Skip to main content

Introduction

A Reflection on Visual Studies in Mathematics Education: From Purposeful Tourism to a Traveling Theory

  • Chapter
  • First Online:
Book cover Toward a Visually-Oriented School Mathematics Curriculum

Part of the book series: Mathematics Education Library ((MELI,volume 49))

  • 1172 Accesses

Abstract

In writing this book, I have definitely stood on the shoulders of giants whose works on various aspects of mathematical visualization have enriched our understanding of how students actually learn mathematics. The impressive critical syntheses of research studies on visualization in mathematics by Presmeg (2006) and Owens and Outhred (2006), which have been drawn from the annual peer-reviewed proceedings of the International Group for the Psychology of Mathematics Education (IGPME) over a period that spans three decades (1976–2006), provide a comprehensive list of important contributors whose thoughts are reflected in various places in this book. Twenty years ago, the Mathematical Association of America published a visual-driven monograph edited by Zimmermann and Cunningham (1991) that consists of reflective essays by, including references to other, researchers who then began the exciting task of exploring ways to visualize abstract mathematical objects via the power of computer software tools that could support and mediate in the development of advanced mathematical concepts and processes.

This is awesome.

(Nikki, Grade 2, 7 years old)

As classroom observations and teacher interviews continued, it seemed that [the ten middle grades] teachers described their use of manipulatives as fun and distinct from their regular teaching of mathematics. Although these distinctions emerged subtly, a very clear indication of this occurred halfway through the year. Describing a lesson with manipulatives, Joan said, “Sometimes I think that they are just having fun, but I don’t mind because eventually we’ll get to the real math part” (interview 2). Later in the same interview Joan stated, “When we’re doing hands-on stuff they’re having more fun, so they really don’t think about it as being math” (interview 2). …. Not only did teachers appear to distinguish between “fun math” lessons where manipulatives were used and “real math” lessons where traditional paper-and-pencil methods were used, but they also made distinctions between parts of individual lessons. For example, the manipulatives may be used for exploration at the beginning or “fun math” part of a lesson, or they may be used in an activity or a game after the mathematics content was taught; but during the teaching of specific skills or content, paper-and-pencil methods were used to teach and practice the “real math.”

(Moyer, 2001, p. 187)

The lesson of the dichotomies should now be clear: they demand the “and” of intersection. Geometrical intuition never gets far without analytic abstraction, and vice versa.

(Wise, 2006, p. 80)

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 109.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Notes

  1. 1.

    Situating the nature and context of thinking that was taking place in the 1990s outside the confines of mathematics education, Mitchell’s (1994) influential book, Picture Theory, cushioned the decade point within the “pictorial [or iconic or visual] turn in contemporary culture, the widely shared notion that visual images have replaced words as the dominant mode of expression in our time,” which should then necessitate “a new initiative called visual culture (the study of human visual experience and expression)” (italics added; Mitchell, 2005, p. 5). Mitchell, then, of course, was not recommending but problematizing the proposed wholesale shift from word to image by surfacing the reality-creating power of the latter via imaging technologies and the theories and attitudes people have about pictures/visuals/images and their relationships with the corresponding verbal representations. Brown’s (2002) thoughts below, which basically ground mathematics as being prior to imagination, offer a complementary perspective to Mitchell’s thoughts about the ontological power of images:

    It is mathematics which inspires the imagination, as totally new forms and almost unbelievable patterns and structures are revealed. These fruits of the imagination, verified through the tough testing of logic and calculation, have what has been described as an “unreasonable effectiveness in the physical sciences.”

    (Brown, 2002, pp. 157–158)

  2. 2.

    Certainly the visual/symbolic divide, O’Halloran (2005) notes, “has a long history” (p. 129). O’Halloran’s trace begins with traditionalists during the time of Descartes who perceived the visual as a heuristic tool and the symbolic as the rigid road toward a valid proof. She then points to Davis (1974) as representative of mathematicians who hold the opposite view that visuals could be considered a valid form of proof leading to theorem-of-the-perceived kind of arguments. O’Halloran also draws on the work of Galison (2002) who sees the divide as an oscillating phenomenon and Shin (1994) who interprets mathematicians’ incredulity toward the visual medium as being all about constructing diagrams that are loaded with errors, imprecise, narrowly generalizable, and incomplete.

  3. 3.

