<div class="csl-bib-body">
<div class="csl-entry">Eickmeyer, M., Seierl, O., Landman, M., & Röpke, R. (2026). Improving Algorithmic Understanding via Path-finding Algorithms in Unplugged/Plugged Hybrid Workshops. In <i>WiPSCE ’26: Proceedings of the 20th WiPSCE Conference on Primary and Secondary Computing Education Research</i> (pp. 1–2). ACM. https://doi.org/10.1145/3801749.3801774</div>
</div>
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http://hdl.handle.net/20.500.12708/230387
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Wirtschaftsagentur Wien Ein Fonds der Stadt Wien
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dc.language.iso
en
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dc.subject
computing education
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dc.subject
algorithm understanding
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dc.subject
path-finding
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dc.title
Improving Algorithmic Understanding via Path-finding Algorithms in Unplugged/Plugged Hybrid Workshops
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dc.type
Inproceedings
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dc.type
Konferenzbeitrag
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dc.contributor.affiliation
TU Wien, Austria
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dc.contributor.affiliation
TU Wien, Austria
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dc.contributor.affiliation
University of Cambridge, United Kingdom of Great Britain and Northern Ireland (the)
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dc.relation.isbn
9798400725029
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dc.description.startpage
1
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dc.description.endpage
2
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5480212
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Abstract Book Contribution
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tuw.booktitle
WiPSCE '26: Proceedings of the 20th WiPSCE Conference on Primary and Secondary Computing Education Research
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true
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ACM
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New York, NY, USA
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36
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Dev0land
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Visual Computing and Human-Centered Technology
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Information Systems Engineering
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Beyond TUW-research focus
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E194-01 - Forschungsbereich Software Engineering
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E059-03 - Fachbereich CTSi - Center for Technology-driven Social Innovation
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tuw.publisher.doi
10.1145/3801749.3801774
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20th WiPSCE Conference on Primary and Secondary Computing Education Research (WiPSCE '26)
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11-03-2026
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13-03-2026
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On Site
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Aachen
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DE
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RWTH Aachen University
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Eickmeyer, Michael
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Single Track
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Informatik
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Wirtschaftswissenschaften
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Wirtschaftsagentur Wien Ein Fonds der Stadt Wien
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TU Wien, Austria
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TU Wien, Austria
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E194-01 - Forschungsbereich Software Engineering
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E194-01 - Forschungsbereich Software Engineering
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E194 - Institut für Information Systems Engineering
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E194 - Institut für Information Systems Engineering