Developing representational competence: linking real-world motion to physics concepts through graphs

Developing representational competence: linking real-world motion to physics concepts through graphs
复制标题

发展表征能力:通过图表将现实世界的运动与物理概念联系起来

DOI:
--
复制
发表时间:
2020
期刊:
影响因子:
--
通讯作者:
C. Linder
C. Linder
中科院分区:
--
文献类型:
--
作者:
T. Volkwyn;J. Airey;B. Gregorcic;C. Linder

文献摘要

被引文献

相似文献

摘要社会符号学的透镜被用来描述物理学等学科的表征能力,为科学教师提供关于如何组织学生学习以发展表征能力的实用建议。我们认为,表征能力的某些领域的科学可以在适当的解释和产生一套学科的现实世界的现象科学的表示,并将这些科学概念。这是因为许多科学领域都是基于对现实世界的观察做出科学解释。然后,我们将展示如何将这种特性可以通过执行一个社会符号审计,它需要成为一个特定的符号系统(图)的一个特定领域的物理(1-D运动学)的代表能力。使用这种审计,我们产生三个开放式的任务,希望帮助学生发展在这方面的代表能力,并实证证明其潜在的有效性。在这个例子的基础上,我们建议,我们的描述如何纪律社会符号审计可能被用来构建开放式的学生学习任务可能提供了一种方式,教师思考发展的代表能力,在其他符号系统和其他领域的科学。
ABSTRACT A social semiotic lens is used to characterise aspects of representational competence for a discipline such as physics, to provide science teachers with a practical suggestion about how student learning might be organised to develop representational competence. We suggest that representational competence for some areas of science can be characterised in terms of the ability to appropriately interpret and produce a set of disciplinary-scientific representations of real-world phenomena, and link these to scientific concepts. This is because many areas of science are based on creating scientific explanations of real-world observations. We then show how this characterisation may be applied by performing a social semiotic audit of what it entails to become representationally competent in one particular semiotic system (graphs) for one particular area of physics (1-D kinematics). Using this audit, we generate three open-ended tasks expected to help students develop representational competence in this area and empirically demonstrate their potential effectiveness. Building on this example, we suggest that our description of how a disciplinary social semiotic audit may be used to construct open-ended student learning tasks potentially provides one way for teachers to think about the development of representational competence in other semiotic systems and other areas of science.