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Causality in Complex Dynamic Systems: A Challenge in Earth Systems Science Education

机译:复杂动力系统中的因果关系:地球系统科学教育中的挑战

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摘要

The understanding of the mechanisms underlying processes such as self-organization, adaptation, emergence, which are characteristics of complex systems, is of paramount importance when teaching and learning science. Preliminary research on student understanding of complexity indicates that students tend to conceptualize dynamic systems in static disjointed terms, utilizing a linear-mono-causal approach which impedes a conceptual understanding of complex causal relations. Hypothesizing that student understanding of the principles of causality plays a fundamental role in the understanding of complexity, undergraduate science majors have been interviewed to explore their approaches to complex natural phenomena and document changes that occur in reasoning when a modified Aristotelian framework of causality principles is introduced. Results indicate that the understanding of emergence, downward causation, and self-organization are better conceptualized when students utilize the modified Aristotelian framework of causality principles. [PUBLICATION ABSTRACT]
机译:在科学教学中,对诸如复杂系统的特征即自组织,适应,出现的过程所基于的机制的理解至关重要。对学生对复杂性的理解的初步研究表明,学生倾向于使用线性单因果方法来以静态分离的术语来概念化动态系统,这阻碍了对复杂因果关系的概念性理解。假设学生对因果关系原理的理解在理解复杂性方面起着基本作用,因此,假设访问科学专业的本科生探索其解决复杂自然现象的方法,并记录当引入改进的亚里士多德因果关系原理框架时推理中发生的变化。结果表明,当学生利用经过修改的因果关系原理的亚里士多德框架时,对出现,向下因果关系和自组织的理解会得到更好的概念化。 [出版物摘要]

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  • 来源
    《Journal of Geoscience Education》 |2008年第1期|p.81-94|共14页
  • 作者

    Federica Raia;

  • 作者单位

    Federica RaiaDepartments of Earth and Atmospheric Sciences, and Secondary Education,Room MR106, City College of New York, 138th and Convent Avenue, New York,NY 10031, raia@sci.ccny.cuny.edu;

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  • 正文语种 eng
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