As another comment suggested, this is pretty much the Khan Academy model up to and including YouTube videos.

That said, Khan Academy's execution is positively ancient. Videos can certainly be more concise. Vi Hart's YouTube channel is a fantastic example of what constitutes (in my opinion) the upper bounds of concise YouTube educational videos:

https://www.youtube.com/user/Vihart

Have you seen Metacademy? Here is a "tech-tree" for recurrent neural networks [0]. In the top-left corner you can switch between "graph" and "list" mode. Unfortunately, site hasn't been updated for some time. However, they have open sourced their code and I was thinking maybe we (volunteers) could pick up where they left off and continue this initiative. Previous discussion [2].

Edit: added previous discussion to the list.

[0] https://metacademy.org/graphs/concepts/recurrent_neural_netw...

[1] https://github.com/metacademy/metacademy-application

[2] https://news.ycombinator.com/item?id=7617683

This seems like an amazing concept and I have been thinking of it ever since I saw KhanAcademy knowledge tree.

I can see this being combined with Arbital's Lens (Same thing explained in multiple ways - from a simple explanation for a 10-year-old to a rigorous explanation for a mathematician)

I always considered this the best way to actually progress in my learning and I still see it as the next big thing after Wikipedia, once it's done correctly.

No I have not seen this, but it looks awesome and like a great place to start. This structure is pretty much exactly what I envisioned at a high level. It would be even more useful if there were a finer degree of granularity between concepts, and each vertex actually directly linked to a video. I think the killer feature for a partially ordered learning resource is going to be keeping people within the ecosystem (i.e. watching embedded videos or reading embedded articles/guides/etc.) so they can grind out on your website, not repeatedly have to go to other websites where they may get distracted or become reluctant to return to the original.

Really appreciate the links

The bigger problem in my mind (and I'm biased) is that these courses aren't designed to run together. They assume different knowledge and seemingly random levels of ability when you're taking them as one-offs. The hard part is mapping it all out and finding the holes. There's no continuity.

This is similar to what Khan Academy did back at the start of the application. There was a mathematics skill tree and you started at 1+1=2 and ended at the Stokes Theorem.

It worked well but was a bit overwhelming. The other challenge was that many skills were interconnected and so the progression wasn’t strictly linear.

Oh it's been a while since I checked it out. Sad to see that skill tree gone.

I've had a similar idea. Been gathering my notes on it here: https://github.com/ErikBjare/KnowTree/

I found the part of your repo saying " Googled around, found this (Swedish) which was interesting. Another datapoint to the claim that there's no such thing as a new idea. I should gather info from that blogger." and found it aptly ironic. Seems we all had the same idea.

When thinking about implementing such a concept, I ran into the same problem as you regarding the myriad different ways this could be represented or stored. Currently I think the best way is to create a hierarchy with the atomic units consisting of tuples of the form <concept name, description, video, article/guide, links and further reading>. Let these be vertices, then you can add directed edges representing dependencies to the graph so long as the graph remains partially ordered. Then you can just organize (potentially overlapping) subgraphs into ever-larger units such as tracks, courses, subjects, etc.