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Coursera: Learning How to Learn
111.70MB. 347 audio & 349 images. Updated 2020-01-17.
This item is large, and may take some time to download.
Description
This is a deck based on the course Learning How to Learn.
The course consists of 38 short lectures.
This deck of flashcards was originally constructed by taking snippets of audio and related screenshots from each of the lectures and constructing a card for each snippet with a link back to the original lecture. The famous 20 rules written by Dr. Piotr Wozniak were then applied to each card. These rules help design cards for a flashcard program that uses spaced repetition, such as Anki. As a result many of the cards were reduced to simpler cards. For those cards consisting of lists, memory tools were added to assist in remembering.
To use this deck, it is recommended that you 
Whereas, the default is:
Revisions
16/1/2020: Added a custom basic and cloze note type.
12/1/2020: Converted subdecks into tags.
Permission to use audio/images granted.
Please provide feedback below or to Maurice McCabe.
- become familiar with the 20 rules
- rework cards, as necessary, to fit your preferred learning style
- change Anki's default learning steps
- learn more about using Anki by reading the manual
Whereas, the default is:
Revisions
16/1/2020: Added a custom basic and cloze note type.
12/1/2020: Converted subdecks into tags.
Permission to use audio/images granted.
Please provide feedback below or to Maurice McCabe.Sample (from 426 notes)
Cards are customizable!
When this deck is imported into the desktop program, cards will appear as
the deck author has made them. If you'd like to customize what appears on
the front and back of a card, you can do so by clicking the Edit button, and
then clicking the Cards button.
| Front | When in focused mode, and stuck on a new problem, why is it difficult to come-up with new ideas and approaches, concepts that have not been thought of before? |
| Back | difficult to be creative |
| Image | A concept that has not been thought of before is symbolized here by this green-colored neural pattern towards the bottom of the pinball machine.
 |
| Audio | |
| Audio Text | Since you haven't thought that thought before, you don't even know how that pattern feels or where it is. So how are you going to develop that new thought in the first place? Not only do you not know where the pattern is or what the pattern looks like, but see all the rubber bumpers that are blocking your access whatever direction you decide to move in? |
| Source | https://www.coursera.org/learn/learning-how-to-learn/lecture/75EsZ/introduction-to-the-focused-and-diffuse-modes |
| Tags | Learning_How_To_Learn_-_Coursera::Week_1:_What_is_Learning?::Focused_versus_Diffuse_Thinking::Introduction_to_the_Focused_and_Diffuse_Modes |
| Text | {{c1::Neuromodulators}} are chemicals that influence how a neuron responds to other neurons. |
| Extra | |
| Image |
 |
| Audio | |
| Audio Text | |
| Source | https://www.coursera.org/learn/learning-how-to-learn/lecture/WNYPG/what-motivates-you |
| Tags | Learning_How_To_Learn_-_Coursera::Week_2:_Chunking::Seeing_the_Bigger_Picture::What_Motivates_You? |
| Text | {{c1::Dopamine}} is released when we receive an unexpected reward. |
| Extra | |
| Image |
 |
| Audio | |
| Audio Text | |
| Source | https://www.coursera.org/learn/learning-how-to-learn/lecture/WNYPG/what-motivates-you |
| Tags | Learning_How_To_Learn_-_Coursera::Week_2:_Chunking::Seeing_the_Bigger_Picture::What_Motivates_You? |
After the file is downloaded, double-click on it to open it in the desktop program.
At this time, it is not possible to add shared decks directly to your AnkiWeb account - they need to be added from the desktop then synchronized to AnkiWeb.
Reviews
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good dek baby
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appreciated efforts
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i like it
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Excellent!
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:)
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Very well-made deck. I like that it is so comprehensive and includes the teachers' faces – this makes it surprisingly more memorable (if you took the MOOC).
Regarding learning steps, I have fared very well with the following. It takes the same principle you propose, but more efficient
https://eshapard.github.io/anki/anki-learning-steps-with-feedback.html
edit: u/EpicClapton here. You said in your reddit post that you were reworking the deck to simplify the questions – to split-out each card into simpler cards.
Is there an update on that? :)
Regarding learning steps, I have fared very well with the following. It takes the same principle you propose, but more efficient
https://eshapard.github.io/anki/anki-learning-steps-with-feedback.html
edit: u/EpicClapton here. You said in your reddit post that you were reworking the deck to simplify the questions – to split-out each card into simpler cards.
Is there an update on that? :)
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Great!
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I really like the way the cards are formatted and done -- certainly a lot of work was put into developing this deck (including multimedia) and I heartily thank the author for sharing it.
The number of decks/sub-decks caused Anki to tell me I had too many decks but that is easily taken care of (if it bothers you) with the tools in Anki. I converted the sub-deck headings into abbreviated tags and then folded them all into one main deck I have already created for learning techniques and technology. As they say, YMMV.
The number of decks/sub-decks caused Anki to tell me I had too many decks but that is easily taken care of (if it bothers you) with the tools in Anki. I converted the sub-deck headings into abbreviated tags and then folded them all into one main deck I have already created for learning techniques and technology. As they say, YMMV.
Comment from author
This has been fixed as of 2020-1-12. Sub-decks have been converted into tags.
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Good work, it will help me to improve my learning of the concept in the course.
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A perfect refresher to an amazing course!
This will really drive the concepts in for long term memory, and deeper understanding.
This will really drive the concepts in for long term memory, and deeper understanding.
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Wow this is perfect.
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A great refresher for the course.