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Two different methods to analyze the strategies of problem solving in a natural situation using a simulator: A case study

机译:使用模拟器分析在自然情境中解决问题的策略的两种不同的方法:案例研究

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The PLASTUR project attempted to address a cognitive diagnosis problematic i.e. to understand the problem solving strategies used by operators on a simulator. Carried out by a multidisciplinary team, this research, in its fundamental aspect, aims to confront analyses made almost exclusively from real situations in an ecological context with data obtained by a model in an artificial context. As regards the cognitive modelling of problem solving in natural situations, PLASTUR uses models from different fields of research (cognitive psychology, Artificial Intelligence) applied to the same set of data. This comparison between the two models highlights the specificities and the complementarities of the two approaches. From a more applied point of view, the objective is to define, with our industrial partner, an Interactive Learning Environment based on the simulator and integrating an intelligible diagnosis module used both by tutors and learners.
机译:Plastur项目试图解决认知诊断问题,即了解运营商在模拟器上使用的问题解决策略。通过多学科团队进行,这项研究在其基本方面,旨在面对几乎完全从生态背景中的实际情况进行的分析,其中通过人工背景中的模型获得的数据。关于在自然情境中解决问题的认知建模,Plastur使用不同的研究领域(认知心理学,人工智能)的模型应用于相同的数据集。这两种模型之间的这种比较突出了两种方法的特异性和互补性。从更应用的角度来看,目的是与我们的工业合作伙伴,基于模拟器的交互式学习环境定义,并集成由导师和学习者使用的可理解诊断模块。

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