Abstract
Representation is viewed as central to mathematical problem solving. Yet, it is becoming obvious that students are having difficulty negotiating the various forms and functions of representations. This article examines the functions that representation has in students’ mathematical problem solving and how that compares to its function in the problem solving of experts and broadly in mathematics. Overall, this work highlights the close connections between the work of experts and students, showing how students use representations in ways that are inherently similar to those of experts. Both experts and students use representations as tools towards the understanding, exploration, recording, and monitoring of problem solving. In social contexts, experts and students use representations for the presentation of their work but also the negotiation and co-construction of shared understandings. However, this research also highlights where students’ work departs from experts’ representational practices, hence, providing some directions for pedagogy and further work.
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Notes
As Presmeg (2006) noted, the term representation “became imbued with various meanings and connotations in the changing paradigms of the last two decades” (p. 206). She further notes that the mathematics education community has had difficulty articulating an accurate definition of this term. Presmeg continues to quote Kaput (1987) that “an indication of this difficulty is that definitions for the term ‘representation’ often include the word ‘represent’”. Hence several researchers prefer to use the term ‘inscriptions’ rather than representations. Here, I maintain the use of representation to stay closer to the majority of the literature; however, I use it as synonymous to ‘inscription’.
Roth and McGinn (1997) use the terms “rhetorical objects” and “conscription devices”.
References
Ainsworth, S., Bibby, P., & Wood, D. (1997). Evaluating principles for multi-representational learning environments. Paper presented at the 7th European Conference for Research on Learning and Instruction, Athens, Greece.
Bieda, K., & Nathan, M. (2009). Representational disfluency in algebra: Evidence from student gestures and speech. ZDM-The International Journal on Mathematics Education, 41, 637–650.
Cobb, P., & Bauersfeld, H. (1995). The emergence of mathematical meaning: Interaction in classroom cultures. Hillsdale: Lawrence Erlbaum.
Cobb, P., & Steffe, L. P. (1983). The constructivist researcher as teacher and model builder. Journal for Research in Mathematics Education, 14(2), 83–94.
Cobb, P. & Yackel, E. (1995). Constructivist, emergent, and sociocultural perspectives in the context of developmental research. In Proceedings of PME-NA XXVII, Roanoke, Virginia.
Cobb, P., Yackel, E., & McClain, K. (2000). Symbolizing and communicating in mathematics classrooms: Perspectives on discourse, tools, and instructional design. Mahwah: Lawrence Erlbaum.
Creswell, J. (1998). Qualitative inquiry and research design: Choosing among five traditions. London: Sage.
Cuoco, A. (2001). The roles of representation in school mathematics (2001 Yearbook). Reston: NCTM.
DeBellis, V., & Goldin, G. (2006). Affect and meta-affect in mathematical problem solving. A representational perspective. Educational Studies in Mathematics, 63(2), 131–147.
de Jong, T., Ainsworth, S., Dobson, M., van der Hulst, A., Levonen, J., & Reimann, P. (1998). Acquiring knowledge in science and math: The use of multiple representations in technology-based learning environments. In M. W. van Someren et al. (Eds.), Learning with multiple representations (pp. 9–40). Amsterdam: Pergamon.
Duval, R. (2002). The cognitive analysis of problems of comprehension in the learning of mathematics. Mediterranean Journal for Research in Mathematics Education, 1(2), 1–16.
Eisenberg, T., & Dreyfus, T. (1994). On understanding how students learn to visualize function transformations. Research in Collegiate Mathematics Education, 1, 45–68.
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.
Fosnot, C., & Dolk, M. (2002). Young mathematicians at work. Portsmouth: Heinemann.
Freudental, H. (1968). Why to teach mathematics so as to be useful. Educational Studies in Mathematics, 1, 3–8.
Gibson, D. (1998). Students’ use of diagrams to develop proofs in an introductory analysis course. In A. H. Schoenfeld, J. Kaput, & E. Dubinsky (Eds.), Research in collegiate mathematics education. III (CBMS Issues in Mathematics Education) (Vol. 7, pp. 284–307). Providence: American Mathematical Society.
