Researching Mathematical Modelling Education in Disruptive Times. 1st ed. 2024.

Sonst. Personen	Siller, Hans-Stefan (Hrsg.); Geiger, Vince (Hrsg.); Kaiser, Gabriele (Hrsg.)
Titel	Researching Mathematical Modelling Education in Disruptive Times. 1st ed. 2024.
Quelle	Cham: Springer Nature Switzerland (2024), XII, 675 S. PDF als Volltext Link als defekt meldenVerfügbarkeit
Reihe	International Perspectives on the Teaching and Learning of Mathematical Modelling
Beigaben	Illustrationen 196
Sprache	englisch
Dokumenttyp	online; gedruckt; Monografie
ISBN	978-3-031-53322-8; 9783031533211; 9783031533235; 9783031533242
DOI	10.1007/978-3-031-53322-8
Schlagwörter	Lehrer; Lehrerin; Lehrerausbildung; Unterrichtsmedien; Unterrichtstechnologie; Mathematik; Mathematikunterricht; Mathematisches Modell
Abstract	This edited volume documents research on mathematical modelling education, before, during, and after the Covid 19 pandemic. Mathematical modelling is essential for understanding natural and human generated phenomena, and informs decision-making about events such as the pandemic, climate change, and other disruptive events. Communication to the public, often by the media, makes use of mathematical modelling to justify changes to public policy, as seen during the COVID-19 crisis. Consequently, mathematical modelling has assumed an increasingly prominent role in curricula internationally, providing opportunities to understand how it is used in current circumstances and to plan for the needs of future societies. This book focuses on research on mathematical modelling education and its implementation at school and tertiary level. Contributions to the book and point to directions for further innovation in mathematical modelling education. Authors of this volume are members of the International Community of Teachers of Mathematical Modelling, the peak research body for the teaching and learning of mathematical modelling. Inhalt: 1. Introduction -- 2. Keynotes -- 3. Theoretical approaches to mathematical modelling -- 4. Teaching mathematical modelling -- 5. Learning mathematical modelling -- 6. Interdisciplinary approaches to mathematical modelling.
Erfasst von	Universitätsbibliothek der Humboldt-Universität zu Berlin
Update	2025/1