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How do you actually get good in messy, real world domains? This tag covers practice, pedagogy design, theories of expert cognition, and the very cutting edge of expertise research.
I relocated for a three month expertise acceleration experiment in Judo. These are my notes from two months in: what I learnt, what was hard, and what deliberate practice actually feels like.
Professor Rand Spiro on why (and how!) business cases are more important to learn from than synthesised business concepts.
What a question about growth marketing tells us about expertise — and why expert-novice differences are so useful to probe if you're a practitioner.
If you read history for concept instantiations, then: a) how do you hunt for cases for each concept, and b) how do you identify new concepts from the history you read? We look at answers to both questions.
Learning from history is often problematic — history is context and path dependent, and it doesn't repeat itself. But what if there is a better way to read history, one that sidesteps these problems?
Good news: we have a neat, universal milestone on the journey to mastery. What that looks like, and how to use it.
Mentor relationships can be absolutely wonderful over the arc of a career. This is a simple way to think about finding and keeping good mentors.
Cognitive Flexibility Theory: the caveats. Also: a look at kind vs wicked learning domains, and what this tells us about building expertise in messy, real world domains.
What happens if cases are more important than principles in your domain? Some non-obvious implications.
What Cognitive Flexibility Theory tells us about the acceleration of expertise in ill-structured domains.