A framework for supporting systems thinking and computational thinking through constructing models

A framework for supporting systems thinking and computational thinking through constructing models
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通过构建模型支持系统思维和计算思维的框架

DOI:
10.1007/s11251-022-09590-9
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发表时间:
2022
影响因子:
2.5
通讯作者:
Damelin, Daniel
Damelin, Daniel
中科院分区:
教育学3区
文献类型:
--
作者:
Shin, Namsoo;Bowers, Jonathan;Roderick, Steve;McIntyre, Cynthia;Stephens, A. Lynn;Eidin, Emil;Krajcik, Joseph;Damelin, Daniel

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我们面临着气候变化等复杂的全球问题,这些问题挑战着我们作为人类管理这些问题的能力。模型已被用作一种关键的科学和工程工具,用于调查、表示、解释和预测现象或解决涉及许多领域的多方面系统的问题。要充分解释复杂现象或使用模型解决问题,既需要系统思维(ST),也需要计算思维(CT)。本研究提出了一个理论框架,将建模作为整合科技与科技的一种方式。我们开发了一个框架来指导开发课程、学习工具、支持策略和评估的复杂过程,以便在建模的背景下让学习者参与ST和CT。该框架包括基于选定文献的ST和CT的基本方面,并说明了每个建模实践如何利用ST和CT的方面来支持解释现象和解决问题。我们使用计算模型来展示这些ST和CT方面是如何在建模中表现出来的。
We face complex global issues such as climate change that challenge our ability as humans to manage them. Models have been used as a pivotal science and engineering tool to investigate, represent, explain, and predict phenomena or solve problems that involve multi-faceted systems across many fields. To fully explain complex phenomena or solve problems using models requires both systems thinking (ST) and computational thinking (CT). This study proposes a theoretical framework that uses modeling as a way to integrate ST and CT. We developed a framework to guide the complex process of developing curriculum, learning tools, support strategies, and assessments for engaging learners in ST and CT in the context of modeling. The framework includes essential aspects of ST and CT based on selected literature, and illustrates how each modeling practice draws upon aspects of both ST and CT to support explaining phenomena and solving problems. We use computational models to show how these ST and CT aspects are manifested in modeling.
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