03396nam a22005055i 4500001001800000003000900018005001700027007001500044008004100059020001800100024003500118050001500153072001600168072001500184072002300199072001500222072001400237245015600251250001800407264006900425300006600494336002600560337002600586338003600612347002400648490009800672505022800770520113600998650003902134650002702173650002802200650002702228650003602255650005002291700008202341700007602423700007902499710003402578773002602612776003602638776003602674776003602710830009802746856004602844978-3-031-53322-8DE-He21320251030112255.0cr nn 008mamaa240603s2024    sz |    s    |||| 0|eng d  a97830315332287 a10.1007/978-3-031-53322-82doi 4aQA10.92-20 7aJNU2bicssc 7aPB2bicssc 7aEDU0290102bisacsh 7aJNU2thema 7aPB2thema10aResearching Mathematical Modelling Education in Disruptive Timesh[electronic resource] /cedited by Hans-Stefan Siller, Vince Geiger, Gabriele Kaiser.  a1st ed. 2024. 1aCham :bSpringer Nature Switzerland :bImprint: Springer,c2024.  aXII, 675 p. 128 illus., 68 illus. in color.bonline resource.  atextbtxt2rdacontent  acomputerbc2rdamedia  aonline resourcebcr2rdacarrier  atext filebPDF2rda1 aInternational Perspectives on the Teaching and Learning of Mathematical Modelling,x2211-49390 a1. Introduction -- 2. Keynotes -- 3. Theoretical approaches to mathematical modelling -- 4. Teaching mathematical modelling -- 5. Learning mathematical modelling -- 6. Interdisciplinary approaches to mathematical modelling.  aThis 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. 0aMathematicsxStudy and teaching . 0aTeachersxTraining of. 0aEducational technology.14aMathematics Education.24aTeaching and Teacher Education.24aDigital Education and Educational Technology.1 aSiller, Hans-Stefan.eeditor.4edt4http://id.loc.gov/vocabulary/relators/edt1 aGeiger, Vince.eeditor.4edt4http://id.loc.gov/vocabulary/relators/edt1 aKaiser, Gabriele.eeditor.4edt4http://id.loc.gov/vocabulary/relators/edt2 aSpringerLink (Online service)0 tSpringer Nature eBook08iPrinted edition:z978303153321108iPrinted edition:z978303153323508iPrinted edition:z9783031533242 0aInternational Perspectives on the Teaching and Learning of Mathematical Modelling,x2211-493940uhttps://doi.org/10.1007/978-3-031-53322-8