    In the US history of school mathematics, in particular, it is interesting to note how nineteenth century textbooks have found the use of manipulatives to be a valuable complementary pedagogical tool to the inductive method espoused in arithmetic and problem solving (Michalowicz & Howard, 2003). But then its status, including visualization, more generally, seemed to have been afloat in twentieth century algebra and geometry textbooks (Donaghue, 2003). Rousseau and Pestalozzi, as well as the emphasis on real-life problem solving, influenced mathematics pedagogy in the nineteenth century, which could not be upheld at least in the twentieth century context as a result of the mathematics community’s preoccupation toward developing an axiomatic structural approach to teaching mathematics.

  4. 4.

    Hutchins (1995) spoke about “cognition in the wild” in ecological terms as a type of adaptive thinking that occurs in its natural state within the context of culturally constituted activity (or “lifeworld-dependent” as we refer to it in Chapter 2 and in succeeding chapters).

  5. 5.

    A similar progressive view is emerging in accounts of growth in scientific knowledge. For example, I refer readers to Maienschein’s (1991) interesting analysis of drawings involving cell development, which depicts visualizations that progressively shift from photographs (as presented data) to diagrams (as represented data).

  6. 6.

    Skemp’s progressive model reflects inductive approaches to word learning whereas more recent progressive accounts of Cobb and Gravemeijer ground their model in authentic (real and experientially real) mathematical activity that sees changes in notating, symbolizing, and abstracting as effects of mathematical reality construction.

  7. 7.

    Peirce’s hypostasized abstraction, this “essential part of almost every really helpful step in mathematics” (1976, p. 160), is similar to Skemp’s (1987/1971) account of concept or word acquisition, which involves the formal “naming” of a category (i.e., the subject) that represents a set of instances having a shared common property or attribute (i.e., the predicate). For example, “twoness” is a term – a “new abstract object” (Otte, 2003, p. 219) – that hypostasizes concrete instances involving any two objects (indeed for Peirce cardinal numbers represent hypostasized abstractions drawn from a predicate of a collection. Peirce writes:

    A term denoting a collection is singular, and such a term is an “abstraction” or product of the operation of hypostatic abstraction as truly as is the name of the essence. … Indeed, every object of a conception is either a signate individual or some kind of indeterminate individual. Nouns in the plural are usually distributive and general; common nouns in the singular are usually indefinite.

    (Peirce, 1934, p. 299)

    Otte (2003) provides additional examples such as the notion of a set “whose mode of existence depends on the existence of other fundamental things … which is based on the existence of its own elements” (p. 218). Imaginary numbers as an object were used to develop the theory of complex functions. “Again and again,” Otte (2003) notes about hypostasized abstractions, “a construction or an algorithmic procedure is taken as an object to be incorporated into another construction or procedure” (p. 220).

References

  • Artigue, M. (2003). Learning mathematics in a CAS environment: The genesis of a reflection about instrumentation and the dialectics between technical and conceptual work. Proceedings of the CAME 2001 symposium: communicating mathematics through computer algebra systems. Retrieved from http://ltsn.mathstore.ac.uk/came/events/freudenthal/theme1.htm

  • Bakker, A. (2007). Diagrammatic reasoning and hypostasized abstraction in statistics education. Semiotica, 164(1/4), 9–29.

    Article  Google Scholar 

  • Bartolini-Bussi, M., & Boni, M. (2003). Instruments for semiotic mediation in primary school classrooms. For the Learning of Mathematics, 23(2), 15–22.

    Google Scholar 

  • Barwise, J., & Etchemendy, J. (1991). Visual information and valid reasoning. In W. Zimmerman & S. Cunningham (Eds.), Visualizing in teaching and learning mathematics (pp. 9–24). Washington, DC: Mathematical Association of America.

    Google Scholar 

  • Brown, R. (2002). Forum discussion: How art can help the teaching of mathematics. In C. Bruter (Ed.), Mathematics and art: Mathematical visualization in art and education (pp. 155–159). Berlin: Springer.

    Google Scholar 

  • Bruner, J. (1978). Prologue to the English edition. In R. Rieber & A. Carton (Eds.), The collected works of L. S. Vygotsky, volume 1: Problems of general psychology (pp. 1–16). New York: Plenum Press.

