Abstract
The collective case study described herein explores solution approaches to a task requiring visual reasoning by students and teachers unfamiliar with such tasks. The context of this study is the teaching and learning of calculus in the Palestinian educational system. In the Palestinian mathematics curriculum the roles of visual displays rarely go beyond the illustrative and supplementary, while tasks which demand visual reasoning are absent. In the study, ten teachers and twelve secondary and first year university students were presented with a calculus problem, selected in an attempt to explore visual reasoning on the notions of function and its derivative and how it interrelates with conceptual reasoning. A construct named “visual inferential conceptual reasoning” was developed and implemented in order to analyze the responses. In addition, subjects’ reflections on the task, as well as their attitudes about possible uses of visual reasoning tasks in general, were collected and analyzed. Most participants faced initial difficulties of different kinds while solving the problem; however, in their solution processes various approaches were developed. Reflecting on these processes, subjects tended to agree that such tasks can promote and enhance conceptual understanding, and thus their incorporation in the curriculum would be beneficial.
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Abdullah, N., Zakaria, I., & Halim, L. (2012). The effect of a thinking strategy approach through visual representation on achievement and conceptual understanding in solving mathematical word problems. Asian Social Science, 8(16), 30–37.
Alcock, L., & Simpson, A. (2004). Convergence of sequences and series: interactions between visual reasoning and the learner’s beliefs about their own role. Educational Studies in Mathematics, 57, 1–32.
Alsina, C., & Nelsen, R. B. (2006). Math made visual: Creating images for understanding mathematics. New York: The Mathematical Association of America.
Arcavi, A. (2003). The role of visual representations in the learning of mathematics. Educational Studies in Mathematics, 52(3), 215–241.
Arminio, J. L., & Hultgren, F. H. (2002). Breaking out from the shadow: The question of criteria in qualitative research. Journal of College Student Development, 43(4), 446–460.
Cunningham, E. (1994). Some strategies for using visualization in mathematics teaching. ZDM—The International Journal on Mathematics Education, 26, 83–85.
Davis, R., & Vinner, S. (1986). The notion of limit: Some seemingly unavoidable misconception stages. Journal of Mathematical Behavior, 5, 281–303.
Dehaene, S., Piazza, M., Pinel, P., & Cohen, L. (2003). Three parietal circuits for number processing. Cognitive Neuropsychology, 20, 487–506.
Dehaene, S., Spelke, E., Stanescu, R., Pinel, P., & Tsivkin, S. (1999). Sources of mathematical thinking: Behavioral and brain-imaging evidence. Science, 284, 970–974.
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. 25–37). Washington, DC: Mathematical Association of America.
Eisenberg, T., & Dreyfus, T. (1994). On understanding how students learn to visualize function transformations. CBMS Issues in Mathematics Education, 4, 45–68.
Furinghetti, F., Morselli, F., & Antonini, S. (2011). To exist or not to exist: example generation in real analysis. ZDM—The International Journal on Mathematics Education, 43, 219–232.
Gardiner, A. (1982). Infinite processes: Background to analysis. New York: Springer.
Giaquinto, M. (2007). Visual thinking in mathematics: An epistemological study. Oxford: Oxford University Press.
Glaser, B. G., & Strauss, A. L. (1967). The discovery of grounded theory: Strategies for qualitative research. New York: Aldine.
Guba, E. G., & Lincoln, Y. S. (1994). Competing paradigms in qualitative research. In N. K. Denzin & Y. S. Lincoln (Eds.), Handbook of qualitative research (pp. 105–117). Thousand Oaks: Sage.
Guzman, M. (2002). The role of visualization in the teaching and learning of mathematical analysis. In Proceedings of the international conference on the teaching of mathematics (at the undergraduate level). Greece: Hersonissos (ERIC Document Reproduction Service No. ED 472 047).
