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Informal Inferential Reasoning and the Social: Understanding Students’ Informal Inferences Through an Inferentialist Epistemology

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Topics and Trends in Current Statistics Education Research

Part of the book series: ICME-13 Monographs ((ICME13Mo))

Abstract

Informal statistical inference and informal inferential reasoning (IIR) are increasingly gaining significance in statistics education research. What has not sufficiently been dealt with in previous research is the social nature of students’ informal inferences. This chapter presents results from a study investigating seventh grade students’ IIR in an experiment with paper helicopters. It focuses on students’ reasoning on the best rotor blade length, addressing statistical correlation . We study how students draw inferences when working in a group; and how their inferences emerge socially in their IIR. For grasping the reasoning’s social nature and its normativity, we use inferentialism as background theory . The results illustrate how students’ informal inferences are socially negotiated in the group, how students’ perceived norms influence IIR, and what roles statistical concepts play in students’ IIR.

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Notes

  1. 1.

    A comprehensive description of inferentialism, its differences from constructivism, and its strengths can be found in Noorloos et al. (2017).

  2. 2.

    Please note that (…) indicates a short pause of speech in the student’s utterance. We did not attempt to quantify the exact length of pauses.

  3. 3.

    Please note that it was Rose‘s emphasis.

References

  • Ainley, J., Pratt, D., & Hansen, A. (2006). Connecting engagement and focus in pedagogic task design. British Educational Research Journal, 32(1), 23–38.

    Article  Google Scholar 

  • Ainley, J., Pratt, D., & Nardi, E. (2001). Normalising: Children’s activity to construct meanings for trend. Educational Studies in Mathematics, 45(1–3), 131–146.

    Article  Google Scholar 

  • Bakker, A., Ben-Zvi, D., & Makar, K. (2017). An inferentialist perspective on the coordination of actions and reasons involved in making a statistical inference. Mathematics Education Research Journal, 29(4), 455–470.

    Article  Google Scholar 

  • Bakker, A., Derry, J., & Konold, C. (2006). Using technology to support diagrammatic reasoning about center and variation. In A. Rossman & B. Chance (Eds.), Working Cooperatively in Statistics Education. Proceedings of the Seventh International Conference on Teaching Statistics, Salvador, Brazil. Voorburg, The Netherlands: International Association for Statistical Education and International Statistical Institute.

    Google Scholar 

  • Bakker, A., Kent, P., Noss, R., & Hoyles, C. (2009). Alternative representations of statistical measures in computer tools to promote communication between employees in automotive manufacturing. Technology Innovations in Statistics Education, 3(2).

    Google Scholar 

  • Bakker, A., & Derry, J. (2011). Lessons from inferentialism for statistics education. Mathematical Thinking and Learning, 13(1–2), 5–26.

    Article  Google Scholar 

  • Ben-Zvi, D., & Arcavi, A. (2001). Junior high school students’ construction of global views of data and data representations. Educational Studies in Mathematics, 45(1–3), 35–65.

    Article  Google Scholar 

  • Brandom, R. (1994). Making it explicit: Reasoning, representing, and discursive commitment. Cambridge, MA: Harvard University Press.

    Google Scholar 

  • Brandom, R. (2000). Articulating reasons: An introduction to inferentialism. Cambridge, MA: Harvard University Press.

    Google Scholar 

  • Brandom, R. (2001, July 12). Der Mensch, das normative Wesen. Über die Grundlagen unseres Sprechens. Eine Einführung. [The human, the normative being. About the foundations of our speech. An introduction.] Die Zeit. Retrieved from: https://www.zeit.de/2001/29/200129_brandom.xml.

  • Burgess, T. A. (2006). A framework for examining teacher knowledge as used in action while teaching statistics. In A. Rossman & B. Chance (Eds.), Working Cooperatively in Statistics Education. Proceedings of the Seventh International Conference on Teaching Statistics, Salvador, Brazil. Voorburg, The Netherlands: International Association for Statistical Education and International Statistical Institute.