    Google Scholar 

  • Cobb, P. (2007). Putting philosophy to work: Coping with multiple theoretical perspectives. In F. Lester, Jr. (Ed.), Second handbook of research on mathematics teaching and learning (pp. 3–38). Charlotte, NC: National Council of Teachers of Mathematics and Information Age Publishing.

    Google Scholar 

  • Davis, P. (1974). Visual geometry, computer graphics, and theorems of perceived type. Proceedings of the symposia in applied mathematics: Volume 20.

    Google Scholar 

  • Donaghue, E. (2003). Algebra and geometry textbooks in twentieth-century America. In G. Stanic & J. Kilpatrick (Eds.), A history of school mathematics (Vol. 1, pp. 329–398). Reston, VA: National Council of Teachers of Mathematics.

    Google Scholar 

  • Duval, R. (2006). A cognitive analysis of problems of comprehension in a learning of mathematics. Educational Studies in Mathematics, 61(1–2), 103–131.

    Article  Google Scholar 

  • Eisenberg, T., & Dreyfus, T. (1991). On the reluctance to visualize in mathematics. In W. Zimmermann & S. Cunningham (Eds.), Visualization in teaching and learning mathematics (pp. 25–38). Washington, DC: Mathematical Association of America.

    Google Scholar 

  • Goldin, G. (2002). Representation in mathematical learning and problem solving. In L. English (Ed.), Handbook of International Research in Mathematics Education (pp. 197–218). Mahwah, NJ: Erlbaum.

    Google Scholar 

  • Haciomeroglu, E., Aspinwall, L., & Presmeg, N. (2010). Contrasting cases of calculus students’ understanding of derivative graphs. Mathematical Thinking and Learning, 12, 152–176.

    Article  Google Scholar 

  • Hutchins, E. (1995). Cognition in the wild. Cambridge, MA: MIT Press.

    Google Scholar 

  • Leushina, A. (1991). Soviet studies in mathematics education (volume 4): The development of elementary mathematical concepts in preschool children. (J. Teller, Trans.). Reston, VA: National Council of Teachers of Mathematics.

    Google Scholar 

  • Levy, S. (1997). Peirce’s theoremic/corollarial distinction and the interconnections between mathematics and logic. In N. Houser, D. Roberts, & J. Van Evra (Eds.), Studies in the logic of Charles Sanders Peirce (pp. 85–110). Bloomington, IN: Indiana University Press.

    Google Scholar 

  • Maienschein, J. (1991). From presentation to representation in E. B. Wilson’s “The Cell.” Biology and Philosophy, 6, 227–254.

    Article  Google Scholar 

  • Mariotti, M. A. (2000). Introduction to proof: The mediation of a dynamic software environment. Educational Studies in Mathematics, 44, 25–53.

    Article  Google Scholar 

  • Mariotti, M. A. (2002). The influence of technological advances on students’ mathematics learning. In L. English (Ed.), Handbook of international research in mathematics education (pp. 695–724). Mahwah, NJ: Erlbaum.

    Google Scholar 

  • Mason, J. (1980). When is a symbol symbolic? For the Learning of Mathematics, 1(2), 8–12.

    Google Scholar 

  • McCormick, B., DeFanti, T., & Brown, M. (1987). Definition of visualization. ACM SIGGRAP Computer Graphics, 21(6), 1–3.

    Google Scholar 

  • Michalowicz, K., & Howard, A. (2003). Pedagogy in text: An analysis of mathematics texts from the nineteenth century. In G. Stanic & J. Kilpatrick (Eds.), A history of school mathematics (Vol. 1, pp. 77–112). Reston, VA: National Council of Teachers of Mathematics.

    Google Scholar 

  • Millar, S. (1994). Understanding and representing space: Theory and evidence from studies with blind and sighted children. Oxford, UK: Oxford University Press.

    Google Scholar 

  • Mitchell, W. (2005). What do pictures want? The lives and loves of images. Chicago, IL: University of Chicago Press.

    Google Scholar 

  • Moyer, P. (2001). Are we having fun yet? How teachers use manipulatives to teach mathematics. Educational Studies in Mathematics, 47, 175–197.

    Article  Google Scholar 

  • Ng, S. F., & Lee, K. (2009). The model method: Singapore children’s tool for representing and solving algebraic word problems. Journal for Research in Mathematics Education, 40(3), 282–313.