Goldin, G. A. (2002). Representation in mathematical learning and problem solving. In L. English (Ed.), Handbook of research in mathematics education (pp. 197–218). Mahwah: Lawrence Erlbaum.
Gravemeijer, K. (2002). From models to modeling. In K. Gravenmeijer, R. Lehrer, B. van Oers, & L. Verschaffel (Eds.), Symbolizing, modeling and tool use in mathematics education (pp. 7–23). Dordrecht: Kluwer.
Greeno, J. G. (1988). Situated activities of learning and knowing in mathematics. In Proceedings of the 10th annual meetings of PME-NA (pp. 481–521). DeKalb, IL
Greeno, J., & Hall, R. (1997). Practicing representation. Phi Delta Kappan, 78(5), 361–368.
Grosslight, L., Unger, E. J., & Smith, C. (1991). Understanding models and their use in science. Journal of Research in Science Teaching, 28(9), 799–822.
Hall, R. (1989). Exploring the episodic structure of algebra story problem solving. Cognition and Instruction, 6, 223–283.
Hall, R., & Stevens, R. (1995). Making space. In S. Star (Ed.), The cultures of computing (pp. 118–145). London: Basil Blackwell.
Heinze, A., Star, J., & Verschaffel, L. (2009). Flexible and adaptive use of strategies and representations in mathematics education. ZDM- The International Journal on Mathematics Education, 41, 535–540.
Izsák, A. (2003). “We want a statement that is always true”: Criteria for good algebraic representations and the development of modeling knowledge. Journal for Research in Mathematics Education, 34(3), 191–227.
Izsák, A., & Gamoran Sherin, M. (2003). Exploring the use of new representations as a resource for teacher learning. School Science and Mathematics, 103, 18–27.
Janvier, C. (1987). Translation processes in mathematics education. In C. Janvier (Ed.), Problems of representation in the teaching and learning of mathematics. Hillsdale: Lawrence Erlbaum.
Kaminski, J., Sloutsky, V., & Heckler, A. (2008). The advantage of abstract examples in learning math. Science, 320, 454–455.
Kaput, J. (1985). Representation and problem solving: Methodological issues related to modelling. In E. A. Silver (Ed.), Teaching and learning mathematical problem solving: Multiple research perspectives (pp. 381–398). Hillsdale: Lawrence Erlbaum.
Kaput, J. (1987). Representational systems and mathematics. In C. Janvier (Ed.), Problems of representation in the teaching and learning of mathematics (pp. 19–26). Hillsdale: Lawrence Erlbaum.
Kaput, J. J. (1991). Notations and representations as mediators of constructive process. In E. von Glasersfeld (Ed.), Radical constructivism in mathematics education (pp. 53–74). Dordrecht: Kluwer.
Kaput, J. J. (1992). Technology and mathematics education. In D. Grouws (Ed.), Handbook of research on mathematics teaching and learning. New York: Macmillan.
Kindt, M., Mabels, M., Meyer, R., & Pligge, M. (1998). Comparing quantities. In National Center for Research in Mathematical Sciences Education & Freudenthal Institute (Ed.), Mathematics in Context: A connected curriculum for grades 5-8. Chicago: Encyclopedia Brittanica Educational Corporation.
Leinhardt, G., Zaslavsky, O., & Stein, M. K. (1990). Functions, graphs and graphing: Tasks, learning and teaching. Review of Educational Research, 60(1), 1–64.
Lesh, R., Behr, M., & Post, T. (1987). Rational number relations and proportions. In C. Janvier (Ed.), Problems of Representation in the Teaching and Learning of Mathematics. Hillsdale: Lawrence Erlbaum.