    Google Scholar 

  • Cobb, P., & McClain, K. (2004). Principles of instructional design for supporting the development of students’ statistical reasoning. In D. Ben-Zvi & J. Garfield (Eds.), The challenge of developing statistical literacy, reasoning and thinking (pp. 375–395). Dordrecht, The Netherlands: Springer.

    Chapter  Google Scholar 

  • Dierdorp, A., Bakker, A., Eijkelhof, H., & van Maanen, J. (2011). Authentic practices as contexts for learning to draw inferences beyond correlated data. Mathematical Thinking and Learning, 13(1–2), 132–151.

    Article  Google Scholar 

  • Gal, I., Rothschild, K., & Wagner, D. A. (1990). Statistical concepts and statistical reasoning in school children: Convergence or divergence. Paper presented at the annual meeting of the American Educational Research Association, Boston, MA, USA.

    Google Scholar 

  • Gil, E., & Ben-Zvi, D. (2011). Explanations and context in the emergence of students’ informal inferential reasoning. Mathematical Thinking and Learning, 13(1–2), 87–108.

    Article  Google Scholar 

  • Groth, R. E. (2013). Characterizing key developmental understandings and pedagogically powerful ideas within a statistical knowledge for teaching framework. Mathematical Thinking and Learning, 15(2), 121–145.

    Article  Google Scholar 

  • Lehrer, R., & Romberg, T. (1996). Exploring children’s data modeling. Cognition and Instruction, 14(1), 69–108.

    Article  Google Scholar 

  • Makar, K., Bakker, A., & Ben-Zvi, D. (2011). The reasoning behind informal statistical inference. Mathematical Thinking and Learning, 13(1–2), 152–173.

    Article  Google Scholar 

  • Makar, K., & Ben-Zvi, D. (2011). The role of context in developing reasoning about informal statistical inference. Mathematical Thinking and Learning, 13(1–2), 1–4.

    Article  Google Scholar 

  • Makar, K., & Rubin, A. (2009). A framework for thinking about informal statistical inference. Statistics Education Research Journal, 8(1), 82–105.

    Google Scholar 

  • Makar, K., & Rubin, A. (2018). Learning about statistical inference. In D. Ben-Zvi, K. Makar, & J. Garfield (Eds.), International handbook of research in statistics education (pp. 261–294). Cham: Springer.

    Google Scholar 

  • McClain, K., Cobb, P., & Gravemeijer, K. (2000). Supporting students’ ways of reasoning about data. US Department of Education, Office of Educational Research and Improvement, Educational Resources Information Center.

    Google Scholar 

  • Meletiou-Mavrotheris, M., & Paparistodemou, E. (2015). Developing students’ reasoning about samples and sampling in the context of informal inferences. Educational Studies in Mathematics, 88(3), 385–404.

    Article  Google Scholar 

  • Mokros, J., & Russell, S. J. (1995). Children’s concepts of average and representativeness. Journal for Research in Mathematics Education, 26(1), 20–39.

    Article  Google Scholar 

  • Moritz, J. (2004). Reasoning about covariation. In D. Ban-Zvi & J. Garfield (Eds.), The challenge of developing statistical literacy, reasoning and thinking (pp. 227–255). Dordrecht, NL: Springer.

    Chapter  Google Scholar 

  • Moritz, J. B. (2000). Graphical representations of statistical associations by upper primary students. In J. Bana & A. Chapman (Eds.), Mathematics Education Beyond 2000. Proceedings of the 23rd Annual Conference of the Mathematics Education Research Group of Australasia (Vol. 2, pp. 440–447). Perth, WA: MERGA.

    Google Scholar 

  • Newen, A., & Schrenk, M. (2012). Einführung in die Sprachphilosophie [Introduction to the philosophy of language.]. WBG-Wissenschaftliche Buchgesellschaft.

    Google Scholar 

  • Nilsson, P., Schindler, M., & Bakker, A. (2018). The nature and use of theories in statistics education. In D. Ben-Zvi, K. Makar, & J. Garfield (Eds.), International handbook of research in statistics education (pp. 359–386). Cham: Springer.

