Complex Dynamic Systems View on Conceptual Change: How a Picture of Students' Intuitive Conceptions Accrue from Dynamically Robust Task Dependent Learning Outcomes.

I. Koponen, Tommi Kokkonen, Maiji Nousiainen
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引用次数: 1

Abstract

We discuss here conceptual change and the formation of robust learning outcomes from the viewpoint of complex dynamic systems (CDS). The CDS view considers students’ conceptions as context dependent and multifaceted structures which depend on the context of their application. In the CDS view the conceptual patterns (i.e. intuitive conceptions here) may be robust in a certain situation but are not formed, at least not as robust ones, in another situation. The stability is then thought to arise dynamically in a variety of ways and not so much to mirror rigid ontological categories or static intuitive conceptions. We use computational modelling to understand the generic dynamic and emergent features of that phenomenon. The model is highly simplified and idealized, but it shows how context dependence, described here by an epistemic landscape structure, leads to the formation of context dependent robust states that can be viewed as attractors in learning, and how owing to the sharply defined nature of these states, learning appears as a progression of switches from one state to another, giving thus the appearance of conceptual change as switches from one robust state to another. Finally, we discuss the implications of the results in directing attention to the design of learning tasks and their structure, and how empirically accessible learning outcomes might be related to these underlying factors.
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概念变化的复杂动态系统观点:学生的直觉概念如何从动态稳健的任务依赖学习结果中产生。
本文从复杂动态系统(CDS)的角度讨论了概念的变化和鲁棒学习成果的形成。CDS观点认为学生的概念是依赖于语境的、多方面的结构,这取决于他们应用的语境。在CDS的观点中,概念模式(即这里的直觉概念)在某种情况下可能是稳健的,但在另一种情况下则不会形成,至少不会形成同样稳健的模式。然后,稳定性被认为以各种方式动态地出现,而不是反映严格的本体论范畴或静态的直觉概念。我们使用计算模型来理解这种现象的一般动态和紧急特征。该模型是高度简化和理想化的,但它显示了上下文依赖(这里由认知景观结构描述)如何导致上下文依赖的鲁棒状态的形成,这些状态可以被视为学习中的吸引子,以及由于这些状态的明确定义的性质,学习如何表现为从一种状态切换到另一种状态的过程,从而呈现出从一种鲁棒状态切换到另一种状态的概念变化。最后,我们讨论了这些结果在引导人们关注学习任务的设计及其结构方面的意义,以及经验上可获得的学习结果如何与这些潜在因素相关。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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