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The Contribution of Computer Science to Learning Computational Physics

机译:计算机科学对学习计算物理的贡献

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Computational science is a field that deals with the construction of computational models. It is characterized by its interdisciplinary nature. Computational science is now being taught in universities and recently even in high-schools. This paper describes research into the learning processes of tenth-grade (16-year-old) students studying a course in computational science. Following an initial finding that students achieved meaningful learning of physics, our primary goal was then to investigate the learning processes that led to this outcome. In particular, we wanted to characterize the contribution of computer science to the students' learning. We conducted a micro-level analysis of a pair of students engaged in solving a problem in computational physics. The analysis was conducted within the framework of Knowledge Integration proposed by Linn and Eylon [1,2].We describe the learning processes that the studentswent through with emphasis on the contribution of computer science to learning physics; this contribution was particularly apparent in developing criteria for evaluating acquired knowledge.
机译:计算科学是一种涉及构建计算模型的领域。它的特点是其跨学科性质。计算科学现在正在大学教授,最近在高中。本文介绍了在计算科学课程的十分之一(16岁)学生的学习过程中的研究。在初步发现学生取得了有意义的物理学学习之后,我们的主要目标是调查导致这一结果的学习过程。特别是,我们希望描述计算机科学对学生学习的贡献。我们对一对从事计算物理问题的一对学生进行了微观分析。该分析是在Linn和Eylon提出的知识集成框架内进行的[1,2]。我们描述了学习过程,以重视计算机科学对学习物理学的贡献;在开发评估获得知识的标准方面尤为明显。

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