The Cornell Note-Taking System
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The Cornell Note-Taking System
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Re: The Cornell Note-Taking System
#2I remember having these notes ingrained into my brain in middle school; at Ithaca, I didn't know a single person who actively used Cornell notes for note taking. That said, actively engaging and re-engaging with content will help you build better internal bodies of knowledge on the subject, so you'll retain the content long after prelims and finals.
Re: The Cornell Note-Taking System
#3Re: The Cornell Note-Taking System
#4I think it's worth learning how to use Anki instead. The key challenge there is selecting the right level of coarseness, so that it doesn't take forever. Even if you don't end up reviewing your cards, the act of synthesising information helps you learn it. Down the line you're able to encode important information in finer detail.
Contrary to what you might think, this method is especially useful for really difficult concepts (e.g. in math and physics). Sometimes you sit through a lecture and have no idea what's going on until you start doing the exercises. In these cases you might have to use memory as a crutch, to try to memorize the main ideas (or useful facts) to create the scaffold which you fill in later.
Re: The Cornell Note-Taking System
#5Any tips for taking meeting notes specifically?
Radical transparency by giving everybody access to this interface.
Awesome bullshit filter.
Re: The Cornell Note-Taking System
#6Any tips for taking meeting notes specifically?
Record everything, ML multi-speaker speech-to-text every conversation. Plug text input into company search engine. Radical transparency by giving everybody access to this interface. Awesome bullshit filter.
I honestly love this idea. Any suggestions on what FOSS tooling to use for said speech-to-text that's reasonably accurate? Or is training the ML the "heavy lift" of this setup?
Re: The Cornell Note-Taking System
#7Unfortunately it doesn’t look like there’s been as much research on specific methodologies (e.g. Cornell method), but it may also be the case that the methodology doesn’t matter at all, only that the strategies are employed.
I’m surprised it doesn’t mention the encoding and external storage paradigm, but https://www.cc-seas.columbia.edu/node/31875 has some additional context for anyone that wants some vocabulary and a very short “methods” and “strategies” document.
Re: The Cornell Note-Taking System
#8Earlier quoted context omitted.
Record everything, ML multi-speaker speech-to-text every conversation. Plug text input into company search engine. Radical transparency by giving everybody access to this interface. Awesome bullshit filter.
> ML multi-speaker speech-to-text every conversation I honestly love this idea. Any suggestions on what FOSS tooling to use for said speech-to-text that's reasonably accurate? Or is training the ML the "heavy lift" of this setup?
Re: The Cornell Note-Taking System
#9Any tips for taking meeting notes specifically?
Record everything, ML multi-speaker speech-to-text every conversation. Plug text input into company search engine. Radical transparency by giving everybody access to this interface. Awesome bullshit filter.
Neat idea, do you know of any software that's capable of taking an audio file and producing multi-user text from it? Seems like it would be useful in a wide variety of situations.
Re: The Cornell Note-Taking System
#10Any tips for taking meeting notes specifically?
* important points
* questions to ask, either during the meeting or afterwards. If it gets answered during the meeting, I put the answer under 'important points' and cross out the question.
* things for you to do after the meeting
* any commitments others take on which you want to keep track of
I do this by entering them on different areas of the page, others use different symbols at the beggining of the line (?, !, *, @).
As soon as I finish the meeting, I share the notes with everybody.