Record link: 
http://hdl.handle.net/20.500.12708/230387
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Title: 
Improving Algorithmic Understanding via Path-finding Algorithms in Unplugged/Plugged Hybrid Workshops
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Citation: 
Eickmeyer, M., Seierl, O., Landman, M., & Röpke, R. (2026). Improving Algorithmic Understanding via Path-finding Algorithms in Unplugged/Plugged Hybrid Workshops. In WiPSCE ’26: Proceedings of the 20th WiPSCE Conference on Primary and Secondary Computing Education Research (pp. 1–2). ACM. https://doi.org/10.1145/3801749.3801774
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Publisher DOI: 
10.1145/3801749.3801774
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Publication Type: 
Inproceedings - Abstract Book Contribution
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Language: 
English
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Authors: 
Eickmeyer, Michael 
Seierl, Oskar 
Landman, Martina 
Röpke, René 
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Organisational Unit: 
E194-01 - Forschungsbereich Software Engineering 
E059-03 - Fachbereich CTSi - Center for Technology-driven Social Innovation 
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Published in: 
WiPSCE '26: Proceedings of the 20th WiPSCE Conference on Primary and Secondary Computing Education Research 
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ISBN: 
9798400725029
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Date (published): 
20-Aug-2026
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Event name: 
20th WiPSCE Conference on Primary and Secondary Computing Education Research (WiPSCE '26) 
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Event date: 
11-Mar-2026 - 13-Mar-2026
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Event place: 
Aachen, Germany
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Number of Pages: 
2
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Publisher: 
ACM, New York, NY, USA
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Peer reviewed: 
Yes
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Keywords: 
computing education; algorithm understanding; path-finding
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Project title: 
Dev0land: 5480212 (Wirtschaftsagentur Wien Ein Fonds der Stadt Wien) 
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Research Areas: 
Visual Computing and Human-Centered Technology: 40%
Information Systems Engineering: 40%
Beyond TUW-research focus: 20%
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Science Branch: 
1020 - Informatik: 90%
5020 - Wirtschaftswissenschaften: 10%
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Appears in Collections:
Conference Paper

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