Language and Discourse in the Learning of Statistical Concepts

Francis McGonigal

Abstract


Students on Business School courses will require a certain level of numerical ability; therefore, Mathematics and Statistics are important elements of the curriculum (Cottee et. al., 2014). Students often struggle with these quantitative parts of their course and this is sometimes seen as part of a general "Mathematics Problem" that impacts many disciplines including biology, economics, nursing and psychology (Mac an Bhaird and Lawson, 2012). Many students find Statistics in particular a difficult subject as it includes concepts which are complex and even counter-intuitive. For these students the way in which statistical ideas are communicated and specifically the use of language and discourse are of great importance.

This paper reports on ongoing research into the role of language and discourse in teaching and learning Statistics. Included are: Findings from a Pilot Enquiry carried out in 2019; the theoretical background to the research and the challenges presented by the pandemic both for teaching and for the research.


Keywords


StatisticEducation, Pedagogic discourse, Language Codes

Full Text:

PDF

References


Babai, R., Brecher, T., Stavy, R. & Tirosh, D., 2006. Intuitive Interference in Probabilistic Reasoning. International Journal of Science and Mathematics Education, 4, pp. 627-639. https://doi.org/10.1007/s10763-006-9031-1

Bernstein, B., 1973. Class, codes and control. London: Routledge & Kegan Paul.

Bernstein, B., 1981. Codes, modalities, and the process of cultural reproduction: A model. Language in Society, 10(3), 327-363. https://doi.org/10.1017/S0047404500008836

Bernstein, B., 1990. The structuring of pedagogic discourse: Class, codes & control, Volume IV. London: Routledge.

Bernstein, B., 2000. Pedagogy, Symbolic Control and Identity: Theory, Research, Critique. Revised Edition. Lanham, Maryland: Rowman & Littlefield.

Cakir, M. P., 2009. How online small groups co-construct mathematical artifacts to do collaborative problem solving. Ph.D. thesis. Philadelphia: Drexel University.

Cassibba R., Ferrarello D., Mammana M.F., Musso P., Pennisi M. and Taranto E., 2021. Teaching Mathematics at Distance: A Challenge for Universities. Education Sciences, 11(1), Article 1. https://doi.org/10.3390/educsci11010001

Clark, U. I., 2005. Bernstein's theory of pedagogic discourse: linguistics, educational policy and practice in the UK English/literacy classroom. English Teaching, 4(3), pp. 32-47.

Cole, J. C., 2015. Social construction, mathematics, and the collective imposition of function onto reality. Erkenntnis, 80(6), 1101-1124.

Cottee, M. J., Relph A. and Robins, K., 2014. Skills in Mathematics and Statistics in Business and Management and tackling transition. The Higher Education Academy. Available at: https://www.heacademy.ac.uk/system/files/resources/tt_maths_business.pdf [Accessed 1 February 2022].

Dowling, P., 1998. The Sociology of Mathematics Education: Mathematical Myths /Pedagogical Texts. London: Falmer Press.

Ernest, P., 1991. What is philosophy of maths education? Philosophy of Mathematics Education Journal, 18. Available at: http://socialsciences.exeter.ac.uk/education/research/centres/stem/publications/pmej/pome18/PhoM_%20for_ICME_04.htm [Accessed 9 May 2022].

Ernest, P., 2003. Conversation as a Metaphor for Mathematics and Learning. Philosophy of Mathematics Education Journal, 17. Available at: http://socialsciences.exeter.ac.uk/education/research/centres/stem/publications/pmej/pome17/metaphor.htm [Accessed 9 May 2022].

Garfield, J., 1995. How Students Learn Statistics. International Statistical Review, 63(1), pp.25-34. https://doi.org/10.2307/1403775

Garfield, J. & Ben-Zvi, D., 2007. How Students Learn Statistics Revisited: A Current Review of Research on Teaching and Learning Statistics. International Statistical Review, 75(3), pp.372-396.

Illeris, K., 2018. A comprehensive understanding of human learning, In K. Illeris ed. Contemporary Theories of Learning: Learning Theorists in Their Own Words 2nd Edition. Taylor & Francis Group.

Jablonka, E.; Ashjari, H. and Bergsten, C., 2012. Recognising knowledge criteria in undergraduate mathematics education in C. Bergsten, E. Jablonka, & M. Ramon, eds., Proceedings of the Eighth Swedish Mathematics Education Research Seminar (pp.101-110). Linköping: Swedish Society for Research in Mathematics Education.

Kapadia, R., 2013. The Role of Statistical Inference in Teaching and Achievement of Students, In Proceedings 59th ISI World Statistics Congress, 25-30 August 2013, Hong Kong (Session IPS112).

Kruppa, J., Rohmann, J., Herrmann, C., Sieg, M., Rubarth, K. and Piper, S., 2021. What statistics instructors need to know about concept acquisition to make statistics stick. Journal of University Teaching & Learning Practice, 18(2). https://doi.org/10.53761/1.18.2.2

Mac an Bhaird, C. and Lawson, D., 2012. Sigma Guide: How to set up a mathematics and statistics support provision. Available at: http://www.mathcentre.ac.uk/resources/uploaded/51691-how-to-set-upfinal.pdf [Accessed 1 February 2019].

MacDougall, M., 2021. Editorial: Innovations and challenges in the teaching of statistics to non-specialists, Journal of University Teaching & Learning Practice, 18(2). https://doi.org/10.53761/1.18.2.1

MacGillivray, H. and Croft, T., 2011. Understanding evaluation of learning support in mathematics and statistics. International Journal of Mathematical Education in Science and Technology, 42(2), pp.189-212. https://doi.org/10.1080/0020739X.2010.519801

Mustafa, R. Y., 1996. The Challenge of Teaching Statistics to Non-Specialists. Journal of Statistics Education, 4(1). https://doi.org/10.1080/10691898.1996.11910504

Roberts, G., 2002. SET for success: the supply of people with science, technology, engineering and mathematics skills. London: HM Treasury.

Walker, J., Fontinha, R., Haak-Saheem, W. and Brewster, C., 2020. The effects of the COVID-19 lockdown on teaching and engagement in UK business schools. https://doi.org/10.2139/ssrn.3717423




DOI: https://doi.org/10.21100/msor.v20i2.1334

Refbacks

  • There are currently no refbacks.