There's a problem with making a statement like that and not following it up with what you need to do gain the needed "maturity". Even adding "maybe you should take this course over here and come back to this one in a semester..." could make a world of difference.
[1] https://chhaylinlim.wordpress.com/2014/09/24/average-iq-per-...
[2] Assuming gaussian distribution with no skew, which is probably a bad assumption, but I'm spitballing here. Suffice to say math departments at elite colleges have many extremely bright people.
There's a small sadness in this but I can't word it out perfectly.
ps: I mean I would understand very much that these people just want "new buddies to play hyperstimulating math games with no drag whatsoever" but from school I expect just a few pointers. The rest is on me (us).
edit:
In any case the resulting intermediate distribution from selection criteria bias would be a Chi distribution (I think - it has been a while.) 5 standard deviations on a normal distribution is 175 IQ or top 1/700K which is insane.
A few additional biases, Physics majors have higher average IQs, and not everyone smart enough to do the math has the desire or the opportunity.
The point I was making is that IQ score has been normalized, when imagining the intermediate distribution of IQ it would make more sense to look at composite probabilities of factors that led to the IQ score and consider the probability that those same factors lead to a sufficient innate ability in math.
Are you arguing that it is actually skewed towards some cutoff point of "just smart enough to get the medal"?
That would be distributed according to the distribution of the maximum of N Gaussian-distributed random variables, and according to this[0] stack overflow answer, it's skewed downwards, below its mean. (Its mean, of course, is much higher than the mean IQ+Luck).
[0] https://math.stackexchange.com/questions/2105921/pdf-for-min...
That's a huge assumption. I could easily propose a half dozen other models each with a different conclusion. You would need to look at the data.
There isn't a skew per se but possible inflation that gp intended to account for. See Flynn Effect.
Also, the math classes all had a shared policy of "you can work with anyone you like on a problem set, as long as everyone's name is listed on there when you hand it in." I loved that, and I did all my problem sets in groups while I was there, and I think I learned more because we were always explaining things to each other and arguing about solutions. I heard a rumor at one point that this policy was the direct product of Peter May's bad experience at Princeton, which required students to work alone when he was there.
TFA does seem like a pretty stinging indictment of Princeton's math department.
I studied at the VU, where Andy Tanenbaum, writer of a ton of famous CS books teaches. Of course I followed his classes. His books are excellent, but his classes are basically him reciting his books from memory. The jokes are literally identical.
At some point, more and more of his classes would be taught by Maarten van Steen instead; he's an excellent teacher who really knows how to engage the students and make them think about problems, instead of merely telling them the answer.
There was another professor who, as far as I know, didn't do any research at all; he just taught a ton of classes.
A professor who is great at one thing is not necessarily good at something else.
I don't think that that is an introductory course.
As an example: you'd reasonably expect a student with mathematical maturity to know what a set, the Cartesian product of two sets, and a function are. That's high school level math.
From there you can define a ring and a module over a ring, in like 5 mins.
So at that point the Prof, strictly speaking, told you everything you need to know to start studying modules.
Of course, many students will be like whaaaaaa?! When a ring is defined. But here's the point: Mathematical maturity does not mean that you already know what a ring is, but when the Prof defines a ring, you are following along.
Anyway, my point is that there is nothing specific that you need to know.
Some people are better with math than others. Undergrad math majors thought the major was pretty easy. Many of us in engineering majors--who weren't that bad at math (it was a good school)--could no more have graduated with a degree in math (or physics) than have flapped our arms and flown.
Any good definition of mathematical maturity would likely be so technical that you need mathematical maturity to understand it.
Most colleges have classes designed to foster mathatical maturity, but that is done by how the class is taught, not what is taught in it.
It didn't help that I went to uni at 24 IIRC while I was working my ass off, so I wasn't that happy to put up with the BS.
Calling it gatekeeping seems like a fish complaining that the birds are gatekeeping the sky. The sky is open for anyone, but only if you have wings to fly.
