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A framework for mathematics graphical tasks: the influence of the graphic element on student sense making

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Abstract

Graphical tasks have become a prominent aspect of mathematics assessment. From a conceptual stance, the purpose of this study was to better understand the composition of graphical tasks commonly used to assess students’ mathematics understandings. Through an iterative design, the investigation described the sense making of 11–12-year-olds as they decoded mathematics tasks which contained a graphic. An ongoing analysis of two phases of data collection was undertaken as we analysed the extent to which various elements of text, graphics, and symbols influenced student sense making. Specifically, the study outlined the changed behaviour (and performance) of the participants as they solved graphical tasks that had been modified with respect to these elements. We propose a theoretical framework for understanding the composition of a graphical task and identify three specific elements which are dependently and independently related to each other, namely: the graphic; the text; and the symbols. Results indicated that although changes to the graphical tasks were minimal, a change in student success and understanding was most evident when the graphic element was modified. Implications include the need for test designers to carefully consider the graphics embedded within mathematics tasks since the elements within graphical tasks greatly influence student understanding.

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Notes

  1. Although symbols can be removed from mathematics tasks, such modifications change the nature and intent of the task. For example, removing symbols often provides the opportunity for open-ended problem solving to take place. In this study, the intent was to ensure modifications did not change the intent of the task and consequently the removal of symbols was avoided.

References

  • Ahmed, A., & Pollitt, A. (1999, May). Curriculum demands and question difficulty. Paper presented at the International Association of Educational Assessment conference, Slovenia.

  • Arcavi, A. (2003). The role of visual representation in the learning of mathematics. Educational Studies in Mathematics, 52, 215–241.

    Article  Google Scholar 

  • Australian Association of Mathematics Teachers. (1997, October). Numeracy = everyone’s business. Report for the numeracy education strategy development conference: Adelaide, Australia.

  • Berends, I. E., & van Lieshout, E. C. D. M. (2009). The effect of illustrations in arithmetic problem-solving: Effects of increased cognitive load. Learning and Instruction, 17, 345–353.

    Article  Google Scholar 

  • Bertin, J. (1983). Semiology of graphics (W.J. Berg, Trans.). Madison: The University of Wisconsin Press. (Original work published 1967).

  • Campbell, A. E., Adams, V. M., & Davis, G. (2007). Cognitive demands and second-language learners: a framework for analyzing mathematics instructional contexts. Mathematical Thinking and Learning, 9(1), 3–30.

    Google Scholar 

  • Carpenter, P. A., & Shah, P. (1998). A model of the perceptual and conceptual processes in graph comprehension. Journal of Experimental Psychology: Applied, 4, 75–100.

    Article  Google Scholar 

  • Clark, J. M., & Paivio, A. (1991). Dual coding theory and education. Educational Psychology Review, 3(3), 149–210.

    Article  Google Scholar 

  • Cleveland, W. S., & McGill, R. (1984). Graphical perception: theory, experimentation, and application to the development of graphical methods. Journal of the American Statistical Association, 79(387), 531–554.

    Google Scholar 

  • Cohen, J. (1988). Statistical power analysis for the behavioural sciences (2nd ed.). Hillsdale: Erlbaum.

    Google Scholar 

  • Department for Education and Employment, U.K. (1998). The implementation of the national numeracy strategy: The final report of the numeracy taskforce. London: Author.

    Google Scholar 

  • Diezmann, C. M., & Lowrie, T. (2009a). An instrument for assessing primary students’ knowledge of information graphics in mathematics. Assessment in Education: Principles, Policy and Practice, 16(2), 131–147.

    Article  Google Scholar 

  • Diezmann, C. M., & Lowrie, T. (2009b). The role of fluency in a mathematics item with an embedded graphic: interpreting a pie chart. ZDM: The International Journal on Mathematics Education, 41(5), 651–662.

    Article  Google Scholar 

  • Elia, I., Gagatsis, A., & Demetriou, A. (2007). The effects of different modes of representation on the solution of one-step additive problems. Learning and Instruction, 17, 658–672.

    Article  Google Scholar 

  • Gagatsis, A., & Elia, I. (2004). The effects of different modes of representation on mathematical problem solving. In M. Johnsen Høines & A. B. Fuglestad (Eds.), Proceedings of the 28th conference of the International Group for the Psychology of Mathematics Education (vol. 2) (pp. 447–454). Bergen: Psychology of Mathematics Education.

    Google Scholar 

  • Gattis, M. (2002). Structure mapping in spatial reasoning. Cognitive Development, 17, 1157–1183.

    Article  Google Scholar 

  • Goldin, G. A. (2008). Perspectives on representation in mathematical learning and problem solving. In L. D. English (Ed.), Handbook of international research in mathematics education (2nd ed., pp. 176–201). New York: Routledge.

    Google Scholar 

  • Hittleman, D. R. (1985). A picture is worth a thousand words…if you know the words. Childhood Education, 61–62, 32–36.

