Tsioptsias et al _SW_repository.pdf (225.5 kB)
Can we learn from wrong simulation models? A preliminary experimental study on user learning
conference contribution
posted on 2018-02-05, 15:12 authored by Naoum Tsioptsias, Antuela Tako, Stewart RobinsonA number of authors believe that wrong models can be useful, providing learning opportunities for their users. This paper details an experiment on model complexity, investigating differences in learning after using a simplified versus an adequate version of the same model. Undergraduate students were asked to solve a resource utilization task for an ambulance service. The treatment variables were defined as the model types used (complex, simple, and no model). Two questionnaires (before and after the process) and a presentation captured participants' attitudes towards the solution. Results suggest differences in learning were not significant, while simple model users demonstrated a better understanding of the problem. This paper consists of a preliminary behavioural operational research study that contributes towards identifying the value of wrong simulation models from the perspective of model users.
History
School
- Business and Economics
Department
- Business
Published in
Proceedings of the Operational Research Society Simulation Workshop 2018 (SW18)Citation
TSIOPTSIAS, N., TAKO, A.A. and ROBINSON, S., 2018. Can we learn from wrong simulation models? A preliminary experimental study on user learning. IN: Anagnostou, A., Meskarian, R. and Robertson, D. (eds.) Proceedings of the Operational Research Society Simulation Workshop 2018 (SW18), Stratford, Worcestershire, UK, 19-21st March, pp.219-229.Publisher
© The Operational Research SocietyVersion
- AM (Accepted Manuscript)
Publisher statement
This work is made available according to the conditions of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) licence. Full details of this licence are available at: https://creativecommons.org/licenses/by-nc-nd/4.0/Acceptance date
2018-01-15Publication date
2018Notes
This is a conference paper.Publisher version
Language
- en