Tensions Between Mathematics and Science Disciplines: Creative Opportunities to Enrich Teaching Mathematics and Science

An application in mathematics is any context, within science or broader, which involves or requires some kind of quantitative thinking. For instance, arguments involving risk, chance, or uncertainty use probabilistic concepts. Every time we interpolate or extrapolate from a given set of data we employ functional relationships. In discussing dynamics of drug absorption, we use exponential or more complex mathematical models. Describing viruses infecting bacteria or studying interactions between species in an ecosystem requires that we use mathematics tools. In this paper I study certain teaching and learning situations, named tensions, which arise when the students, practitioners, or instructors engage with applications in mathematics that require modifications to our cognitive models. Tensions can be identified in the ways we formulate the problem of our inquiry, in defining the objects we study, in the implicit and explicit assumptions we make, in the interpretations of results of experiments and mathematical calculations, in visual interpretations, and in other situations. Using specific examples, I illustrate that these tensions could be viewed as living in a specific zone of proximal development. This concept provides a framework within which we contrast what a single discipline can achieve, compared to fresh new visions and insights generated when the diverse views of mathematics and other science disciplines are brought together.

[1]  Julie Gainsburg,et al.  Real-world connections in secondary mathematics teaching , 2008 .

[2]  A. Bakker,et al.  Boundary Crossing and Boundary Objects , 2011 .

[3]  Olive Chapman,et al.  Classroom Practices for Context of Mathematics Word Problems , 2006 .

[4]  Michael Pignone,et al.  Numeracy and the medical student's ability to interpret data. , 2002, Effective clinical practice : ECP.

[5]  Gloria Stillman Applications and Modelling Research in Secondary Classrooms: What Have We Learnt? , 2015 .

[6]  P. Galbraith,et al.  27 – Assumptions and Context: Pursuing their Role in Modelling Activity , 2001 .

[7]  M. Baum,et al.  Is clinical breast examination an acceptable alternative to mammographic screening? , 2000, British medical journal.

[8]  JeongSuk Pang,et al.  A Review of the Integration of Science and Mathematics: Implications for Further Research , 2000 .

[9]  Werner Blum,et al.  Applied mathematical problem solving, modelling, applications, and links to other subjects — State, trends and issues in mathematics instruction , 1991 .

[10]  Peter Galbraith From Conference to Community: An ICTMA Journey— The Ken Houston Inaugural Lecture , 2013 .

[11]  Kelly E. Matthews,et al.  Putting it into perspective: mathematics in the undergraduate science curriculum , 2009 .

[12]  David M. Davison,et al.  What Does Integration of Science and Mathematics Really Mean , 1995 .

[13]  J. Wakefield,et al.  All We Have to Fear: Psychiatry's Transformation of Natural Anxieties into Mental Disorders , 2012 .

[14]  S. Fletcher,et al.  Clinical breast examination. , 1986, Hospital practice.

[15]  G. Gigerenzer Reckoning with Risk : Learning to Live with Uncertainty , 2002 .

[16]  D. Berlin,et al.  Integrating Science and Mathematics Education: Historical Analysis , 2005 .

[17]  Jill Brown,et al.  Teaching mathematical modelling : connecting to research and practice , 2013 .