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ZDM

, Volume 49, Issue 6, pp 881–893 | Cite as

Resisting the desire for the unambiguous: productive gaps in researcher, teacher and student interpretations of a number story task

  • Mellony Graven
  • Alf Coles
Original Article

Abstract

This article offers reflections on task design in the context of a Grade R (reception year) in-service numeracy project in South Africa. The research explores under what conditions, and for what learning purpose, a task designed by someone else may be recast and how varying given task specifications may support or inhibit learning, as a result of that recasting. This question is situated within a two-pronged task design challenge as to emerging gaps between the task designer’s intentions and teacher’s actions and secondly between the teachers’ intentions and students’ actions. Through analysing two teachers and their respective Grade R students’ interpretations of a worksheet task, provided to teachers in the project, we illuminate the way explicit constraints, in the form of task specifications, can be both enabling and constraining of learning. In so doing we recast this ‘double gap’ as enabling productive learning spaces for teacher educators, teachers and students.

Keywords

Numeracy task design Task specification Number stories 

References

  1. Artigue, M., & Perrin-Glorian, M.-J. (1991). Didactic engineering, research and development tool: Some theoretical problems linked to this duality. For the Learning of Mathematics, 11(1), 3–17.Google Scholar
  2. Bateson, G. (1979). Mind and Nature: A Necessary Unity (p. 2002). Cresskill: Hampton Press Inc.Google Scholar
  3. Chevallard, Y. (1988). On didactic transposition theory: some introductory notes. Paper presented at the International Symposium on Research and Development in Mathematics Education, Bratislava, Czechoslovakia. Available online at http://yves.chevallard.free.fr/spip/spip/rubrique.php3?id_rubrique=6. Accessed 20 Aug 2012.
  4. Coles, A. (2015). On enactivism and language: towards a methodology for studying talk in mathematics classrooms. ZDM, 47(2), 235–246.CrossRefGoogle Scholar
  5. Coles, A., & Brown, L. (2016). Task design for ways of working: making distinctions in teaching and learning mathematics. Journal of Mathematics Teacher Education, 19(2), 149–168.CrossRefGoogle Scholar
  6. Cuoco, A., Goldenburg, E., & Mark, J. (1996). Habits of mind: An organizing principle for mathematics curriculum. Journal of Mathematical Behavior, 15(4), 375–402.CrossRefGoogle Scholar
  7. DBE. (2011a). Action Plan to 2014: Towards the Realisation of Schooling 2025. DBE: Pretoria.Google Scholar
  8. DBE. (2011b). National Curriculum Statement: Curriculum and Assessment Policy, Foundation Phase, Grade R. Mathematics. Pretoria: DBE.Google Scholar
  9. DBE. (2014). Report on the Annual National Assessments. Pretoria: DBE.Google Scholar
  10. DBRC. (2003). Design-based research: an emerging paradigm for educational inquiry. Educational Researcher, 32(1), 5–8.CrossRefGoogle Scholar
  11. Doyle, B., & Bramwell, W. (2006). Promoting emergent literacy and social–emotional learning through dialogic reading. The Reading Teacher, 59(6), 554–564.CrossRefGoogle Scholar
  12. Graven, M. (2014). Poverty, inequality and mathematics performance: the case of South Africa’s post-apartheid context. ZDM, 46, 1039–1049.CrossRefGoogle Scholar
  13. Graven, M. (2016). When systemic interventions get in the way of localized mathematics reform. For the Learning of Mathematics, 36(1), 8–13.Google Scholar
  14. Graven, M., & Venkat, H. (Eds.). (2017). Improving primary mathematics education, teaching and learning: Research for development in in resource constrained contexts. Hampshire: Palgrave Macmillan.Google Scholar
  15. Graven, M., Venkat, H., Westaway, L., & Tshesane, H. (2013). Place value without number sense: Exploring the need for mental mathematical skills assessment within the Annual National Assessments. South African Journal of Childhood Education, 3(2), 131–143.CrossRefGoogle Scholar
  16. Lyle, J. (2003). Stimulated recall: a report on its use in naturalistic research. British Education Research Journal, 29(6), 861–878.CrossRefGoogle Scholar
  17. Margolinas, C. (2005). Les situations à bifurcations multiples: indices de dysfonctionnement ou de cohérence. In A. Mercier & C. Margolinas (Eds.), Balises en didactique des mathématiques (pp. Cédérom). Grenoble La Pensée Sauvage.Google Scholar
  18. Mason, J., Graham, A., & Johnston-Wilder, S. (2005). Developing thinking in algebra. London: Paul Chapman Publishing.Google Scholar
  19. Maturana, H., & Varela, F. (1987). The tree of knowledge: the biological roots of human understanding. Boston: Shambala.Google Scholar
  20. Maturana, H., & Verden-Zoller, G. (2008). The origin of humanness in the biology of love. Exeter. UK: Imprint Academic.Google Scholar
  21. Reid, D. (1996). Enactivism as a methodology. In L. Puig & A. Gutierrez (Eds.), Proceedings of the twentieth annual conference of the International Group for the Psychology of Mathematics Education (Vol. 4, pp. 203–209). Valencia, Spain: PME 20.Google Scholar
  22. Reid, D., & Mgombelo, J. (2015). Roots and key concepts in enactivist theory and methodology. ZDM, 47(2), 171–183.CrossRefGoogle Scholar
  23. Roberts, N. (2016). Telling and illustrating additive relation stories. Unpublished doctoral dissertation. University of the Witwatersrand.Google Scholar
  24. Tahta, D. (1980). About geometry. For the Learning of Mathematics, 1(1), 2–9.Google Scholar
  25. Takane, T., Tshesane, H., & Askew, M. (2017). Chapter 12: From Theory to practice: challenges in adopting pedagogies of mathematizing in South Africa. In M. Graven & H. Venkat (Eds.), Improving primary mathematics education, teaching and learning: Research for development in in resource constrained contexts (pp. 179–197). Hampshire: Palgrave Macmillan.CrossRefGoogle Scholar
  26. Thompson, E., & Stapleton, M. (2009). Making sense of sense-making: reflections on enactive and extended mind theories. Topoi, 28(1), 23–30.CrossRefGoogle Scholar
  27. Van den Heuvel-Panhuizen, M. (2003). The didactical use of models in realistic mathematics education: An example from a longitudinal trajectory on percentage. Educational Studies in Mathematics, 54(1), 9–35.CrossRefGoogle Scholar
  28. Watson, A., & Mason, J. (2007). Taken-as-shared: A review of common assumptions about mathematical tasks in teacher education. Journal of Mathematics Teacher Education, 10(4), 205–215.CrossRefGoogle Scholar
  29. Watson, A., & Ohtani, M. (2012). Task design in mathematics education discussion document. ICMI study 22 announcement and call for papers. http://ncm.gu.se/media/ncm/dokument/ICMI_Study_22_announcement_and_call_for_papers.pdf. Accessed 28 Oct 2014.
  30. Weitz, M., & Venkat, H. (2013). Assessing early number learning†¯: How useful is the Annual National Assessment in Numeracy? Perspectives in Education, 31(3), 49–65.Google Scholar
  31. Wright, R. J., Martland, J., Stafford, A. K., & Stanger, G. (2006). Teaching Number: Advancing children’s skills and strategies (2nd edn.). London: Paul Chapman Publishing Ltd.Google Scholar

Copyright information

© FIZ Karlsruhe 2017

Authors and Affiliations

  1. 1.Rhodes UniversityGrahamstownSouth Africa
  2. 2.University of BristolBristolUK

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