Quantitative reasoning in mathematics and science education

著者

    • Akar, Gülseren Karagöz

書誌事項

Quantitative reasoning in mathematics and science education

Gülseren Karagöz Akar ... [et al.], editors

（Mathematics education in the digital era, v. 21）

Springer, c2022

  • : [hbk.]

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注記

Includes bibliographical references

内容説明・目次

内容説明

This book focuses on quantitative reasoning as an orienting framework to analyse learning, teaching and curriculum in mathematics and science education. Quantitative reasoning plays a vital role in learning concepts foundational to arithmetic, algebra, calculus, geometry, trigonometry and other ideas in STEM. The book draws upon the importance of quantitative reasoning and its crucial role in education. It particularly delves into quantitative reasoning related to the learning and teaching diverse mathematics and science concepts, conceptual analysis of mathematical and scientific ideas and analysis of school mathematics (K-16) curricula in different contexts. We believe that it can be considered as a reference book to be used by researchers, teacher educators, curriculum developers and pre- and in-service teachers.

目次

Introductory chapter Patrick Thompson, Arizona State University, AZ, USA 1 Forming abstracted quantitative structures Kevin Moore, University of Georgia, GA, USA 2 Different forms of covariation Heather Johnson, University of Colorado, CO, USA 3 Multiplication and Division in curriculum through QR Tad Watanabe - Kennesaw State University, GA, USA Gulseren Karagoez Akar - Bogazici University, Istanbul, Turkey Nurdan Turan - Bogazici University, Istanbul, Turkey 4 Relation between multiplicative/additive reasoning and QR in the context of whole and rational numbers Terezinha Nunes, University of Oxford, Oxford, UK Peter Bryant, University of Oxford, Oxford, UK 5 Linear & Non-linear relations through covariationTeo Paoletti, Montclair State University, NJ, USA 6 Linear, quadratic, exponential functions through QR Amy Ellis, University of Georgia, GA, USA Zekiye OEzgur, Dokuz Eylul University, Izmir, Turkey Mehmet Fatih Dogan, Adiyaman University, Adiyaman, Turkey 7 Interpreting graphs of quadratic functions via QRAytug OEzaltun Celik, Pamukkale University, Denizli, Turkey Esra Bukova Guzel, Dokuz Eylul University, Izmir, Turkey 8 Logarithms and/or exponential growth Marilyn Carlson - Arizona State University, AZ, USA 9 Geometric transformations through QR Gulseren Karagoez Akar, Bogazici University, Istanbul, Turkey Ismail OEzgur Zembat, University of Glasgow, Glasgow, UK Selahattin Arslan, Trabzon University, Trabzon, Turkey Mervenur Belin, Bogazici University, Istanbul, Turkey 10 Mathematization of science through QR Hui Jin - Educational Testing Service, Princeton, USA Dante Cisterna, Educational Testing Service, Princeton, USA Hyo Jeong Shin, Educational Testing Service, Princeton, USA 11 Physics Quantitative Literacy through QR Suzanne White Brahmia, University of Washington, VA, USA Alexis Olsho, University of Washington, VA, USA 12 Modelling climate change with QR Dario Gonzales, Universidad de Chile, Chile 13 Quantitative Reasoning in Undergraduate Biology Robert Mayes

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