Page 241 - A Mind For Numbers: How to Excel at Math and Science
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Terrence Deacon, author of The Symbolic Species, notes the inherent complexity of the
                  encryption/decryption problem of mathematics:
               “Imagine back when you were first encountering a novel kind of mathematical concept, like recursive
                  subtraction (i.e., division). Most often this abstract concept is taught by simply having children learn a
                  set of rules for manipulating characters for numbers and operations, then using these rules again and
                  again with different numbers in hopes that this will help them ‘see’ how this parallels certain physical
                  relationships. We often describe this as initially learning to do the manipulations ‘by rote’ (which is in
                  my terms indexical learning) and then when this can be done almost mindlessly, we hope that they will
                  see how this corresponds to a physical world process. At some point, if all goes well, kids ‘get’ the
                  general abstract commonality that lies ‘behind’ these many individual symbol-to-symbol and formula-
                  to-formula operations. They thus reorganize what they already know by rote according to a higher-order
                  mnemonic that is about these combinatorial possibilities and their abstract correspondence to thing
                  manipulation. This abstraction step is often quite difficult for many kids. But now consider that this
                  same transformation at a yet higher level of abstraction is required to understand calculus.
                  Differentiation is effectively recursive division, and integration is effectively recursive multiplication,
                  each carried out indefinitely, i.e., to infinitesimal values (which is possible because they depend on
                  convergent series, which themselves are only known by inference, not direct inspection). This ability to
                  project what an operation entails when carried out infinitely is what solves Zeno’s paradox, which seems
                  impossible when stated in words. But in addition to this difficulty, the Leibnizian formalism we now use
                  collapses this infinite recursion into a single character   or the integral sign) because one can’t actually
                  keep writing operations forever. This makes the character manipulation of calculus even less iconic of
                  the corresponding physical referent.
                     “So the reference of an operation expressed in calculus is in effect doubly-encrypted. Yes, we’ve
                  evolved mental capacities well-suited to the manipulation of physical objects, so of course this is
                  difficult. But math is a form of ‘encryption,’ not merely representation, and decryption is an intrinsically
                  difficult process because of the combinatorial challenges it presents. This is why encryption works to
                  make the referential content of communications difficult to recover. My point is that this is intrinsic to
                  what math is, irrespective of our evolved capacities. It is difficult for precisely the same reason that
                  deciphering a coded message is difficult.
                     “What surprises me is that we all know that mathematical equations are encrypted messages, for
                  which you need to know the key if you want to crack the code and know what is represented.
                  Nevertheless, we wonder why higher math is difficult to teach, and often blame the educational system
                  or bad teachers. I think that it is similarly a bit misplaced to blame evolution.” (Personal communication
                  with the author, July 11, 2013.) 9 Bilalić et al. 2008.
               10 Geary 2011. See also the landmark documentary A Private Universe, available at
                  http://www.learner.org/resources/series28.html?pop=yes&pid=9, which led to much research into
                  misconceptions in understanding science.
               11 Alan Schoenfeld (1992) notes that in his collection of more than a hundred “videotapes of college and
                  high school students working unfamiliar problems, roughly sixty percent of the solution attempts are of
                  the ‘read, make a decision quickly, and pursue that direction come hell or high water’ variety.” You
                  could characterize this as focused thinking at its worst.
               12 Goldacre 2010.
               13 Gerardi et al. 2013.
               14 Hemispheric differences may sometimes be important, but again, claims in this area should be taken with
                  caution. Norman Cook says it best when he notes: “Many discussions in the 1970s went well beyond the
                  facts—as hemisphere differences were invoked to explain, in one fell swoop, all of the puzzles of human
                  psychology, including the subconscious mind, creativity, and parapsychological phenomena—but the
                  inevitable backlash was also exaggerated” (Cook 2002, p. 9).
               15 Demaree et al. 2005; Gainotti 2012.
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