Haciomeroglu, E. S., & Aspinwall, L. (2007). Problems of visualization in calculus. In T. Lamberg & L. R. Wiest (Eds.), Proceedings of the 29th annual meeting of PME-NA (pp. 120–123). Reno: University of Nevada.
Hadamard, J. (1945). The mathematician’s mind: The psychology of invention in the mathematical field. Princeton: Princeton University Press.
Harel, G., & Sowder, L. (1998). Students’ proof schemes: Results from exploratory studies. In A. H. Schoenfeld, J. Kaput, & E. Dubinsky (Eds.), Research in collegiate mathematics education III (pp. 234–283). Providence: American Mathematical Society.
Hershkowitz, R., Arcavi, A., & Bruckheimer, M. (2001). Reflections on the status and nature of visual reasoning—the case of the matches. International Journal of Mathematical Education in Science and Technology, 32(2), 255–265.
Hitt, F. (Ed.). (2002). Representations and mathematics visualization. PME-NA Working Group (1998–2002). Mexico City: Cinvestav-IPN.
Hoffkamp, A. (2011). The use of interactive visualizations to foster the understanding of concepts of calculus: design principles and empirical results. ZDM—The International Journal on Mathematics Education, 43, 359–372.
Hoffman, D. D. (1998). Visual intelligence: How we create what we see. New York: Norton.
Konyalioglu, A. C., Ipek, A. S., & Isik, A. (2003). On the teaching of linear algebra at the University level: the role of visualization in the teaching of vector spaces. Journal of the Korea Society of Mathematical Education Series D: Research in Mathematical Education, 7(1), 59–67.
Lakoff, G., & Núñez, R. (2000). Where mathematics comes from: How the embodied mind brings mathematics into being. New York: Basic Books.
Lincoln, Y. S., & Guba, E. G. (1985). Naturalistic inquiry. Beverly Hills: Sage.
Mancosu, P., Jørgensen, K., & Pedersen, S. (2005). Visualization, explanation and reasoning styles in mathematics. New York: Springer.
Mudaly, V. (2010). Thinking with diagrams whilst writing with words. Pythagoras, 71, 65–75.
Natsheh, I. (2012). The role of visualization in teaching and learning mathematics in the Palestinian educational system. Submitted PhD dissertation, Hebrew University of Jerusalem.
Presmeg, N. C. (1986). Visualization and mathematical giftedness. Educational Studies in Mathematics, 17, 297–311.
Presmeg, N. C. (2006). Research on visualization in learning and teaching mathematics. In A. Gutiérrez & P. Boero (Eds.), Handbook of research on the psychology of mathematics education: Past, present and future (pp. 205–235). Rotterdam: Sense Publishers.
Rivera, F. (2011). Toward a visually-oriented school mathematics curriculum: Research, theory, practice, and issues. Dordrecht: Springer.
Rivera, F. (2013). Teaching and learning patterns in school mathematics: Psychological and pedagogical considerations. Dordrecht: Springer.
Sierpinska, A. (1987). Humanities students and epistemological obstacles related to limits. Educational Studies in Mathematics, 18, 371–397.
Souto-Rubio, B. (2012). Visualizing mathematics at university? Examples from theory and practice of a linear algebra course. In Proceedings of ICME-12 (pp. 695–714), Seoul, Korea.
Stake, R. E. (1995). The art of case study research. Thousand Oaks: Sage.
Stake, R. E. (2006). Multiple case study analysis. New York: Guilford.
Strauss, A., & Corbin, J. (1990). Basics of qualitative research: Grounded theory, procedures and techniques. London: Sage.
Stylianou, D. A., & Dubinsky, E. (1999). Determining linearity: The use of visual imagery in problem solving. In F. Hitt & M. Santos (Eds.), Proceedings of the 21st annual meeting of PME-NA (pp. 245–252). Columbus: ERIC/CSMEE.
