Quantitative Reasoning in Mathematics and Science Education
Samenvatting
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.
Specificaties
Inhoudsopgave
<p>Patrick Thompson, Arizona State University, AZ, USA</p><p><br></p>
<p>1 Forming abstracted quantitative structures</p>
<p>Kevin Moore, University of Georgia, GA, USA</p><p><br></p>
<p>2 Different forms of covariation</p>
<p>Heather Johnson, University of Colorado, CO, USA</p><p><br></p>
<p>3 Multiplication and Division in curriculum through QR</p>
<p>Tad Watanabe – Kennesaw State University, GA, USA </p>
<p>Gülseren Karagöz Akar – Boğaziçi University, İstanbul, Turkey </p>
<p>Nurdan Turan - Boğaziçi University, İstanbul, Turkey</p><p><br></p>
<p>4 Relation between multiplicative/additive reasoning and QR in the context of whole and rational numbers</p>
<p>Terezinha Nunes, University of Oxford, Oxford, UK<br></p>
<p>Peter Bryant, University of Oxford, Oxford, UK</p><p><br></p>
5 Linear & Non-linear relations through covariation<p>Teo Paoletti, Montclair State University, NJ, USA</p><p><br></p>
<p>6 Linear, quadratic, exponential functions through QR</p>
<p>Amy Ellis, University of Georgia, GA, USA </p>
<p>Zekiye Özgür, Dokuz Eylül University, İzmir, Turkey</p>
<p>Mehmet Fatih Doğan, Adıyaman University, Adıyaman, Turkey </p><p><br></p>
7 Interpreting graphs of quadratic functions via QR<p>Aytug Özaltun Çelik, Pamukkale University, Denizli, Turkey </p>
Esra Bukova Güzel, Dokuz Eylül University, İzmir, Turkey<div><br><p></p>
<p>8 Logarithms and/or exponential growth </p>
<p>Marilyn Carlson – Arizona State University, AZ, USA<br></p>
<p><br></p><p>9 Geometric transformations through QR</p>
<p>Gülseren Karagöz Akar, Boğaziçi University, İstanbul, Turkey</p>
<p>İsmail Özgür Zembat, University of Glasgow, Glasgow, UK </p>
<p>Selahattin Arslan, Trabzon University, Trabzon, Turkey</p>
<p>Mervenur Belin, Boğaziçi University, İstanbul, Turkey</p>
<p><br></p><p>10 Mathematization of science through QR</p><p></p>
<p>Hui Jin – Educational Testing Service, Princeton, USA</p>
<p>Dante Cisterna, Educational Testing Service, Princeton, USA</p>
<p>Hyo Jeong Shin, Educational Testing Service, Princeton, USA</p>
<p><br></p><p>11 Physics Quantitative Literacy through QR</p>
<p>Suzanne White Brahmia, University of Washington, VA, USA</p>
<p>Alexis Olsho, University of Washington, VA, USA</p>
<p><br></p><p>12 Modelling climate change with QR</p>
<p>Dario Gonzales, Universidad de Chile, Chile</p>
<p> </p>
<p>13 Quantitative Reasoning in Undergraduate Biology</p>
<p>Robert Mayes</p>
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