The Greatest Educational Life Hack: Learning Math Ahead of Time
Learning math ahead of time offers academic protection, better grades, and career opportunities. Pre-learning advanced math enhances real-world applications and career success without adverse effects on students' well-being, fostering continuous development.
Read original articleLearning math ahead of time can be a powerful educational strategy, offering protection against academic risks and unlocking various career opportunities. By pre-learning math material before taking classes, students can secure better grades, avoid pitfalls like fast-paced lectures or poorly explained concepts, and open doors to internships, research projects, and recommendations. Advancing beyond calculus to higher-level math courses can provide a competitive edge in fields like math, physics, engineering, and economics, leading to early career advancement and increased accomplishments. Contrary to focusing solely on competition math, mastering advanced math subjects like linear algebra and differential equations is more beneficial for real-world applications and career success. Research supports the idea that educational acceleration, including learning math early, does not have adverse effects on students' psychological well-being and can lead to enhanced academic achievement and creativity. Accelerating learning based on mastery of prerequisites is crucial for students' continuous development and engagement in lifelong learning.
Related
There's more to mathematics than rigour and proofs (2007)
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Why do we still teach people to calculate?
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Michel Talagrand: Advice to Young Mathematicians (2024) [video]
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Lots of People in Education Disagree with the Premise of Maximizing Learning
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- Many commenters agree that pre-learning math can provide significant academic advantages and make classroom learning easier.
- Some highlight the challenges and inequities, noting that this approach often requires resources and support that not all students have access to.
- Several comments emphasize the importance of practical application and interest-driven learning over rote memorization or competition math.
- There is a debate on whether early math learning is universally beneficial or if it primarily serves those pursuing specific academic or career paths.
- Some suggest that the educational system needs reform to better support diverse learning needs and reduce reliance on external tutoring and pre-learning.
I'm in my 30s and getting a bachelor's degree in Math now after a lifetime of math-phobia. Math was my worst subject because it never came easily or naturally to me, and so I assumed I must have been innately incapable of it. I didn't take a single math class during my first bachelor's degree.
I sure wish I could have learned math properly earlier in life, but my point with this comment is that it is never too late to learn math.
Learning mathematics "late" over the last couple of years has enriched my life in so many ways. Learning to write proofs has brought a sense of organization and calm to many other areas of my life. Complex problems and challenges in life feel so much more approachable, because I am much more skilled now in breaking down tasks to manageable components. I can see now how mathematics has influenced programming languages and computer science, and every time I can identify the mathematical underpinning of some program I use or write, I feel like I am peering into the heart of the universe.
Learning math early is a great hack, but so is learning math late :)
I did it one summer, and while I was nowhere near as good as them - something magical happened: even though I hadn't understood all the concepts, my ability to understand the concepts during the class went way up. It was easier to follow what the teacher was saying since no concept was totally new to my mind.
> A student can wrestle with a competition problem for long periods of time, and all the teacher needs to do is give a hint once in a while and check the student’s work once they claim to have solved the problem.
Wrestling with a problem for long periods of time is not just a convenience for the teacher, it is a skill that will serve students well for decades to come. Sitting with a problem that you don’t know how to solve for hours, trying various approaches, failing and failing and trying again, is a life skill that learning calculus two years early won’t teach you.
Many of the tactics used in competition problems are also useful in general quantitative situations: identifying symmetries, invariant quantities, properties that can only increase under perturbations.
In many ways it skews the ratings of the schools because they can be lazy and not teach as well...but still show great school average scores, since so many kids are already enriching externally. Before you know, the school is just a motion and the real learning is at home. I suppose it is idealistic to think teachers "should" teach well, of course, since in reality not all do.
But then again, that's really difficult to actually do. For anyone who grew up surrounded by resources, that might sound like a really easy and obvious suggestion. "Just listen to the tutors your parents bought for you." But for the students who can't afford books for this year's classes, you might as well be telling them to "just grow wings and fly, it's not hard".
