Teaching OR: automatic evaluation for linear programming modelling

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 stud...

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Veröffentlicht in:	4OR 2022-06, Vol.20 (2), p.333-345
Hauptverfasser:	Cambazard, Hadrien, Catusse, Nicolas, Brauner, Nadia, Lemaire, Pierre
Format:	Artikel
Sprache:	eng
Schlagworte:	Business and Management Colleges & universities Computer Science Educational Paper Industrial and Production Engineering Integer programming Language Learning Linear programming Natural language Natural language (computers) Operations Research Operations Research/Decision Theory Optimization Pedagogy Production planning Science education Strawberries Students Teachers Teaching
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Beschreibung
Zusammenfassung:	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.
ISSN:	1619-4500 1614-2411
DOI:	10.1007/s10288-021-00488-9