    Google Scholar 

  • Noorloos, R., Taylor, S., Bakker, A., & Derry, J. (2017). Inferentialism as an alternative to socioconstructivism in mathematics education. Mathematics Education Research Journal, 29(4), 437–453.

    Article  Google Scholar 

  • Peregrin, J. (2009). Inferentialism and the compositionality of meaning. International Review of Pragmatics, 1(1), 154–181.

    Article  Google Scholar 

  • Pfannkuch, M. (2006). Informal inferential reasoning. In A. Rossman & B. Chance (Eds.), Working cooperatively in statistics education. Proceedings of the seventh international conference on teaching statistics, Salvador, Brazil. Voorburg, The Netherlands: International Association for Statistical Education and International Statistical Institute.

    Google Scholar 

  • Pfannkuch, M. (2011). The role of context in developing informal statistical inferential reasoning: A classroom study. Mathematical Thinking and Learning, 13(1–2), 27–46.

    Article  Google Scholar 

  • Pollatsek, A., Lima, S., & Well, A. D. (1981). Concept or computation: Students’ understanding of the mean. Educational Studies in Mathematics, 12(2), 191–204.

    Article  Google Scholar 

  • Pratt, D. (1995). Young children’s active and passive graphing. Journal of Computer Assisted learning, 11(3), 157–169.

    Article  Google Scholar 

  • Pratt, D., & Ainley, J. (2008). Introducing the special issue on informal inferential reasoning. Statistics Education Research Journal, 7(2), 3–4.

    Google Scholar 

  • Rossman, A. (2008). Reasoning about informal statistical inference: One statistician’s view. Statistics Education Research Journal, 7(2), 5–19.

    Google Scholar 

  • Roth, W. M. (1996). Where is the context in contextual word problem?: Mathematical practices and products in grade 8 students’ answers to story problems. Cognition and Instruction, 14(4), 487–527.

    Article  Google Scholar 

  • Roth, W. M. (2016). The primacy of the social and sociogenesis. Integrative Psychological and Behavioral Science, 50(1), 122–141.

    Article  Google Scholar 

  • Rubin, A., Hammerman, J., & Konold, C. (2006). Exploring informal inference with interactive visualization software. In Proceedings of the Sixth International Conference on Teaching Statistics. Cape Town, South Africa: International Association for Statistics Education.

    Google Scholar 

  • Schindler, M., Hußmann, S., Nilsson, P., & Bakker, A. (2017). Sixth-grade students’ reasoning on the order relation of integers as influenced by prior experience: An inferentialist analysis. Mathematics Education Research Journal, 29(4), 471–492.

    Article  Google Scholar 

  • Shaughnessy, M. (2006). Research on students’ understanding of some big concepts in statistics. In G. Burrill (Ed.), Thinking and reasoning with data and chance: 68th NCTM yearbook (pp. 77–98). Reston, VA: National Council of Teachers of Mathematics.

    Google Scholar 

  • Watson, J. M. (2001). Longitudinal development of inferential reasoning by school students. Educational Studies in Mathematics, 47(3), 337–372.

    Article  Google Scholar 

  • Wittgenstein, L. (1958). Philosophical investigations. Basil Blackwell.

    Google Scholar 

  • Zieffler, A., Garfield, J., DelMas, R., & Reading, C. (2008). A framework to support research on informal inferential reasoning. Statistics Education Research Journal, 7(2), 40–58.

    Google Scholar 

Download references

Acknowledgements

This work was supported by the Swedish Research Council (Vetenskapsrådet) [2012-04811]. We furthermore want to thank the anonymous reviewers and especially the editors of this book for their constructive feedback and their efforts improving this article.

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Correspondence to Maike Schindler .

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Schindler, M., Seidouvy, A. (2019). Informal Inferential Reasoning and the Social: Understanding Students’ Informal Inferences Through an Inferentialist Epistemology. In: Burrill, G., Ben-Zvi, D. (eds) Topics and Trends in Current Statistics Education Research. ICME-13 Monographs. Springer, Cham. https://doi.org/10.1007/978-3-030-03472-6_7

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  • DOI: https://doi.org/10.1007/978-3-030-03472-6_7

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