Memorization can be a useful part of mathematics, but that's more true of higher level courses where you might expend some effort in memorizing definitions to have them at hand to use in proofs.

But most of the time memorization is a side-effect of just solving lots of problems, which is the most effective way to learn mathematics in the same way that writing programs is the most effective way to learn programming.

I'd highly recommend Cal Newport's books on studying [0] and his older blog posts on effective study habits [1]. Barbara Oakley's Learning How to Learn course on Coursera is also excellent [2].

In your current context, I'd probably just focus on time management and consistently grinding problems in areas you don't find easy with things like Schaum's Problem books and Outlines. You could use software like Anki to schedule review of problems and concepts that you've solved or understood.

If you aren't constrained by time, you could also use the Art of Problem Solving books to rebuild your math foundation at a much deeper level [3].

[0] https://www.amazon.com/gp/product/0767922719?linkId=98a11bfd...

[1] https://calnewport.com/case-study-how-i-got-the-highest-grad...

[2] https://www.coursera.org/learn/learning-how-to-learn

[3] https://artofproblemsolving.com/store/list/all-products

There's a popular math book called Infinite Powers by Steven Strogatz which is about the story of calculus. It's really good and may help bring the subject to life as opposed to rote learning problems.

I’m in the exact same boat as solardev (non-traditional student, taking precalculus, relying on LLMs, getting good grades but not having any true understanding) and I came here to recommend this same book.

It’s a great supplement because it gives you a chance to understand the ‘why’ of things and not just the ‘how’. The writing style is neither too dry nor too watered-down. It feels like the piece that was missing from K-12 education.

On a side note, I’ve found the LLMs to be terrible at math, but insanely good at writing LaTeX. I’ve been using GitHub Copilot to speed up the rewriting of my class notes and I’m just gobsmacked at how accurately it can print out the steps to some calculation after feeding in the original problem.

Pre-calc mathematics can be a bit boring because it consists mostly of a lot of technicalities that aren't themselves super interesting. A lot of those technicalities are connected in ways that unfortunately become only apparent in much higher-level maths. So I can understand that it's a bit of a pain, but I also think that it gets better afterwards (at least on the conceptual level).

I'm a bit skeptical about the use of ChatGPT because it can be very off about maths. If it's something it has seen exactly like this in its training materials, it will get it right (e.g. it will spit out the correct quadratic formula). But if you ask it to solve a specific problem that it hasn't seen before with those exact parameters, it might be bogus. It could still help, but proceed with caution. For example, there's one part where you ask it why it multiplied by 4. Your question is wrong, because it multiplied by -4, but ChatGPT, always eager to please, doesn't correct you on that, instead it says: "Multiplying by 4 is equivalent to dividing by −0.25 because 1/-0.25 = -4" - which is self-contradictory.

There are also other services you could use for this, such as symbolab (which is rule-based), but I think it needs a subscription to see all the steps.

I would recommend actually reading the textbook. Or, if it's a boring textbook, try out other textbooks. People find different kinds of explanations intuitive / different styles of exposition engaging, so you can experiment. I think it would make it easier for you to retain the material because you would learn some of the why.

In mathematics, it's often a better strategy to understand something and be able to know what it's true, than to just memorise the result.

I've been considering paying for an LLM to augment my learning, for when I get stuck or can't figure something out.

In terms of courses I am looking at Khan Academy but also https://ocw.mit.edu/courses/18-01sc-single-variable-calculus... (haven't started so I cant speak for quality)

The LLMs completely changed education for me. Whether it's math or music theory or programming, I'd rank ChatGPT amongst the best teachers I've ever known. (There are amazing real-human ones too, but it's really hit and miss!). For $20/mo it's totally worth it, way cheaper than tutoring or buying more textbooks. But for infrequent use, probably the free plan is enough...?

I tried MIT OCW but found the videos too long and tedious... it's hard for me to just sit still and listen to videos like that for hours =/ I chose an in-person math class on purpose just to have that real community feel and a live teacher, but YMMV... probably many would prefer the online or async versions instead.

Would be very keen to know more about your learning experience and ideas to make it better. Would you be open to jump on a 15 mins call with me?

Hi! I'm probably not your target audience here, unless you're specifically developing a product that targets math education for midlife washouts, lol. But if you want some rando dude's opinion, sure, I'd be happy to jump into a call with ya. Just let me know and I'll find a slot on your Calendly.

But I think you'd get better feedback from someone who's actually in your target audience/user demographic :) I'm just an annoying grumpy gramps who hates math.

I'm actually building a tool in this space. Would you be open to jump on a 15 mins call with me and help shape the product? https://calendly.com/vel-yan/15min

There is a book, “how to ace calculus, the streetwise guide” that sounds a little gimmicky but is actually a bit entertaining to read. Looks like it can be had on thrift books or eBay for about $5. It helped me understand some of the concepts at a deeper level than math text books. The problem with math text books are they’re mostly written by mathematicians who seem to think different than the rest of us, so when they try to explain things it’s in a mathematician way.