Meira, L. (2002). Mathematical representations as systems of notations-in-use. In K. Gravenmeijer, R. Lehrer, B. van Oers, & L. Verschaffel (Eds.), Symbolizing, modeling and tool use in mathematics education (pp. 87–104). Dordrecht: Kluwer.
Monk, S. (2003). Representation in school mathematics: Learning to graph and graphing to learn. In J. Kilpatrick (Ed.), A research companion to PSSM (pp. 250–262). Reston: NCTM.
National Council of Teachers of Mathematics. (2000). Principles and standards for school mathematics. Reston: NCTM.
Newell, A., & Simon, H. (1972). Human problem solving. Englewood Cliffs: Prentice Hall.
Nistal, A., Van Dooren, W., Clarebout, G., Elen, J., & Veschaffel, L. (2009). Conceptualizing, investigating and simulating representational flexibility in mathematical problem solving and learning: A critical review. ZDM- The International Journal on Mathematics Education, 41, 627–636.
Ochs, E., Jacoby, S., & Gonzales, P. (1994). Interpretive journeys: How physicists talk and travel through graphic space. Configurations, 2(1), 151–171.
Olson, D. (1994). The world on paper. Cambridge: Cambridge University Press.
Presmeg, N. (1997). Reasoning with metaphors and metonymies in mathematics learning. In L. English (Ed.), Mathematical reasoning: Analogies, metaphors, and images (pp. 267–279). Mahwah: LEA.
Presmeg, N. (2006). Research on visualization in learning and teaching mathematics. In A. Gutierrez & P. Boero (Eds.), Handbook of research on the psychology of mathematics education (pp. 205–235). Rotterdam: Sense Publishers.
Roth, W. M., & McGinn, M. K. (1997). Graphing: Cognitive ability or practice? Science & Education, 81, 91–106.
Schoenfeld, A. H. (1985). Mathematical problem solving. New York: Academic.
Sfard, A. (1991). On the dual nature of mathematical conceptions. Educational Studies in Mathematics, 22, 1–36.
Sfard, A. (2000). Steering (dis)course between metaphors and rigor. Journal for Research in Mathematics Education, 31(3), 296–327.
Silver, E., Ghousseini, H., Gosen, D., Charalambous, C., & Font Strawhun, B. (2005). Moving from rhetoric to praxis: Issues faced by teachers in having students consider multiple solutions for problems in the mathematics classroom. Journal of Mathematical Behavior, 24, 287–301.
Smith, M., Hughes, E., Engle, R., & Stein, M. (2009). Orchestrating discussions. Mathematics Teaching in the Middle School, 14, 548–556.
Steffe, L., & Kieren, T. (1994). Radical constructivism and mathematics education. Journal for Research in Mathematics Education, 25, 711–733.
Stein, M. K., Smith, M. S., Henningsen, M. A., & Silver, E. A. (2009). Implementing standards-based mathematics instruction: A casebook for professional development (2nd ed.). New York: Teachers College Press.
Stylianou, D. (2002). Interaction of visualization and analysis—The negotiation of a visual representation in problem solving. Journal of Mathematical Behavior, 21, 303–307.
Stylianou, D. (2010). Teachers’ conceptions of representation in the context of middle school mathematics. Journal of Mathematics Teacher Education, 13(4), 325–343.
Stylianou, D. A., & Silver, E. A. (2004). The role of visual representations in advanced mathematical problem solving: An examination of expert-novice similarities and differences. Journal of Mathematical Thinking and Learning, 6(4), 353–387.
Vygotsky, L. (1962). Thought and language. (E. Hanfmann & G. Vakar, Trans.). Cambridge: MIT
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The research reported here was supported in part by the National Science Foundation under Grant # REC-0447542. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the National Science Foundation.
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Stylianou, D.A. An examination of middle school students’ representation practices in mathematical problem solving through the lens of expert work: towards an organizing scheme. Educ Stud Math 76, 265–280 (2011). https://doi.org/10.1007/s10649-010-9273-2
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DOI: https://doi.org/10.1007/s10649-010-9273-2