It also usually helps if it's an interesting problem...
This wasn't even really intentional discouragement, but it was perceived as such. Hopefully, you learned the higher lesson.
I think where the fruit of this discussion may be is deciding to what degree an authority figure like a professor has a responsibility or an obligation to their students and advisees to make themselves clear which way they intend their statements to be interpreted. Personally, this begets a discussion of the nuances between the obligations and responsibilities of communication between (1) strangers, (2) peers/colleagues, and (3) authority figures and their charges.
I, very briefly and quite honestly, attended a lower tier state school that was an absolute joke. Shortly after I started, there was an outreach program for local high school kids where if they showed a high school ID, they got admission for the upcoming year. The head of my dept dismissed it and quipped, "It's ok. Anyone that wasn't meant to be here will just drop out after a year anyway and we have their money."
I, thankfully, ended up at a much bigger P5, well-known university. One of the controversies was the engineering departments were trying to get as many students as possible to the point of exceeding infrastructure and admitting lower quality students into the program. Upperclassmen I talk to said, "that's why everyone hates <1st semester math for engineers> and <2nd semester math for engineers>. They immediately weed out those that don't qualify."
"Weeding out" is what college admissions should be doing, not the departments. When the departments weed someone out, they've wasted at least a year of their life and a year in tuition, and demoralized them.
This is what really the "college for everyone" mentality has led to. If the kid shouldn't be there, or should have started in junior college first, we need to be more upfront about that earlier.
Admissions can't weed people out, they can only copy the weeding that highschool has done. If you rephrases the question that way, as in, "should highschool teachers be responsible for college admissions," then the idea of letting people join a major they haven't proven themselves capable of doesn't sound so bad after all.
LOTS of non-math-major science/engineering students face that problem as soon as they start grad school.
It's a consequence, IMHO, of math curriculums failing to focus on the fundamentals rigorously enough. There's too much focus on what we used to call "plug-n-chug" mathematics where students learn just enough to apply formulae to get their problems solved. It might seem like "just enough" but it ends up pushing out higher mathematics and keeps students from being able to apply more advanced mathematical concepts that they would have gained from a much deeper dive into Real Analysis, abstract algebra, differential geometry, etc, and the grind of the theorem-proof cycles. Many of us felt this right away upon taking graduate level courses.
I wish that I had been counseled to take additional math courses before (or even at the beginning) of grad school. It would have reduced my suffering A LOT and I would have gotten more out of the degree.
As a lecturer, I've had several job interviews where half of the questions were some variety of "are you ok to put up with having way too many students and not enough time?". I had the luxury of not having to take these jobs, but obviously someone ended up taking them.
4 hours a night 6 days of week and I got a C. Less the 25% made it to end. Don’t think many of remaining passed.
Got a lot out of it though.
At least at my university, the reason that such classes have a high failure rate is that the university is incentivized to have high enrollment numbers by admitting students who do not have the background to succeed at college mathematics at the level of calculus or above, and so need some pre-calculus courses; but someone who does not have a solid grounding in pre-calculus mathematics will often struggle to learn it when it is taught at a rapid pace at the college level—especially by professors most of whose teaching experience is with college-level math.
I took a bit more math in college. It wasn't easier; the professor simply kept pace with the material. If you needed help, you had to go to a TA or the professor out of class hours (an option that wasn't really available for a high school setting).
I can easily imagine that many students who were exposed to college level math for the first time in one of those courses would flounder and drop out (though I didn't witness much of it myself).
I guess its possible to learn stuff from a course you fail, but you should be able to find a course that you're likely to pass and learn something from?
However, for non-STEM and non-Business majors college algebra is rarely a prerequisite for any other courses so you can still continue your major without it, you do need to pass a math course before graduating though. They also have other math courses that can be used that aren't college algebra and may be easier.
Of those who failed : ¼ retook the course, ¼ pivoted to the bussines-CS program (given by the CS department) , ¼ pivoted to bussines-IT (given by the business and management school) and as far as I know, the rest disappeared from the university.
