Tracking is generally considered to be a horribly regressive idea, one for evil conservatives. It thus warms my heart that Hacker, having endorsed tracking in chapter 8, uses chapter 9 to endorse progressive "Discovery Mathematics" ideas. Not my cup of tea, but I appreciate when people break out of dichotomies.
Wednesday, April 6, 2016
Tuesday, April 5, 2016
Chapter 8: Now we are on track
Finally, I think Hacker makes one absolutely essential point: As much as we resist tracking, when we make a high school diploma contingent on algebra and geometry we are tracking some people to not attain a basic credential. That is a real cost that a lot of people pay. There might be fine arguments to insist on algebra anyway (personally, I think everyone should be required to try algebra), but we need to confront the bigger questions here. This really deserves a book of its own.
The Math Myth, Chapter 7: This should have been a 3-part series of articles, not a book
I get all of that, but he starts going too far in some of his assertions. Yes, I'm going to nitpick, but I'm nitpicking because he's tossing out a lot of things largely to fill space. His basic point could have been made, explored, defended, and extended in a 3-part series of articles in a high-profile venue, and it probably would have gotten more attention while including fewer irrelevant and inaccurate asides.
On page 112 he says that mathematicians have done such a bad job of articulating the real value of their subject that 2013 only 730 US citizens got PhDs in math. There's much to say about how academic disciplines have failed to articulate the true value and beauty of their disciplines to the captive audiences in intro classes, but I don't know that we need to complain about "too few" PhDs. Elsewhere in the chapter he was complaining that intro math is often taught by low-paid and low-status part-timers. Well, over-production of graduate degrees is one of the key economic factors underpinning that model. The applied mathematicians tend to get industrial jobs, but the pure mathematicians are produced in greater numbers than the academic job market can absorb into full-time positions.
He also argues that many math courses for non-mathematicians should be taught by non-mathematicians. I will grant that a course on numeracy or "basic statistics for voters" might be better taught by a social scientist than a pure mathematician. And certainly science and engineering departments do tend to have their own mathematical methods courses on topics specific to their disciplinary needs. However, I think it would be a mistake to not have any of this done by mathematicians. An engineering department doesn't know in advance which of their students will go on to careers where they are end-users of signal processing software (where they might not need to know lots of theoretical detail) and which will go on to careers where they develop signal processing algorithms (where they will most assuredly need lots of theory). A physics department doesn't know in advance which of their students will go on to careers where they mostly characterize materials in the lab (where they will certainly need a lot of quantitative reasoning but might not need lots of eigenfunction expansions), which will become a professional theoretician (a rare path, but one that needs theory, by definition), and which will be the applied physicist who develops the algorithms for more efficient software in that materials characterization lab (where they will need theory). So a certain amount of exposure to the thought processes of mathematicians is an important aspect of a broad education.
As is so often the case with 200 page books sold to a broad audience, Hacker has a reasonable basic point but is over-reaching to fill space without diluting his message. I'm coming to hate this genre of books.
Monday, April 4, 2016
The Math Myth, Chapter 6: Has he never heard a "STEM vs. Humanities" debate?
In Chapter 6, I think Hacker is trying too hard. He starts by going after a common argument: That learning math is good for your overall intellect, and in some way unique to math, some way that other disciplines don't possess. I will agree with him that mathematical thinking is simply one way of thinking and not THE way of thinking. However, when he tries to claim that nobody makes a similar argument for humanities, he goes too far. Has he never read any of the numerous essays on how studying humanities makes you a broad-minded critical thinker, unlike those nasty, narrow STEM disciplines? There's a lot to be valued in humanities and social science, but let's not pretend that they don't get in on the "We're the REAL smart people" game.
On the other hand, I like his point about how mathematics, unlike some academic disciplines, can thrive even under despotic regimes. I don't consider that a BAD thing about math--I think it's great that there are some wonderful, beautiful areas of inquiry that even tyrants do not try to eradicate. But it also tells us something about how unthreatening many areas of STEM are for those in power. We might do well to ask ourselves why that is.
Sunday, April 3, 2016
Next book: The Math Myth and Other STEM Delusions by Andrew Hacker
Saturday, April 2, 2016
Haidt, final chapter
I haven't had a lot to say about Haidt's book because most of it hasn't touched on the themes that I want to explore in this blog. I will just touch on two things from the last chapter:
1) Empirical work has shown that liberals have more misconceptions about conservatives than conservatives have about liberals. This might sound suspicious, if you only think about the most fire-breathing conservative pundits that you have seen, but the world is mostly made up of normal people, not fire-breathing pundits. He spends much of the book explaining the differences between the moral intuitions of the left and right, and shows that the left has a small set of eminently rational moral intuitions, while the right has basically the same intuitions but also supplements them with some notions that you either find defensible or don't find defensible. Consequently, conservatives can (on average) liberals better than liberals can understand conservatives.
I am so, so, SOOOO tempted to extrapolate this to things that I observe in the faculty lounge, but I think that social class and a rather unusual set of professional experiences do more to explain the clueless attitudes of academics than their partisan biases. That isn't to say that Haidt's findings on political psychology aren't relevant (I'm sure they are) but I doubt they're the only factor.
2) On page 336, Haidt makes a great comment about teaching: When he decided to start doing research on political psychology, he decided that the only way to learn the subject was to teach a class on it. So true. So, so true.