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Continuing in the project to blog the major topics in the Pre-Calculus curriculum (as I see them) brings us to finding the rational roots of polynomial functions.
The topics involved in studying the Rational Roots Theorem seem to me to fall into two major categories – polynomial factorization and the analysis of polynomial functions and their roots.
on why learning the times tables is hard:“Number sense” is a short-hand for our ability to quickly understand, approximate, and manipulate numerical quantities.This is pretty much Wayne Wickelgren
[snip]
My hypothesis is that number sense qualifies as a biologically determined category of knowledge. I propose that the foundations of arithmetic lie in our ability to mentally represent and manipulate numerosities on a mental “number line”, an analogical representation of number; and that this representation has a long evolutionary history and a specific cerebral substrate.
[snip]
The hypothesis developed in TNS [The Number Sense
[snip]
Here I shall only discuss one example, the memorization of the multiplication table. Why is it so difficult to learn the small number of single-digit multiplication facts? Leaving out multiplications by 0 and by 1, which can be solved by a general rule, and taking into account the commutativity of multiplication, there are only 36 facts such 3x9=27 that need to be learned. Yet behavioral evidence indicates that even adults still make over 10% errors and respond in more that one second to this highly overtrained task.
What I think is happening is that our intuition of quantity is of very little use when trying to learn multiplication. Approximate addition can implemented by juxtaposition of magnitudes on the internal number line, but no such algorithm seems to be readily available for multiplication. The organization of our mental number line may therefore make it difficult, if not impossible, for us to acquire a systematic intuition of quantities that enter in a multiplicative relation. (This hypothesis is supported by the fact that patients can have severe deficits of multiplication while leaving number sense relatively intact; in particular, patient NAU (Dehaene & Cohen, 1991), who could still understand approximate quantities despite aphasia and acalculia, was totally unable to approximate multiplication problems). In order to memorize multiplication facts, we therefore have to resort to other strategies based on nonquantitative number representations. The strategy that cultures throughout the world have converged on is to acquire multiplication facts by rote verbal learning. That is, each multiplication fact is recited and remembered as a rote phrase, a specific sequence of words in the language of teaching. This is still a difficult task, however, because the 36 facts to be learned all involve the same number words in slightly different orders, with misleading rhymes and partial overlap. Error analyses indeed indicate that interference in memory is the most frequent cause of multiplication error. When we err, say, on 7x8, we do not produce 55 or 57, which would be close matches, but we typically say 63, which is the correct multiplication result of the wrong operation, 7x9 (Ashcraft, 1992; Campbell & Oliphant, 1992).
It can be argued that our memory never evolved to acquire a lot of tightly inter-related and overlapping facts, as is typical of the multiplication table. Our long-term semantic memory is associative and content-adressable: when cued with a specific episode, we readily retrieve memories of related contents based on the semantic similarity. In particular, we generalize approximate additions based on numerical proximity. Hence, we can readily reject 34+47=268 as false, even though we have never been exposed to this particular fact, because our representation of quantity immediately allows us to recognize that the proposed quantity, 268, is too distant from the operands of the addition (Ashcraft & Battaglia, 1978; Dehaene et al., 1999). In the case of exact multiplication, however, the organization of memory by proximity is detrimental to performance. It would be desirable to keep each multiplication fact separate from the others ; yet our memory is designed so that, when we think of 6x7, we co-activate 6x8 and 5x7. In summary, our cerebral organization can explain both why exact multiplication facts are so confusing and difficult to learn, and why approximation and understanding of quantities are highly intuitive operations.
Précis of “The number sense”
Stanislas Dehaene
INSERM U.334
Service Hospitalier Frédéric Joliot
CEA/DSV
4 Place du Général Leclerc
91401 cedex Orsay
's explanation as to why it's difficult to memorize the times tables.
Among households with dangerous wells (arsenic content higher than 50 (in some units)), we predicted whether a household switches wells, given two predictors:
- distance to the nearest safe well;
- arsenic level of their existing well.
The data were consistent with the model that people weight “distance to nearest safe well” linearly but weight “arsenic level” on the log scale. As we discuss in our book, this makes psychological sense: distance is something you perceive directly and linearly, by walking (it takes twice as much time and effort to walk 200m as to walk 100m), whereas arsenic level is just a number and, as such, going from 50 to 100 seems about the same, psychologically, as going from 100 to 200 or 200 to 400–even though, in reality, that last jump is four times as bad as the first (arsenic being a cumulative poison).
Two of Washington D.C.'s most splendid institutions -- the Board of Governors of the Federal Reserve System and the Capitol Hill Baby Sitting Co-operative -- are currently fighting their own separate battles against the scourge of inflation. Neither seems to be winning.I love this!
Whatever the lessons of the board's experience, the lessons from the co-op's are clear. (1) The co-op has been increasing its money supply ("scrip") per capita, by running budget deficits, and this has generated inflationary forces. (2) However, the main "commodity" this scrip money buys is baby-sitting time, and the price of baby sitting is constitutionally pegged at one unit of scrip for every one-half hour of baby sitting. Hence, this system of price controls means the inflationary pressure does not drive up the scrip-price of baby sitting, inflation is suppressed, and shortages are found. (3) The political process of rectifying the situation holds little hope. Few members see the problem as fundamentally monetary, but instead believe others are not doing their part in removing the shortages.
Monetary Theory and the Great Capitol Hill Baby Sitting Co-op Crisis: Comment (pdf file)
Author(s): Joan Sweeney and Richard James Sweeney
Source: Journal of Money, Credit and Banking, Vol. 9, No. 1, Part 1 (Feb., 1977), pp. 86-89
There’s a joke I’ve heard various neighbors make somewhat self-consciously since we moved into our house five years ago that our “neighborhood schools” are all located in other neighborhoods. And while I haven’t actually done any sort of scientific survey, that does kind of seem to be the case. What I mean is that I don’t personally know one single person who has moved into our neighborhood in order to do the whole live-in-the-cool-urban-neighborhood-in-a-cool-old-house thing who sends his or herchildren to the public schools for which we are actually zoned. Instead, their kids attend various private schools in our community, or the parents have managed to get transfers so their kinds can attend public schools in “nicer” parts of town. I do know several people who have children who were accepted in to the public elementary magnet school that’s not too far away from our neighborhood, but even then, that’s not the same as attending OUR neighborhood’s public schools.
