EXPLORING THE EFFECTS OF STRUCTURAL TRANSPARENCY AND EXPLORATORY GUIDANCE IN SIMULATION-BASED LEARNING ENVIRONMENTS

Carlos Capelo, Ana Lorga
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Abstract

Simulation-based learning environments are used extensively to support learning on complex business systems. Nevertheless, there exist studies that identify problems and limitations due to cognitive processing difficulties. Particularly, previous research addressed some aspects of model transparency and instructional strategy and produced inconclusive results about their impact on learning effectiveness. This study investigates the learning effects of using transparent simulations (that is, showing users the internal structure of models), and exploratory guidance (that is, guiding learners so they are able to explore the simulation by themselves, supported by specific cognitive aids). We present a set of hypotheses about the influence of the degree of simulator transparency and the degree of exploratory guidance on participants’ model comprehension which is assessed in terms of mental model structure and behaviour similarities. A test based on a simulation experiment with a system dynamics model, representing a supply chain system, was performed. Participants are required to use the simulator to investigate on some issues related to the bullwhip effect and other supply chain coordination concepts. Participants provided with the more transparent strategy and offered the more exploratory guidance demonstrated better understanding of the structure and behaviour of the underlying model. However, our results suggest that while exploratory guidance is a beneficial method for both model structure and behaviour understanding, making solely the model transparent is more limited in its effect.
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探索结构透明度和探索性指导在基于模拟的学习环境中的作用
基于模拟的学习环境被广泛用于支持复杂业务系统的学习。然而,已有研究发现了认知加工困难带来的问题和局限性。特别是,以前的研究解决了模型透明度和教学策略的某些方面,并没有得出关于它们对学习效果影响的结论性结果。本研究考察了使用透明模拟(即向用户展示模型的内部结构)和探索性指导(即在特定的认知辅助工具的支持下引导学习者自己探索模拟)的学习效果。我们提出了一组关于模拟器透明度和探索性指导程度对参与者模型理解的影响的假设,这些模型是根据心理模型结构和行为相似性来评估的。以供应链系统动力学模型为例,在仿真实验的基础上进行了测试。参与者需要使用模拟器来研究与牛鞭效应和其他供应链协调概念相关的一些问题。参与者提供了更透明的策略,并提供了更具探索性的指导,表明对底层模型的结构和行为有了更好的理解。然而,我们的研究结果表明,虽然探索性指导对模型结构和行为理解都是一种有益的方法,但仅仅使模型透明在其效果上更为有限。
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