    Google Scholar 

  • Janvier, C., Girardon, C., & Morand, J. (1993). Mathematical symbols and representations. In P. S. Wilson (Ed.), Research ideas for the classroom: High school mathematics (pp. 79–102). Reston: National Council of Teachers of Mathematics.

    Google Scholar 

  • Kettler, R. J., Elliott, S. N., & Beddow, P. A. (2009). Modifying achievement test items: a theory-guided and data-based approach for better measurement of what students with disabilities know. Peabody Journal of Education, 84(4), 529–551.

    Article  Google Scholar 

  • Kosslyn, S. M. (1983). Ghosts in the mind’s machine: Creating and using images in the brain. New York: Norton.

    Google Scholar 

  • Kosslyn, S. M. (1994). Elements of graph design. New York: Freeman.

    Google Scholar 

  • Kosslyn, S. M. (2006). Graph design for the eye and mind. New York: Oxford University Press.

    Book  Google Scholar 

  • Leu, D. J., Jr., Kinzer, C. K., Coiro, J. L., & Cammack, D. W. (2004). Towards a theory of new literacies emerging from the internet and other information and communication technologies. In R. B. Ruddell & N. Unrau (Eds.), Theoretical models and processes of reading (5th ed., pp. 1570–1613). Newark: International Reading Association.

    Google Scholar 

  • Logan, T., & Greenlees, J. (2008). Standardised assessment in mathematics: The tale of two items. In M. Goos, R. Brown, & K. Makar (Eds.), Navigating currents and charting directions. Proceedings of the 31st annual conference of the Mathematics Education Research Group of Australasia (Vol 2) (pp. 655–658). Brisbane: MERGA.

    Google Scholar 

  • Lowrie, T. (2009). Blind faith? The mathematics of decision making within the professions. In B. Green (Ed.), Understanding and researching professional practice (pp. 121–134). Rotterdam: Sense Publishers.

    Google Scholar 

  • Lowrie, T., & Diezmann, C. M. (2005). Fourth-grade students’ performance on graphical languages in mathematics. In H. L. Chick & J. L. Vincent (Eds.), Proceedings of the 30th annual conference of the International Group for the Psychology of Mathematics Education (vol. 3) (pp. 265–272). Melbourne: PME.

    Google Scholar 

  • Lowrie, T., & Diezmann, C. M. (2007). Solving graphics problems: student performance in the junior grade. Journal of Educational Research, 100(6), 369–377.

    Article  Google Scholar 

  • Lowrie, T., & Diezmann, C. M. (2009). National numeracy tests: a graphic tells a thousand words. Australian Journal of Education, 53(2), 141–158.

    Google Scholar 

  • Lowrie, T., Diezmann, C. M., & Logan, T. (2011, September 21). Understanding graphicacy: students’ sense making on mathematics assessment items. International Journal of Mathematics Teaching and Learning. Retrieved from http://www.cimt.plymouth.ac.uk/journal/default.htm.

  • Mackinlay, J. (1999). Automating the design of graphical presentations of relational information. In S. K. Card, J. D. Mackinlay, & B. Schneiderman (Eds.), Readings in information visualization: Using vision to think (pp. 66–81). San Francisco: Morgan Kaufmann.

    Google Scholar 

  • Ministerial Council on Education, Employment, Training and Youth Affairs (MCEETYA). (2008). National Assessment Program Literacy and Numeracy: Year 3 numeracy test. Melbourne: Curriculum Corporation.

    Google Scholar 

  • National Council of Teachers of Mathematics (NCTM). (2000). Principles and standards for school mathematics. Reston: NCTM.

    Google Scholar 

  • Presmeg, N. C. (1986). Visualization in high school mathematics. For the Learning of Mathematics, 6(3), 42–46.

    Google Scholar 

  • Schmidt-Weigand, F., Kohnert, A., & Glowalla, U. (2010). A closer look at split visual attention in system- and self-paced instruction in multimedia learning. Learning and Instruction, 20(2), 100–110.

    Article  Google Scholar 

  • Shah, P., & Hoeffner, J. (2002). Review of graph comprehension research: Implications for instruction. Educational Psychology Review, 14, 47–69.

    Article  Google Scholar 

  • Tversky, B. (2001). Spatial schemas in depictions. In M. Gattis (Ed.), Spatial schemas and abstract thought (pp. 79–112). Cambridge: MIT Press.

    Google Scholar 

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Acknowledgments

This research was funded by the Australian Research Council (Grant #DP0453366). We would like to thank Jane Greenlees for her contribution to the data collection and KimWoodland for her critical editing. An earlier version of this paper was presented at the 31st Annual Conference of the Mathematics Education Research Group of Australasia (Logan and Greenlees 2008).

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Correspondence to Tom Lowrie.

Appendix: The standard and modified items

Appendix: The standard and modified items

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* This item has been slightly modified.

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Lowrie, T., Diezmann, C.M. & Logan, T. A framework for mathematics graphical tasks: the influence of the graphic element on student sense making. Math Ed Res J 24, 169–187 (2012). https://doi.org/10.1007/s13394-012-0036-5

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