Researching Mathematical Modelling Education in Disruptive Times by Hans-Stefan Siller, Vince Geiger & Gabriele Kaiser

Researching Mathematical Modelling Education in Disruptive Times

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  • Genre Education
  • Publisher Springer Nature
  • Released
  • Size 33.54 MB
  • Length 647 Pages

Description

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.

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