Stylianou, D., & Pitta-Pantazi, D. (2002). Visualization and high achievement in mathematics: A critical look at successful visualization strategies. In F. Hitt (Ed.), Representations and mathematics visualization (pp. 31–46). Mexico City: Cinvestav-IPN.
Sword, L. (2000). I think in pictures, you teach in words: The gifted visual spatial learner. Gifted, 114(1), 27–30.
Tall, D. (1991). Intuition and rigor: The role of visualization in the calculus. In W. Zimmermann & S. Cunningham (Eds.), Visualization in teaching and learning mathematics (pp. 105–119). Washington, DC: Mathematical Association of America.
Tall, D., & Vinner, S. (1981). Concept image and concept definition in mathematics with particular reference to limit and continuity. Educational Studies in Mathematics, 12, 151–169.
Terao, A., Koedinger, K. R., Sohn, M.-H., Qin, Y., Anderson, J. R., & Carter, C. S. (2004). An fMRI study of the interplay of symbolic and visuo-spatial systems in mathematical reasoning. In K. Forbus, D. Gentner, & T. Regier (Eds.), Proceedings of the 26th annual conference of the Cognitive Science Society (pp. 1327–1332). Mahwah: Lawrence Erlbaum.
Thomas, G., Weir, M., & Hass, J. (2010a). Thomas’ calculus early transcendentals (12th ed.). Boston: Addison Wesley.
Thomas, M., Wilson, A., Corballis, M., Lim, V., & Yoon, C. (2010b). Evidence from cognitive neuroscience for the role of graphical and algebraic representations in understanding function. ZDM—The International Journal on Mathematics Education, 42, 607–619.
van Garderen, D., Scheuermann, A., & Poch, A. (2014). Challenges students identified with a learning disability and as high achieving experience when using diagrams as a visualization tool to solve mathematics word problems. ZDM—The International Journal on Mathematics Education, 46(1) (this issue). doi:10.1007/s11858-013-0519-1.
Van Nes, F. (2011). Mathematics education and neurosciences: towards interdisciplinary insights into the development of young children’s mathematical abilities. Educational Philosophy and Theory, 43(1), 75–80.
Vinner, S. (1989). The avoidance of visual considerations in calculus students. Focus on Learning Problems in Mathematics, 11(2), 149–156.
Whiteley, W. (2000). Dynamic geometry programs and the practice of geometry. http://www.math.yorku.ca/Who/Faculty/Whiteley/Dynamic.pdf. Accessed 3 Oct 2013.
Williams, S. (1991). Models of limit held by college calculus students. Journal for Research in Mathematics Education, 22, 219–236.
Yin, R. K. (2009). Case study research: Design and methods (4th ed.). Thousand Oaks: Sage.
Youssef, H., Nejem, M., Hamad, A., Saleh, M., Alia, M., Al-Jamal, M., et al. (2006). Mathematics for 12th Scientific Grade (parts 1 & 2). Ramallah: Curriculum Center, Palestinian Ministry of Education.
Zarzycki, P. (2004). From visualizing to proving. Teaching Mathematics and Its Applications, 23(3), 108–118.
Zazkis, R., Dubinsky, E., & Dautermann, J. (1996). Coordinating visual and analytic strategies: A study of students’ understanding of the group D4. Journal for Research in Mathematics Education, 27(4), 435–456.
Zimmermann, W. (1991). Visual thinking in calculus. In W. Zimmermann & S. Cunningham (Eds.), Visualization in teaching and learning mathematics (pp. 127–137). Washington, DC: Mathematical Association of America.
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We deeply thank Abraham Arcavi for sharing with us his wisdom and for his helpful and instructive comments on earlier versions of this manuscript.
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Natsheh, I., Karsenty, R. Exploring the potential role of visual reasoning tasks among inexperienced solvers. ZDM Mathematics Education 46, 109–122 (2014). https://doi.org/10.1007/s11858-013-0551-1
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DOI: https://doi.org/10.1007/s11858-013-0551-1