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How people learn while playing serious games: A computational modelling approach

机译:人们在玩严肃游戏时如何学习:一种计算建模方法

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This paper proposes a computational modelling approach for investigating the interplay of learning and playing in serious games. A formal model is introduced that allows for studying the details of playing a serious game under diverse conditions. The dynamics of player action and motivation is based on cognitive flow theory, which is expressed in quantitative terms for this purpose. Seven extensive simulation studies involving over 100,000 iterations have demonstrated the stability of the model and its potential as a research instrument for serious gaming. The model allows researchers to deeply investigate quantitative dependences between relevant game variables, gain deeper understanding of how people learn from games, and develop approaches to improving serious game design. (C) 2016 Elsevier B.V. All rights reserved.
机译:本文提出了一种计算建模方法,用于研究严肃游戏中学习与游戏的相互作用。引入了一个正式模型,该模型可以研究在不同条件下玩严肃游戏的细节。玩家动作和动机的动力学是基于认知流理论的,为此目的以量化的术语表示。七次广泛的仿真研究涉及100,000多次迭代,证明了该模型的稳定性及其作为严肃游戏研究工具的潜力。该模型使研究人员能够深入研究相关游戏变量之间的数量依赖性,更深入地了解人们从游戏中学习的方式,并开发出改进严肃游戏设计的方法。 (C)2016 Elsevier B.V.保留所有权利。

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