    Google Scholar 

  • O’Halloran, K. (2005). Mathematical discourse: Language, symbolism, and visual images. New York: Continuum.

    Google Scholar 

  • Otte, M. (2003). Complementarity, sets, and numbers. Educational Studies in Mathematics, 53, 203–228.

    Article  Google Scholar 

  • Owens, K., & Outhred, L. (2006). The complexity of learning geometry and measurement. In A. Gutierrez & P. Boero (Eds.), Handbook of research on the psychology of mathematics education: Past, present, and future (pp. 83–115). Rotterdam, Netherlands: Sense Publishers.

    Google Scholar 

  • Pedemonte, B. (2007). How can the relationship between argumentation and proof be analyzed? Educational Studies in Mathematics, 66(1), 25–41.

    Article  Google Scholar 

  • Peirce, C. (1934). In C. Hartshorne & P. Weiss (Eds.), Collected papers of Charles Sanders Peirce: Volume V. Cambridge, MA: Harvard University Press.

    Google Scholar 

  • Peirce, C. (1976). In C. Eisele (Ed.), The new elements of mathematics: Volume IV mathematical philosophy. Atlantic Highlands, NJ: Humanities Press.

    Google Scholar 

  • Poplu, G., Ripoll, H., Mavromatis, S., & Baratgin, J. (2008). How do expert soccer players encode visual information to make decisions in simulated game situations? Research Quarterly for Exercise and Sport, 79(3), 392–398.

    Google Scholar 

  • 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: Past, present, and future (pp. 205–236). Rotterdam: Sense Publishers.

    Google Scholar 

  • Rivera, F. (2007a). Accounting for students’ schemes in the development of a graphical process for solving polynomial inequalities in instrumented activity. Educational Studies in Mathematics, 65(3), 281–307.

    Article  Google Scholar 

  • Rivera, F. (2010b). There is more to mathematics than symbols. Mathematics Teaching, 218, 42–47.

    Google Scholar 

  • Skemp, R. (1987/1971). The psychology of learning mathematics: Expanded American edition. Hillsdale, NJ: Erlbaum.

    Google Scholar 

  • Taussig, M. (2009). What do drawings want? Culture, Theory, & Critique, 50(2–3), 263–274.

    Article  Google Scholar 

  • Tucker, J. M. (2010). A lesson on the slopes of perpendicular lines. Mathematics Teacher, 103(8), 603–608.

    Google Scholar 

  • Wise, M. N. (2006). Making visible. Isis, 97, 75–82.

    Article  Google Scholar 

  • Zimmermann, W., & Cunningham, S. (1991). Visualization in teaching and learning mathematics. MAA Notes Series 19. Washington, DC: Mathematical Association of America.

    Google Scholar 

  • Mitchell, W. (1994). Picture theory: Essays on verbal and visual representation. Chicago, IL: University of Chicago Press.

    Google Scholar 

  • Galison, P. (2002). Images scatter into data, data gathers into images. In B. Latour, & P. Weibel (Eds.), Iconoclash: Beyond the image wars in science, religion, and art (pp. 300–323). Cambridge, MA: MIT Press.

    Google Scholar 

  • Shin, S. (1994). The logical status of diagrams. New York: Cambridge University Press.

    Google Scholar 

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

    Google Scholar 

  • Presmeg, N. (1991). Classroom aspects which influence use of visual imagery in high school mathematics. In F. Furinghetti (Ed.), Proceedings of the 15th International group for the psychology of mathematics education (Vol. 3, pp. 191–198). Assisi, Italy: PME Committee.

    Google Scholar 

Download references

Acknowledgment and Dedication

I wish to express my gratitude to the National Science Foundation (NSF) that provided funding for me to engage in longitudinal classroom work from 2005 to 2010 (under NSF Career Grant #0448649). Results that are reported in this book are all mine and do not reflect the views of the foundation. This book is dedicated to the students and teachers in my 2005–2010 study.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Ferdinand D. Rivera .

Rights and permissions

Reprints and permissions

Copyright information

© 2011 Springer Science+Business Media B.V.

About this chapter

Cite this chapter

Rivera, F.D. (2011). Introduction. In: Toward a Visually-Oriented School Mathematics Curriculum. Mathematics Education Library, vol 49. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-0014-7_1

Download citation

Publish with us

Policies and ethics