Me personally, I knew plenty of people who did this, learned a year ahead so they looked extra good in class. Most of them had parents who had PhDs, paid their rent for them, and explained what problems they were going to face far ahead of time. For the students who leave class and go to work to pay their own rent and then go back to campus to study and do research at night, this is not very helpful advice. Like so many educational "one simple tricks", the unspoken prerequisite is "just be born rich".
More even than pre-teaching, I would encourage any parent to very actively be involved to ensuring that their child maintains a reasonable comfort with math throughout their study, and to the extent possible, pitch in to help those gaps beyond "passing" or doing "ok" in class, but to earnestly try to see if their child is comfortable. The reality is schools will very frequently PASS your child and given them fine enough grades, but I would argue that it is oftentimes almost orthogonal to how comfortable your child genuinely feels with what they've learned.
I asked if she found them difficult. She quipped, "If you already know the math, it's just nomenclature."
The book explains a topic concisely and then gives exercises. Importantly, the exercises don't assume previous knowledge and you can solve them by applying previous explanations. Highly recommended!
I work in science and often work with highly skilled people from China and India. Theses people are much better in applied math than I ever was, but somehow my erratic highly derivative style of problem solving is at least as good at getting the job done and I am much better in thinking out of the box than most of them.
It seems insincere to frame this as math is important, and earlier > later without focusing on what this means, or the opportunity costs. Could we just do a global search & replace on 'math' with 'literature' and end up in the same place?
I believe that whatever little "edge" that gave me in learning math in school compounded exponentially over the years. I always felt "ahead" of the standard school curriculum, and that created a virtuous feedback cycle of success, which bred confidence, which bred success, and so forth.
Just a little nudge here or there at home can make a big difference.
The article's pretty good on why institutionalized education doesn't like students who are seriously ahead in learning math. (Or any other subject.)
But it's pretty much silent on the self-discipline and self-study skills (or parent-paid tutors) required, to seriously learn math years ahead. And the former are probably far better indicators of long-term success than the early math skills are.
I hugely regret this.
1. I didn’t find it that interesting, and so I don’t feel like I got much out of it. 2. I found later that I learn math much better when I can “hang” the ideas off practical examples. For example, I learned math for the sake of understanding deep learning far better than I ever understood math before.
Ultimately, I think it’s far more important to study something that interests you, and to learn the tools you need as you go.
Assuming that is true, but that there is still a significant benefit to attending a good university - in terms of connections, social experiences, status etc. - should we maybe strive to decouple the university experience from course enrolment - e.g. make it easier for people who have pre-learned the content, to prove their competency and essentially jump directly into a free-form experience similar to grad school?
It would be nice IMHO to see a more hybrid approach at Universities to teach math and application at the same time. It's strange to send students through YEARS of math classes without strong application. It's like learning music theory without playing an instrument.
Our academic system in general is still modeled after old-school institutions, based on textbook-style learning that all pretty much follow the same recipe. Is it not crazy that we have classrooms in this day and age with 300 students sitting in desks listening to a single professor? It's insane.
We are ripe for an educational system that is truly disruptive - especially with the rise of AI systems.
Learning math, just so you can learn it again is quite pointless!
Much better hack is to skip academia completely, and go self educated. No debt, no pointless extra classes, no risk of being misaccused, no politics! You can even move to cheaper country, with nice weather, to have better environment for studying!
This is very true, especially now. So many families, at least in the competitive places like the Bay Area, push their kids to spend enormous amount of time on AMC, AIME, and etc. Other than viewing competition math as a way for their kids to get into elite universities, they often think that doing competition math as a way to be really good at math and they can cite many examples kids who are good at competition math also would have a bright career. Unfortunately, they got it backwards: kids who are naturally good at maths will like do well in competition math (think about Schulz or Terence Tao), but really not the other way around. For people like me, who have limited talent on maths, focusing on learning higher math and the associated essential problem-solving techniques will have a much higher return on investment.
