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- Kajsa Bråting & Johanna Pejlare (2008). Visualizations in Mathematics. Erkenntnis 68 (3):345 - 358.In this paper we discuss visualizations in mathematics from a historical and didactical perspective. We consider historical debates from the 17th and 19th centuries regarding the role of intuition and visualizations in mathematics. We also consider the problem of what a visualization in mathematical learning can achieve. In an empirical study we investigate what mathematical conclusions university students made on the basis of a visualization. We emphasize that a visualization in mathematics should always be considered in its proper context.
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The last few decades have witnessed a broadening of the philosophy of mathematics, beyond narrowly foundational and metaphysical issues, and towards the inclusion of more general questions concerning "mathematical methodology" and "mathematical practice" (a development parallel to an earlier broadening of the philosophy of science). There is now widespread, and growing, interest in topics such as: concept formation and conceptual change in mathematics, the use of heuristics in mathematical research, the applicability of mathematics, and even sociological or anthropological questions concerning the mathematical community. Part of this broadening, although a part that remains relatively close to foundational and metaphysical issues, is the turn towards a "new epistemology" for mathematics. The latter includes the study of topics such as: the role of visualization in mathematics, the use of computers in proving mathematical theorems, and the notion of explanation as applied to mathematics.1 The present paper is a contribution to this new epistemology. More particularly, it is an attempt to bring into sharper focus, and to argue for the relevance of, two related themes: "structural reasoning" and "mathematical understanding". As the notion of understanding is vague and slippery in general, as well as very loaded in philosophical discussions of the sciences, the latter label has to be handled with care, though. It will have to be clarified what, if anything (or anything reasonably precise), is to be meant by "understanding" in connection with mathematics. Similarly, while talking about "structural" reasoning in mathematics may be suggestive, that term too requires further elaboration. My clarifications and elaborations will be tied to a specific historical figure and period: Richard Dedekind and his contributions to algebraic number theory in the nineteenth century. This is not an incidental choice; Dedekind's case is particularly pertinent in this context, as I also hope to establish in this paper. I will proceed as follows: In the first section, I will provide a brief summary of Dedekind's work on the foundations of mathematics, as well as of its usual perception in....
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In this article, I will discuss the relationship between mathematical intuition and mathematical visualization. I will argue that in order to investigate this relationship, it is necessary to consider mathematical activity as a complex phenomenon, which involves many different cognitive resources. I will focus on two kinds of danger in recurring to visualization and I will show that they are not a good reason to conclude that visualization is not reliable, if we consider its use in mathematical practice. Then, I will give an example of mathematical reasoning with a figure, and show that both visualization and intuition are involved. I claim that mathematical intuition depends on background knowledge and expertise, and that it allows to see the generality of the conclusions obtained by means of visualization.
Many scientific discoveries have depended on external diagrams or visualizations. Many scientists also report to use an internal mental representation or mental imagery to help them solve problems and reason. How do scientists connect these internal and external representations? We examined working scientists as they worked on external scientific visualizations. We coded the number and type of spatial transformations (mental operations that scientists used on internal or external representations or images) and found that there were a very large number of comparisons, either between different visualizations or between a visualization and the scientists’ internal mental representation. We found that when scientists compared visualization to visualization, the comparisons were based primarily on features. However, when scientists compared a visualization to their mental representation, they were attempting to align the two representations. We suggest that this alignment process is how scientists connect internal and external representations.
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