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Complexity in Mathematics Education

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Encyclopedia of Mathematics Education

Definition/Introduction

Over the past half-century, “complex systems” perspectives have risen to prominence across many academic domains in the sciences, engineering, and the humanities. Mathematics was among the originating domains of complexity research. Education has been a relative latecomer, and so perhaps not surprisingly, mathematics education researchers have been leading the way in the field.

There is no unified definition of complexity, principally because formulations emerge from the study of specific phenomena. One thus finds quite focused definitions in such fields as mathematics and software engineering, more indistinct meanings in chemistry and biology, and quite flexible interpretations in the social sciences (cf. Mitchell 2009). Because mathematics education reaches across several domains, conceptions of complexity within the field vary from the precise to the vague, depending on how and where the notion is taken up. Diverse interpretations do collect around a few key...

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References

  • Bell ET (1937) Men of mathematics: the lives and achievements of the great mathematicians from Zeno to Poincaré. Simon and Schuster, New York

    Google Scholar 

  • Colella V (2000) Participatory simulations: building collaborative understanding through immersive dynamic modeling. J Learn Sci 9(4):471–500

    Article  Google Scholar 

  • Davis B, Renert M (2013) The math teachers know: profound understanding of emergent mathematics. Routledge, New York

    Book  Google Scholar 

  • Davis B, Simmt E (2006) Mathematics-for-teaching: an ongoing investigation of the mathematics that teachers (need to) know. Educ Stud Math 61(3):293–319

    Article  Google Scholar 

  • Dickes AC, Sengupta P, Farris AV, Basu S (2016) Development of mechanistic reasoning and multilevel explanations of ecology in third grade using agent-based models. Sci Educ 100(4):734–776

    Article  Google Scholar 

  • English L (2006) Mathematical modeling in the primary school: children’s construction of a consumer guide. Educ Stud Math 62(3):303–329

    Article  Google Scholar 

  • Gilbert N, Troitzsch K (2005) Simulation for the social scientist. McGraw-Hill Education, New York

    Google Scholar 

  • Lesh R, Doerr H (eds) (2003) Beyond constructivism: models and modelling perspectives on mathematics problem solving learning and teaching. Lawrence Erlbaum Associates, Mahwah

    Google Scholar 

  • Leyva LA (2017) Unpacking the male superiority myth and masculinization of mathematics at the intersections: a review of research on gender in mathematics education. J Res Math Educ 48(4):397–433

    Article  Google Scholar 

  • MacLeod M, Nersessian NJ (2016) Interdisciplinary problem-solving: emerging modes in integrative systems biology. Eur J Philos Sci 6(3):401–418

    Article  Google Scholar 

  • Mitchell M (2009) Complexity: a guided tour. Oxford University Press, Oxford, UK

    Google Scholar 

  • Mowat E, Davis B (2010) Interpreting embodied mathematics using network theory: implications for mathematics education. Complicity 7(1):1–31

    Article  Google Scholar 

  • Papert S (1980) Mindstorms: children, computers, and powerful ideas. Basic Books, New York

    Google Scholar 

  • Sengupta P, Kinnebrew JS, Basu S, Biswas G, Clark D (2013) Integrating computational thinking with K–12 science education using agent-based computation: a theoretical framework. Educ Inf Technol 18(2):351–380

    Article  Google Scholar 

  • Sengupta P, Dickes A, Farris AV, Karan A, Martin D, Wright M (2015) Programming in K–12 science classrooms. Commun ACM 58(11):33–35

    Article  Google Scholar 

  • Wilkerson-Jerde MH, Wilensky UJ (2015) Patterns, probabilities, and people: making sense of quantitative change in complex systems. J Learn Sci 24(2):204–251

    Article  Google Scholar 

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Correspondence to Brent Davis .

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Davis, B., Sengupta, P. (2020). Complexity in Mathematics Education. In: Lerman, S. (eds) Encyclopedia of Mathematics Education. Springer, Cham. https://doi.org/10.1007/978-3-030-15789-0_28

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