A Game for Learning How to Model in Graph Theory

Alicia Cordero, Cristina Jordan, Marina Murillo-Arcila and Esther Sanabria-Codesal
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Alicia Cordero: Institute for Multidisciplinary Mathematics, Universitat Politècnica de València, 46022 València, Spain
Cristina Jordan: Institute for Multidisciplinary Mathematics, Universitat Politècnica de València, 46022 València, Spain
Marina Murillo-Arcila: Instituto Universitario de Matemática Pura y Aplicada, Universitat Politècnica de València, 46022 València, Spain
Esther Sanabria-Codesal: Departamento de Matemática Aplicada, Universitat Politècnica de València, 46022 València, Spain

Mathematics, 2022, vol. 10, issue 12, 1-13

Abstract: In this article, we show how to introduce students to modeling while exposing the power of graph theory as a modeling tool. For that purpose, we propose a problem aimed at university students based on a game where the objective is to strengthen the learning of reachability and the shortest path algorithms.

Keywords: modeling; weighted graphs; shortest path algorithms; Dijkstra; Bellman–Ford (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2022
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