Researching Mathematical Modelling Education in Disruptive Times - Rilegato

Rilegato

ISBN 10: 3031533216 ISBN 13: 9783031533211

Casa editrice: Springer Nature, 2024

Riassunto

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.

Su questo libro

Informazioni sull?autore

Prof. Hans-Stefan Siller is a Full Professor for didactics of mathematics at the Universität Würzburg, Germany. He researches topics within the field of mathematical modelling, especially in interdisciplinary teaching and learning settings. His work within mathematical modelling education includes topics related to sustainable development, as well as STEM teaching and learning.  He adopts both quantitative and qualitative research methods when investigating effective practices in mathematical modelling within school settings.

Prof. Vince Geiger is a Full Professor and Director of the STEM in Education Research Program in the Institute of Learning Science and Teacher Education at Australian Catholic University, Australia. His work is focused on the enabling role of mathematics within the STEM disciplines — driven by an awareness that knowing and using mathematics confidently is key for career prospects and the empowerment of an informed citizenry. He is Editor-in-Chief of Mathematics Education Research Journal. Prof. Geiger is current President of the International Community of Teachers of Mathematical Modelling and Applications (ICTMA). 

Prof. Gabriele Kaiser is Full Professor of mathematics education at the Faculty of Education, University of Hamburg, Germany. Her research includes mathematical modelling education, teacher education and teacher professional development. Prof. Kaiser is Editor-in-Chief of ZDM – Mathematics Education. She was convenor of the 13th International Congress on Mathematics Education (ICME-13) in 2016 at the University of Hamburg.  Prof Kaiser is Past-President of the International Community of Teachers of Mathematical Modelling and Applications (ICTMA).

Dalla quarta di copertina

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.

Dettagli dell?edizione

• Editore: Springer Nature
• Data di pubblicazione: 2024
• Lingua: Inglese
• ISBN 10: 3031533216
• ISBN 13: 9783031533211
• Rilegatura: Copertina rigida
• Numero di pagine: 688
• Redattore: Geiger Vince, Kaiser Gabriele, Siller Hans-Stefan
• Contatto del produttore: non disponibile
• Persona responsabile: CMN Printpool Inh. Mathis Neumann; https://www.also.com/ec/cms5/en_6000/6000/index.jsp; ; Friedrich-Karl-Str. 9; Hamburg; Germania