Teaching OR: automatic evaluation for linear programming modelling

Hadrien Cambazard (), Nicolas Catusse (), Nadia Brauner () and Pierre Lemaire ()
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Hadrien Cambazard: University of Grenoble Alpes
Nicolas Catusse: University of Grenoble Alpes
Nadia Brauner: University of Grenoble Alpes
Pierre Lemaire: University of Grenoble Alpes

4OR, 2022, vol. 20, issue 2, No 7, 333-345

Abstract: Abstract Learning how to model a problem described in natural language as a linear program requires students to practice using various and numerous exercises. Moreover, immediate feedback on the validity of their solutions helps a better and faster understanding. In this paper, we present an idea on how students and teachers can automatically evaluate linear programming models. We also describe how this idea was implemented on the learning platform caseine.org and is now used by hundreds of students from various universities.

Date: 2022
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DOI: 10.1007/s10288-021-00488-9

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