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Can we learn from simplified simulation models? An experimental study on user learning
Journal of Simulation ( IF 2.5 ) Pub Date : 2020-01-09 , DOI: 10.1080/17477778.2019.1704636
Antuela A. Tako 1 , Naoum Tsioptsias 1 , Stewart Robinson 1
Affiliation  

Simple models are considered useful for decision making, especially when decisions are made by a group of stakeholders. This paper describes an experimental study that investigates whether the level of model detail affects users’ learning. Our subjects, undergraduate students, were asked to solve a resource utilisation task for an ambulance service problem. They worked in groups under three different conditions, based on the type of simulation model used (specifically a simple, adequate or no model at all), to analyse the problem and reach conclusions. A before and after questionnaire and a group presentation capture the participants’ individual and group attitudes towards the solution. Our results suggest that differences in learning from using the two different models were not significant, while simple model users demonstrated a better understanding of the problem. The outcomes and implications of our findings are discussed, alongside the limitations and future work.



中文翻译:

我们可以从简化的仿真模型中学习吗?用户学习的实验研究

简单的模型被认为对决策很有用,尤其是在由一组利益相关者做出决策时。本文描述了一项实验研究,该研究调查了模型详细程度是否会影响用户的学习。我们的本科生被要求解决救护车服务问题中的资源利用任务。他们根据所使用的仿真模型的类型(特别是简单,适当或根本没有模型),在三种不同条件下分组研究,以分析问题并得出结论。之前和之后的问卷调查和小组陈述记录了参与者对解决方案的个人和小组态度。我们的结果表明,使用两种不同模型进行学习的差异并不明显,而简单模型用户则表现出对问题的更好理解。讨论了我们的发现的结果和含义,以及局限性和未来的工作。

更新日期:2020-01-09
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