Lukas Lehner

PhD Student

Contact

Telefon: +43 1 58801 194111

E-Mail: lukas.lehner@tuwien.ac.at

About me

Research Interests

Teaching

  • Informatics didactics (Didaktik in der Informatik, Abenteuer Informatik)

Publications

  • 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: Proceedings of the 31st ACM Conference on Innovation and Technology in Computer Science Education V. 2 (ITiCSE 2026), July 10–15, 2026, Madrid, Spain. ACM, New York, NY, USA, 2 pages. https://doi.org/10.1145/3803401.3811980 [accepted for publication]
  • Lehner, L., Reinhard, S., Landman, M., Röpke, R. (2026): Turning Students into Neurons — Evaluating an Embodied CS Unplugged Learning Activity on Neural Networks. In: The 20th WiPSCE Conference on Primary and Secondary Computing Education Research (WiPSCE 2026), March 11-13, 2026, Aachen, Germany. ACM, New York, NY, USA. https://doi.org/10.1145/3801749.3801755 [accepted for publication]
  • Ferraioli, V., Lehner, L. (2026): Should we open the Black Box? Investigating Transparency in K-12 Machine Learning Education. In: The 20th WiPSCE Conference on Primary and Secondary Computing Education Research (WiPSCE 2026), March 11-13, 2026, Aachen, Germany. ACM, New York, NY, USA, 2 pages. https://doi.org/10.1145/3801749.3801788 [accepted for publication]
  • 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. IEEE, London. https://doi.org/10.1109/EDUCON62633.2025.11016657
  • 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
  • Lehner, L., Landman, M. (2024): Unplugged Decision Tree Learning – A Learning Activity for Machine Learning Education in K-12. In: Creative Mathematical Sciences Communication (CMSC 2024). pp. 50–65. Springer, Cham, pp. 50–65 (2024). https://doi.org/10.1007/978-3-031-73257-7_4
  • Lehner, L. (2024): A Mental Leap: Impact of Teaching the Math Behind Machine Learning Techniques in K-12. In Proceedings of the 2024 on Innovation and Technology in Computer Science Education V. 2 (ITiCSE 2024). ACM, New York, NY, USA, 2 pages. https://doi.org/10.1145/3649405.3659479