Also, this really shows how the incentives in "education" are deeply misaligned with the way we talk about it. At least in the US, the point of education seems to be mostly gating outcomes and sorting people. Learning is incidental and game theory suggests it's better to never take a class that's truly new material for you, because getting a bad grade can harm you, but learning something new isn't captured at all
Ok, I get the principle but learning multiple years worth of university math is starting to sound unrealistic? I understand learning something in advance to have an easier time, but this is almost the same as finishing a degree before starting it.
Kind of a dick statement
Each paperback book costs less than $20 on Amazon.
Well, yeah, of course.
But this is basically the "draw the rest of the horse" meme.
What about any discussion of how to learn the material in advance, why self-guided learning is better than course-driven learning, or just how to prioritize advanced learning with everything else going on in your life.
Why is this on the front page today?
Need is the key here in my opinion. Kids usually don't like math unless there is a need for math for something they do like.
This definitely created a lot of tension along the years. He just couldn't understand why people don't like learning Math, and I just couldn't understand why I couldn't watch TV every night. LOL.
So, here's my hot take (which probably isn't terribly original): Compulsory school math should end before algebra, and the rest of the curriculum should be taught the same way (or better) to how we teach art or music.
If you need advanced math for your career, teach advanced algebra or calculus as needed. At the very least this will force post-secondary schools to be honest about how prepared students are leaving secondary school. Right now, it "those people's fault" for how poorly prepared for advanced math most kids are.
Basic math literacy is incredibly important. But being able to solve quadratics or discover geometric proofs is colossally unimportant to 98% of humanity and it's importance can usually be determined based on personal interest in a career. Let's be honest with ourselves that most people well and truly will never need advanced math. Exposed kids to it as a fun game or art form, not a tool that they will never use.
Should learning to use a belt sander be an educational requirement to move from 9th to 10th grade? No, no it should not.
> The Greatest Educational Life Hack: Learning Math Ahead of Time (justinmath.com)
worked for me, can work for a lot of people, and is a good idea.
Partly:
(1) One way to win a 100 yard dash is to start running half way to the finish line and have no one object. The US educational system will usually overlook something like that starting half way to the finish line.
(2) Reasons: (a) The system assumes that their teaching is crucial and that no student really can learn on their own, i.e., the student didn't actually start half way to the finish line. (b) The system so wants more good students that they will overlook the evidence that the student was ahead at the start of the class. But, research in math mostly requires working alone directly from original papers, and working from a highly polished text is usually much easier -- so profs learn on their own, and students can too.
(3) Generally in math, independent study can work well. Basically for each lesson, (a) study the text, (b) work most of the exercises, especially the more challenging ones, and check the answers in the back of the text (need a suitable text or just get the book for teachers), and (c) in a quiet room, lean back, relax, and think a little about what the value, purpose, content of the lesson was, say, be able to explain it to someone who never studied math.
(3) So, take calculus in high school. And visit, call, whatever, and see what the popular college calculus texts are, get one or two of those (used can be a lot cheaper), and before college have worked hard on both the high school course and the college text(s). Then in college, right, take calculus, likely from a text have already done well in. So, will likely be one of the best students in the class. Then will get a good reputation that can be valuable.
(4) Will be ahead, so continue this way and stay ahead.
(5) Next math course, say, modern, abstract algebra, i.e., set theory, groups, fields, Galois theory, elementary number theory, maybe a start on linear algebra.
Next, linear algebra, maybe the most important and useful course. Work through a popular text that is relatively easy. Then work carefully through one or two of the classics, e.g., Halmos, Finite Dimensional Vector Spaces.
Likely next, "Baby Rudin", W. Rudin, Principles of Mathematical Analysis, calculus and somewhat more done with depth and precision. See the roles of open and closed sets, closed and bounded sets, i.e., compact sets, continuous functions, the powerful results of continuous functions on compact sets, Fourier series.
Advanced calculus, i.e., partial derivatives and Stokes formula.