No, it's usually basics like functions, graphs, and trigonometry. It's basically a remedial class for what students didn't learn in highschool.
Like this stuff isn't particularly complicated, I'm not a very good teacher but I did teach some undergrad seminars during my PhD and I think even my worst students were capable of understanding functions, graphs and trig.
One of them told me one day "I don't understand graphs." I tried but it's impossible at that point to make up for an apparent total lack of at least high school level arithmetic/math.
Also state universities are where most of the public school teachers and administrators trained, so they probably deserve a little of the blame for the state of public schools.
If you were doing a PhD you were at the kind of university that has a PhD programme. Probably it was one of the 200 or so US universities out of a thousand that are selective, rejecting more students than they accept. I doubt there was a single student in your seminar who wasn’t in the top 30% by academic aptitude of their age group.
> According to the U.S. Department of Education, 54% of adults in the United States have prose literacy below the 6th-grade level.
https://en.m.wikipedia.org/wiki/Literacy_in_the_United_State...
"4 hours a night 6 days of week and I got a C. Less the 25% made it to end. Don’t think many of remaining passed.
Got a lot out of it though."
Actually is abstract algebra and not highschool level. Nobody teaches remedial classes in such a way that only 25% make it to the end.
I had a similar experience - and while it was a blow to my confidence I’m happy that he didn’t tiptoe around it with feel-goodisms. What I was doing as a student, and what had ben successful so far, was not working and doing more of it or doing it harder wasn’t going to help.
Honestly leaving that program was the right thing to do, I probably shouldn’t have been in it, though I’m confident a few years later I would have been successful, but I lacked the maturity and mathematical sophistication to get it then.
What a clueless, absolute piece of shit..
Clearly he lacks the emotional maturity to deal with students (or just people in general) and unequivocally should be fired as a teacher and restricted to doing research.
Or if you had the maturity to accept criticism like an adult.
What I mean to say is that this issue stems from your misunderstanding of the meaning of the word “mature” and nothing else.
A teacher who doesn't know you will not know if you're not smart enough or just didnt study hard enough, and probably doesn't care much, especially for an undergrad. For a phd student, they may care if they think they've identified a "diamond in the rough" that can be turned into a gem with some work, but that is quite a bit beyond basic linear algebra.
Fascinating, it sounds like "MM" is tacit knowledge, which begs the question why it isn't explicitly taught.
In mathematics, mathematical maturity is an informal term often used to refer to the quality of having a general understanding and mastery of the way mathematicians operate and communicate. It pertains to a mixture of mathematical experience and insight that cannot be directly taught. Instead, it comes from repeated exposure to mathematical concepts. It is a gauge of mathematics students' erudition in mathematical structures and methods, and can overlap with other related concepts such as mathematical intuition and mathematical competence. The topic is occasionally also addressed in literature in its own right.
I'm not claiming that my response was entirely rational or measured. I'm not blaming the professor, and I'm not justifying my own reaction. I was just saying what my reaction was, in case it shows a pattern of student experiences that's worth addressing.
Stubbornness, tenacity and self-belief are useful skills for success - perhaps you gave up too quickly? Unfortunately, soft skills are very rarely taught well. We all rely upon our subconscious learning and a good amount of luck to gain necessary skills, and those skills are often learnt by osmosis while very young. I also think the meta-skill of being able to teach yourself soft skills is not common either and it - although we can make an effort to improve that meta-skill even though it is somewhat self-referential.
I remember attempting a grad class called "Hard problems in combinatorial optimization". I was struggling so I asked the professor for advice on getting my footing in the class.
His answer was that I may just not have the "mathematical maturity" for the material. I was so discouraged that I dropped out of the program.
What I didn't realize at the time was the particular meaning of that term. His advice was well intended and accurate.
But what I heard was that I was hopeless in this topic area because I wasn't smart enough.
So much pain could have been avoided if we just extended the conversation by a few minutes, or he invited me for a discussion over coffee.