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arXiv 1901.03351physics.ed-ph
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物理定量素养推理量表的编制

Developing a reasoning inventory for measuring physics quantitative literacy

Trevor I. Smith, Suzanne W. Brahmia, Alexis Olsho, Andrew Boudreaux, Philip Eaton, Paul J. Kelly, Kyle J. Louis, Mitchell A. Nussenbaum, Louis J. Remy

摘要:

为了提高公民在工作场所、政治和其他定量推理发挥重要作用的领域的参与质量,定量素养(QL)已成为数学教育中相当多的研究和开发工作的重点。QL的特点是用初等数学进行复杂的推理。在这个项目中,我们扩展了QL的概念,包括物理领域,并称之为物理定量素养(PQL)。我们报告的早期阶段的发展,从合作,重点是推理库存设计和数据分析方法来衡量整个介绍物理序列的PQL的发展。我们已经试行了一个原型评估,旨在衡量学生的PQL在介绍物理:物理量表的定量素养(PIQL)。这个原型PIQL集中在PQL的两个组成部分:比例推理和负量推理。我们目前的初步结果,从大约1,000名本科生和20名研究生。

英文摘要:

In an effort to improve the quality of citizen engagement in workplace, politics, and other domains in which quantitative reasoning plays an important role, Quantitative Literacy (QL) has become the focus of considerable research and development efforts in mathematics education. QL is characterized by sophisticated reasoning with elementary mathematics. In this project, we extend the notions of QL to include the physics domain and call it Physics Quantitative Literacy (PQL). We report on early stage development from a collaboration that focuses on reasoning inventory design and data analysis methodology for measuring the development of PQL across the introductory physics sequence. We have piloted a prototype assessment designed to measure students' PQL in introductory physics: Physics Inventory of Quantitative Literacy (PIQL). This prototype PIQL focuses on two components of PQL: proportional reasoning, and reasoning with negative quantities. We present preliminary results from approximately 1,000 undergraduate and 20 graduate students.

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