Record link: 
http://hdl.handle.net/20.500.12708/208723
-
Title: 
Large and Parallel Human Sorting Networks
en
Citation: 
Szeider, S. (2025). Large and Parallel Human Sorting Networks. In Creative Mathematical Sciences Communication : 7th International Conference, CMSC 2024, Trier, Germany, October 7–10, 2024, Proceedings (pp. 194–204). Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-73257-7_16
-
Publisher DOI: 
10.1007/978-3-031-73257-7_16
-
Publication Type: 
Inproceedings - Full-Paper Contribution
en
Language: 
English
-
Authors: 
Szeider, Stefan 
-
Organisational Unit: 
E192-01 - Forschungsbereich Algorithms and Complexity 
E056-13 - Fachbereich LogiCS 
E056-23 - Fachbereich Innovative Combinations and Applications of AI and ML (iCAIML) 
-
Published in: 
Creative Mathematical Sciences Communication 
-
ISBN: 
978-3-031-73256-0
-
Volume: 
15229
-
DOI of the book: 
10.1007/978-3-031-73257-7
-
Date (published): 
2025
-
Event name: 
7th International Conference Creative Mathematical Sciences Communication (CMSC 2024) 
en
Event date: 
7-Oct-2024 - 10-Oct-2024
-
Event place: 
Trier, Germany
-
Number of Pages: 
11
-
Publisher: 
Springer Nature Switzerland, Cham
-
Peer reviewed: 
Yes
-
Keywords: 
algorithmic education; Computational Thinking; CS Unplugged; Human sorting networks; large-scale computing activities; parallel sorting algorithms
en
Abstract: 
This paper presents two innovative extensions of the classic Human Sorting Network (HSN) activity from the CS Unplugged program. First, we describe the implementation of a large-scale HSN with 50 input nodes, realized with high school students in Vienna, Austria. We detail the logistical challenges and solutions for creating an HSN of this magnitude, including location selection, network layout, and participant coordination. Second, we report on using parallel 6-input HSNs, which introduce a competitive element and enhance engagement. This parallel setup allows for races between teams and can be adapted for various age groups and knowledge levels. Both extensions aim to increase the educational impact and enjoyment of the HSN activity. We provide comprehensive insights into our experiences, enabling other educators and researchers to replicate or further develop these HSN variants.
en
Research Areas: 
Logic and Computation: 100%
-
Science Branch: 
1020 - Informatik: 80%
1010 - Mathematik: 20%
-
Appears in Collections:
Conference Paper

Show full item record

Page view(s)

7
checked on Jan 14, 2025

Google ScholarTM

Check