Analysis, e.g., the real part of W. Rudin, Real and Complex Analysis, Lebesgue's alternate and nicer way to define integration (in short, partition on the Y axis instead of the X axis), the Fourier integral, Banach space, Hilbert space, the Radon-Nikodym theorem (can be used for grand approaches to information, Bayes Rule, the Neyman-Pearson result in best statistical hypothesis testing, and with von Neumann's proof based just on polynomials is charming, ...).
More, e.g., differential equations, probability, statistics, stochastic processes, optimization, complex analysis, number theory, whatever.
One consequence: Will learn how to write math. Too often people who don't know advertise that they don't know much math.
At some point in business, some of that math might be valuable. E.g., current AI uses steepest descent via calculus and optimization, linear algebra, and hypothesis testing.
This isn’t a life hack. This is the sign of a failing system. Jesus fucking Christ.
"Outliers: The Story of Success" ( Malcolm Gladwell, 2011 )
i.e. the curriculum lesson plans naturally evolve to exclude individuals that don't need introductory lessons, because they are on average 3 years ahead of their peers by the time they enter undergraduate programs.
The kids that need to "catch-up" in introductory Math/English material are no longer failed/held-back a year in some municipalities, but rather given a remedial curriculum over the summer. If those kids parents can afford to put them through an early tutorial program, than excluding the "poor kids" from a seat at the more lucrative faculties is rather guaranteed.
https://www.youtube.com/watch?v=qEJ4hkpQW8E
Mind you explaining to privileged kids why they _get_to_ attend additional instruction can be difficult. As social media normalizes lack of impulse control, and rewards group-think biases. Our little ingrates think they can con/hack their way through life, as some fool on the web is telling them to take the easy path.
Some university kids that rely on student visa programs to access the US immigration process, will get desperate and try to outright cheat their way through a Bachelor of science degree. The real scandal is some folks get 50% of the final problems from $18.74 USD gray market course manuals out of HK, as many institutions must structure their exams this way for credit-transfer compatibility. The myth of natural talent deteriorates further with some fraternities also gaming the system to out-compete the rest of the student body when possible. Indeed, some people do hack/cheat their way to a better life using underhanded tactics, and are rarely held accountable. Some places are even removing the barrier where one needs to be fluent in English.
You are probably still thinking this can't be right, and seats for becoming a physician/pharmacist/lawyer are open to anyone. Yet I can assure you that while the faculties will take your money, the probability of getting into a Masters/Doctorate level program quickly drops while you worked hard to catch up... Note your GPA took the hits along the way.
People need to recognize there is a subtle yet important difference between intelligence and academic performance. No one ever claimed life was fair, but the hypocrisy of many meritocrats can be intolerable at times.
Stealing Einsteins chalk does not make one Einstein... but does silence talent.
Have a great day, =3
Related
There's more to mathematics than rigour and proofs (2007)
The article explores mathematical education stages: pre-rigorous, rigorous, and post-rigorous. It stresses combining formalism with intuition for effective problem-solving, highlighting the balance between rigor and intuition in mathematics development.
Why do we still teach people to calculate?
Conrad Wolfram promotes modernizing math education by integrating computers, problem-solving emphasis, and adapting to technological advancements. His innovative approach challenges traditional methods to better prepare students for real-world challenges.
Work Hard (2007)
The article stresses hard work in mathematics over relying on intelligence or waiting for "Eureka" moments. It emphasizes detailed understanding, research, quality work, and enjoying the process for success.
Michel Talagrand: Advice to Young Mathematicians (2024) [video]
The YouTube video discusses the importance of dedication in mathematics, sharing a personal success story. It emphasizes autonomy in the field and the increasing demand for mathematicians in data analysis and AI.
Lots of People in Education Disagree with the Premise of Maximizing Learning
Justin Skycak highlights the importance of maximizing learning in skill domains like math, emphasizing talent development through intentional practice to meet increasing demands and excel in hierarchical skill areas.