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Building v/s Exploring Models: Comparing Learning of Evolutionary Processes through Agent-based Modeling.

机译:建立v / s探索模型:通过基于Agent的建模比较进化过程的学习。

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摘要

Two strands of work motivate the three studies in this dissertation. Evolutionary change can be viewed as a computational complex system in which a small set of rules operating at the individual level result in different population level outcomes under different conditions. Extensive research has documented students' difficulties with learning about evolutionary change (Rosengren et al., 2012), particularly in terms of levels slippage (Wilensky & Resnick, 1999). Second, though building and using computational models is becoming increasingly common in K-12 science education, we know little about how these two modalities compare. This dissertation adopts agent-based modeling as a representational system to compare these modalities in the conceptual context of micro-evolutionary processes. Drawing on interviews, Study 1 examines middle-school students' productive ways of reasoning about micro-evolutionary processes to find that the specific framing of traits plays a key role in whether slippage explanations are cued. Study 2, which was conducted in 2 schools with about 150 students, forms the crux of the dissertation. It compares learning processes and outcomes when students build their own models or explore a pre-built model. Analysis of Camtasia videos of student pairs reveals that builders' and explorers' ways of accessing rules, and sense-making of observed trends are of a different character. Builders notice rules through available blocks-based primitives, often bypassing their enactment while explorers attend to rules primarily through the enactment. Moreover, builders' sense-making of observed trends is more rule-driven while explorers' is more enactment-driven. Pre and posttests reveal that builders manifest a greater facility with accessing rules, providing explanations manifesting targeted assembly. Explorers use rules to construct explanations manifesting non-targeted assembly. Interviews reveal varying degrees of shifts away from slippage in both modalities, with students who built models not incorporating slippage explanations in responses. Study 3 compares these modalities with a control using traditional activities. Pre and posttests reveal that the two modalities manifested greater facility with accessing and assembling rules than the control. The dissertation offers implications for the design of learning environments for evolutionary change, design of the two modalities based on their strengths and weaknesses, and teacher training for the same.
机译:两篇论文激励了本文的三项研究。进化变化可以看作是一个复杂的计算系统,其中在个人层面上运行的一小组规则在不同条件下导致不同人口层面的结果。广泛的研究记录了学生在学习进化变化方面的困难(Rosengren等,2012),尤其是在水平滑移方面(Wilensky&Resnick,1999)。其次,尽管在K-12科学教育中建立和使用计算模型变得越来越普遍,但我们对这两种方式的比较了解甚少。本文在微观进化过程的概念背景下,采用基于主体的模型作为表示系统,比较了这些模态。研究1借助访谈,考察了中学生对微观进化过程进行推理的有效方式,以发现特质的特定构架在是否暗示滑移解释中起着关键作用。研究2在2所学校中进行,约有150名学生,构成了论文的重点。当学生建立自己的模型或探索预先建立的模型时,它会比较学习过程和结果。对学生对Camtasia视频的分析表明,建设者和探索者访问规则的方式以及对观察到的趋势的感知具有不同的特征。建设者通过可用的基于块的原语来注意规则,而浏览器通常主要通过制定来遵守规则,而通常会绕过制定。此外,建造者对观察到的趋势的感觉更多地是由规则驱动,而探险者的更多是法规驱动。测验前和测验表明,构建者可以通过访问规则体现出更大的便利性,并提供表明目标组装的解释。资源管理器使用规则来构造说明非目标程序集的解释。访谈显示,在两种方式下,偏离滑移的程度各有不同,建立模型的学生未在回答中纳入滑移解释。研究3将这些模式与使用传统活动的控件进行了比较。前测和后测表明,这两种方式在访问和组合规则方面表现出比控件更大的便利性。论文为进化变化的学习环境的设计,基于两种方法的优缺点的两种模式的设计以及对教师的培训提供了启示。

著录项

  • 作者

    Wagh, Aditi.;

  • 作者单位

    Northwestern University.;

  • 授予单位 Northwestern University.;
  • 学科 Educational technology.;Education.;Science education.
  • 学位 Ph.D.
  • 年度 2016
  • 页码 412 p.
  • 总页数 412
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

  • 入库时间 2022-08-17 11:40:01

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