Quantitative Measures of Mathematical Knowledge
Zusammenfassung
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Quantitative Measures of Mathematical Knowledge by Jonathan Bostic
The aim of this book is to explore measures of mathematics knowledge, spanning K-16 grade levels. By focusing solely on mathematics content, such as knowledge of mathematical practices, knowledge of ratio and proportions, and knowledge of abstract algebra, this volume offers detailed discussions of specific instruments and tools meant for measuring student learning. Written for assessment scholars and students both in mathematics education and across educational contexts, this book presents innovative research and perspectives on quantitative measures, including their associated purpose statements and validity arguments."The authors of these ten chapters, all experts in mathematics education research, provide a broad yet unified message: increased validity and credibility are achievable via more “robust and rigorous measures in mathematics education” Each chapter includes extensive references. This book’s audience includes mathematics education researchers, assessment specialists, and interested mathematics education students."
-J. Johnson, emeritus, Western Washington University, CHOICE
Jonathan Bostic is an associate professor of mathematics education at Bowling Green State University, USA.
Erin Krupa is an assistant professor of mathematics education at North Carolina State University, USA.
Jeffrey Shih is an associate professor of mathematics education at the University of Nevada, Las Vegas, USA.
| SKU | Nicht verfügbar |
| ISBN 13 | 9780367670757 |
| ISBN 10 | 0367670755 |
| Titel | Quantitative Measures of Mathematical Knowledge |
| Autor | Jonathan Bostic |
| Serie | Routledge Research In Education |
| Buchzustand | Nicht verfügbar |
| Bindungsart | Paperback |
| Verlag | Routledge |
| Erscheinungsjahr | 2020-12-18 |
| Seitenanzahl | 254 |
| Hinweis auf dem Einband | Die Abbildung des Buches dient nur Illustrationszwecken, die tatsächliche Bindung, das Cover und die Auflage können sich davon unterscheiden. |
| Hinweis | Nicht verfügbar |