Why Sal Khan't: On Learning by Making but Teaching by Telling
100 points - today at 3:59 PM
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> Now⊠how does Sal Khan want my kid to learn?
> Watch a video.
I find this a little uncharitable. I learned a lot of math at a young age from Sal Khan's early videos (back when he used to erase by switching to a black pen and scribbling across the entire screen) and, to put it in the author's terms, it served as an easy-to-digest scaffolding on top of which to build a deeper understanding. I don't think Khanacademy ever sold itself as a magic learning resource that removes the need to work out problems yourself.
This article appears to focus on the chat bot which I have not used and was not part of my experience. At the time, I had a subscription to Wolfram Alpha that was helpful if I got stuck on an intermediary step.
The high level of goal of the post which is directed at asking good questions raises a point that seems valid to me.
As anyone whoâs met Sal will attest, this characterization is incredibly off the mark.
The author extrapolated from the product as opposed to understanding the person and how the product came to be the way it is.
(I use the flipped classroom approach extensively. But the legal profession being the eager embracers of novelty that we are </sarcasm>, I refer to the approach as "enhanced Socratic method," given that Socratic method was something we all endured in law school.)
The basic flipped-classroom approach â the Thayer Method â was used at West Point for over 150 years for math and engineering courses: Students study textbooks in advance. In class, they work on problems on chalkboards. The professor moves from chalkboard to chalkboard, coaching the students in real time. [1]
(I do basically the same thing with my contract-drafting students: In small groups, the students do drafting exercises using online whiteboards. I lurk on my laptop, quietly coaching in person as needed.)
[0] https://bokcenter.harvard.edu/flipped-classrooms
[1] https://flippedlearning.org/syndicated/avoiding-flipped-lear...
[0] https://direct.mit.edu/books/book/5138/Teaching-MachinesThe-...
I remember minimal videos (3-13 min, usually 5-8), and then exercises drilling the techniques until you understand it and don't make mistakes. If you got a perfect score (no mistakes whatsoever), you went a little faster.
That's learning by doing, or am I wrong? Or are there no exercises for things other than math?
I think there is a simple reason why AI tutors are not terribly successful.
AI is just not good enough yet, they are only just now capable of performing tasks, getting them to do those tasks involves a degree of careful guidance and the ability to handle frustration calmly and rationally.
Those things require a high motivation to have the task done.
They are not the properties you want in a tutor, a few students have the drive to learn in conditions that are not ideal. They are a small minority.
What you need is a AI that has a deep enough understanding of the ideas behind the metals it teaches and is engaging witty and charismatic enough to get that information across to a student.
When it has those abilities there will be a lot of parents that won't want it to have access to their kids.
Here's a presentation that, kind of claims the opposite. More specifically, it claims figuring it out on your own is not as good as having a teacher tell you, and then having you use the info, and it claims to be backed up by research
I also donât think he ever purports to be âall you needâ to learn.
It reminds me of the people who criticize Duolingo because you canât actually reach perfect fluency through their app--like wasnât it always obvious that it was never meant to be the only education you need; wasnât it always obvious that you need to actually _speak_ a language to learn it? And yet itâs still a great app that has helped millions of people learn languages.
Maybe we should focus only on having AI for the correcting/internalizing part instead? A purely deterministic grader and problem creator creates an endless stream of problems and solutions. The LLM's job is just to help you get to the point that you can assign a random problem from this problem set and the student will be able to answer it without assistance. Hopefully the teachers lecture at the beginning of class helped with understanding as well (I suspect that it would), and also provides a more broad "theory of mind" about what we are doing than the myopic LLM's "Let's get you solving this problem" does. Also, humans are social creatures, and being taught by another human being (even if it were less efficient) is likely beneficial to most people.
tldr; Normal human teacher, deterministic grading to gauge progress, and LLM assistants to help the student get to the point that they can pass the deterministic grading.
Think less science and more a conversation; establishing syntactic and semantic ground rules for the speakers grasp of a behavior relative to problem.
It's not necessarily about teaching something concrete. It's about teaching a social style in an abstract way. It's discussing a painting or piece of music, in math the symbols used to represent possible number/geometry generators.
I never just watch the videos. I rewrite what is written out. To recreate the song and dance so to speak.
Pragmatically speaking life is just performance art. Only a few specific realms of science move the needle for humanity; biological health maintenance (across all contexts; housing, food, not just medical) and our research in energy infrastructure.
Everything else is just one's relative outcome. Result of their sensory experience. Feels like this should be obvious at this point.
The studies that show brain activity goes down as we use AI. Yeah. So? Is it great to stimulate ourselves so much with ultimately arbitrary content our biology immediately tries to forget due to entropy? Heart attacks are up in <60 crowd relative to last generation. Constant interaction with flame wars and tabs v spaces (functional languages and Nix or gtfo!) computer config wars level inanity is not good Bob.
And the essay's premise is: this man wants your child to watch a video.