Thread by @ejames_c

If you want to build a cognitive flexibility theory 'learning network', it seems the Oxford Handbook of Expertise has a chapter on CFT with a short set of instructions.

The tl;dr seems to be —

1. Collect 10-20 'crossroad cases', which are cases that are densely packed with conceptual features core to the domain.
2. Mark up the concepts across this set (perhaps using tags or backlinks?)
3. Link back to crossroad cases when adding new cases.

4. At some point you will overlearn the crossroad cases and hit something called 'epitome mode', where a small distinctive part of a case will evoke the rest of the case.
5. You can then layer in more complex questions around the cases, like (cont.)

"Find surprising differences between cases that appear similar, and find surprising similarities between cases that appear different on the surface."

or

"How is Case A like Case B but not like Case C", building the nuances of expert understanding.

One interesting thing this approach seems to do is to help you resist the idea that there is JUST one cause, or to fixate on just ONE 'example case'.

I can totally see how this might be helpful when analysing companies, or when reasoning from historical business analogy.

Going to leave this here: these are abbreviated design notes from the same chapter in the Oxford Handbook of Expertise, based on four decades of hypermedia CFT learning systems.