If there’s one thing I hope our students come away with after Lambda School it’s that they’ve learned how to learn. Once you have that figured out the world is your oyster.
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Thank you,
@AustenAllred ! I wouldn’t have understood the importance of this without LambdaThanks. Twitter will use this to make your timeline better. UndoUndo
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How does one create useful memories to enable one to solve problems in the future? Take for example a solution to a problem on coderbyte; if one were taking notes, what would one take notes on? A parallel question is how to best internalize existing code.
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A simple test is to ask: how would one practice? One can create isolation drills that practice one element: here is a solution, write the pseudocode in such detail so someone can implement the solution, or hand-simulate program execution.
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Either of the above exercises will have as a consequence, improving the ability to break down problems, because both force a person to deal with the many details that compose a solution, holding them in mind.
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But then also, it is useful to observe someone who is good at writing down the decomposition of problems, for example
@zellwkhttps://zellwk.com/blog/think/ -
In software development, I have only seen about four, maybe five, useful models of a structured problem solving process; and it is rare to see someone describe how prior experience/memories is one of the dominant influences, and how best to leverage that particular variable.
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The main gap is a lack of many worked problems of varying levels of complexity within a well described structured solution process (coderbyte is an example of that with respect to programming challenges). In essence, the autodidact has to play a game of "fill in the large gaps".
End of conversation
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