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Finding the Right Balance: Facilitating the Exploration of Sorting Strategies using 3D-Printable Weights and Scales

Vielsack, Annika ORCID iD icon 1; Landman, Martina
1 Fakultät für Informatik (INFORMATIK), Karlsruher Institut für Technologie (KIT)

Abstract:

Sorting algorithms are a corner stone of algorithmic education. The computational problem of sorting objects is simple and accessible, with a wide variety of algorithms with different approaches and characteristics available. Introducing sorting algorithms in an explorative manner, however, faces a major challenge: students tend to sort objects intuitively and holistically, bypassing the step of comparing two objects. This renders algorithmic differences and advantages moot. In order to address this, we expand on an idea from the CS Unplugged programme and present a set of weights and balances we developed for hands-on exploration. The entire set is easily 3D-printable, making it scalable and thus possible to provide enough material for entire classes with no additional supplies needed.


Verlagsausgabe §
DOI: 10.5445/IR/1000192480
Veröffentlicht am 23.04.2026
Cover der Publikation
Zugehörige Institution(en) am KIT Fakultät für Informatik (INFORMATIK)
Publikationstyp Proceedingsbeitrag
Publikationsdatum 09.02.2026
Sprache Englisch
Identifikator ISBN: 979-8-4007-2352-0
KITopen-ID: 1000192480
Erschienen in Proceedings of the 28th Australasian Computing Education Conference
Veranstaltung 28th Australasian Computing Education Conference (2026), Melbourne, Australien, 09.02.2026 – 13.02.2026
Verlag Association for Computing Machinery (ACM)
Seiten 194 - 198
Externe Relationen Siehe auch
Schlagwörter Computer Science Education, Sorting Algorithms, Algorithmic Thinking, Computational Thinking
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