons — Evaluating an Embodied CS Unplugged Learning Activity on Neural Networks / Lehner, L., Reinhard, S., Landman, M., & Röpke, R. (2026). Turning Students into Neurons — Evaluating an Embodied CS Unplugged Learning Activity on Neural Networks. In WiPSCE ’26: Proceedings of the 20th WiPSCE Conference on Primary and Secondary Computing Education Research (pp. 1–10). ACM. https://doi.org/10.1145/3801749.3801755
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"I'm Actually More Interested in AI Than in Computer Science" - 12-Year-Olds Describing Their First Encounter with AI
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Lenke, M., Lehner, L., & Landman, M. (2025). “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) (pp. 1–10). https://doi.org/10.1109/EDUCON62633.2025.11016657
Project: AbInfVS (2023–2025) - 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
- Technischer Hintergrund und Anwendungsfälle von KI / Lehner, L. (2025). Technischer Hintergrund und Anwendungsfälle von KI. In KI und Recht: Grundlagen der Künstlichen Intelligenz (pp. 1–46). Linde.
- Vom Schlagwort zur Praxis: Computational Thinking in der Theorie und im eduLAB / Landman, M., & Lehner, L. (2024, November). Vom Schlagwort zur Praxis: Computational Thinking in der Theorie und im eduLAB. OCG Journal, 49(4), 24–26. http://hdl.handle.net/20.500.12708/210708
- Machine Learning Unplugged im Schulunterricht / Lehner, L. (2024, October 24). Machine Learning Unplugged im Schulunterricht [Presentation]. Informatiktag 2024, Baden, Austria.
- 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.
- A Mental Leap: Impact of Teaching the Math Behind Machine Learning Techniques in K-12 / Lehner, L. (2024). A Mental Leap: Impact of Teaching the Math Behind Machine Learning Techniques in K-12. In ITiCSE 2024: Proceedings of the 2024 on Innovation and Technology in Computer Science Education V. 2 (pp. 844–845). Association for Computing Machinery (ACM). https://doi.org/10.1145/3649405.3659479
- 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
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Machine learning unplugged - Training decision trees and artificial neural networks with children
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Lehner, L. (2023). Machine learning unplugged - Training decision trees and artificial neural networks with children [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2023.107391
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