Making sense of algorithms in discrete mathematics

(2022) Making sense of algorithms in discrete mathematics. International Journal of Science and Mathematics Education, 20(5), pp. 1057-1077.

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Description

Network analysis is a topic in secondary mathematics education of growing importance because it offers students an opportunity to understand how to model and solve many authentic technology and engineering problems. However, very little is known about how students make sense of the algorithms typically used in network analysis. In this study, I used the Hungarian algorithm to explore how students make sense of a network algorithm and how it can be used to solve assignment problems. I report the results of a design-based research project in which eight Year 12 students participated in a teaching experiment that spanned four 60-min lessons. A hypothetical learning trajectory was developed in which students were introduced to the steps of the Hungarian algorithm incrementally. The results suggest that students made sense of the intermediate steps of the algorithm, the results of those steps, and how the algorithm works to solve assignment problems. The difficulties that students encountered are also discussed.

Impact and interest:

1 citations in Scopus
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ID Code: 210827
Item Type: Contribution to Journal (Journal Article)
Refereed: Yes
ORCID iD:
Lehmann, Timothy H.orcid.org/0000-0003-0290-812X
Measurements or Duration: 21 pages
Keywords: discrete mathematics, algorithms, Hungarian algorithm, sense making
DOI: 10.1007/s10763-021-10180-3
ISSN: 1571-0068
Pure ID: 85363742
Divisions: Current > QUT Faculties and Divisions > Faculty of Creative Industries, Education & Social Justice
Current > Schools > School of Teacher Education & Leadership
Copyright Owner: Ministry of Science and Technology, Taiwan 2021
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Deposited On: 01 Jun 2021 05:48
Last Modified: 22 Apr 2024 15:56