It's interesting that the comments on this post are split in terms of whether they interpret the focus to be on math or on deeply. It's also worth noting that the term "deeply" has many different connotations. Stephen Chew, whom you link to, is using deep learning in the sense of learning something by pondering its meaning and associations. But it's very much possible for an unsophisticated to learn something deeply in the Chewish sense without acquiring a conceptual understanding of it that has transferable value. For instance, one might "deep learn" the product rule for differentiation:
(fg)' = f'g + fg'
by saying "each function gets its turn with being differentiated, and then we add up the products." This is reasonably generalizable (for instance, it generalizes to products of more than two functions, and also to product-like settings in multivariable calculus) but it doesn't necessarily help with deep conceptual understanding of the rule. On the other hand, the somewhat deeper understanding the product rule for differentiation using the chain rule for partial differentiation (see here) actually helps provide a deep sense of why the result is true.
Now, my example above in some sense disproves my claim. The reason being that the Chewish deep learning of the product rule: "each function gets it chance at being differentiated, and then we add up" -- is actually not that far off from the conceptually enlightening explanation based on the chain rule for partial differentiation. So perhaps it is true that attempting Chewish deep learning, without actually having a deep conceptual understanding, enables one to generally get quite close to the correct conceptual understanding.
I've been wondering how useful it is for the typical academically strong high schooler to learn math deeply. Here by "learn deeply" I mean "understanding the concepts and their interrelations" as opposed to learning narrow technical procedures exclusively.
My experience learning math deeply
When I started high school, I wasn't interested in math and I wasn't good at my math coursework. I even got a D in high school geometry, and had to repeat a semester of math.
I subsequently became interested in chemistry, and I thought that I might become a chemist, and so figured that I should learn math better. During my junior year of high school, I supplemented the classes that I was taking by studying calculus on my own, and auditing a course on analytic geometry. I also took physics concurrently.
Through my studies, I started seeing the same concepts over and over again in different contexts, and I became versatile with them, capable of fluently applying them in conjunction with one another. This awakened a new sense of awareness in me, of the type that Bill Thurston described in his essay Mathematics Education:
I understood the physical world, the human world, and myself in a way that I had never before. Reality seemed full of limitless possibilities. Those months were the happiest of my life to date.
More prosaically, my academic performance improved a lot, and I found it much easier to understand technical content (physics, economics, statistics etc.) ever after.
So in my own case, learning math deeply had very high returns.
How generalizable is this?
I have an intuition that many other people would benefit a great deal from learning math deeply, but I know that I'm unusual, and I'm aware of the human tendency to implicitly assume that others are similar to us. So I would like to test my beliefs by soliciting feedback from others.
Some ways in which learning math deeply can help are:
Some arguments against learning math deeply being useful are:
I'd be grateful to anyone who's able to expand on these three considerations, or who offers additional considerations against the utility of learning math deeply. I would also be interested in any anecdotal evidence about benefits (or lack thereof) that readers have received from learning math deeply.