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| * [[Grammar Spelling model LibreOffice and Firefox models 260214]] — Local AI models | | * [[Grammar Spelling model LibreOffice and Firefox models 260214]] — Local AI models |
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| == Spaced Repetition & Active Recall == | | == Learning Techniques == |
| | | * [[Spaced Repetition and Active Recall]] |
| The science behind effective flashcard-based study using tools like [https://apps.ankiweb.net/ Anki].
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| * [https://github.com/Comfac-Global-Group/comfac-studies Comfac Studies] — Flashcard decks and study resources | |
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| === 1. Atomization (The Minimum Information Principle) ===
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| Atomization is the process of breaking down complex information into the smallest, most irreducible units possible. In Anki, this means adhering strictly to the rule: '''One question, one answer.'''
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| '''Why is it necessary?'''
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| * '''Prevents False Positives:''' If a flashcard asks you to list five causes of the French Revolution and you only remember four, do you mark the card as "Pass" or "Fail"? Atomization eliminates this ambiguity.
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| * '''Pinpoints Memory Failures:''' When a concept is broken into five separate cards, Anki's algorithm can identify exactly which specific detail you are forgetting and schedule it accordingly, without making you over-review the parts you already know.
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| * '''Faster Review Speeds:''' Reading and answering a heavily loaded card takes significant cognitive load. Atomized cards take seconds to answer, keeping you in a state of flow.
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| '''Example of Atomization:'''
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| '''Bad Card:''' What are the functions of the liver? ''(Answer: Detoxifies blood, stores glycogen, produces bile, synthesizes proteins).''
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| '''Atomized Cards:'''
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| * What organ is responsible for detoxifying blood? ''(Answer: Liver)''
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| * Where in the body is glycogen primarily stored? ''(Answer: Liver)''
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| * What fluid does the liver produce to aid in digestion? ''(Answer: Bile)''
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| === 2. Active Recall (The Testing Effect) ===
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| Atomization only works if the cards force your brain to work. [https://en.wikipedia.org/wiki/Active_recall Active recall] is the act of retrieving information from your brain without looking at the source material.
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| Reading a textbook or highlighting notes is passive; your brain recognizes the information but isn't strengthening the neural pathways required to retrieve it later. Every Anki card must be a test that forces retrieval to leverage the [https://en.wikipedia.org/wiki/Testing_effect testing effect].
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| === 3. Spaced Repetition and the Forgetting Curve ===
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| Once you have atomized facts and test them via active recall, you need to time when you test them through [https://en.wikipedia.org/wiki/Spaced_repetition spaced repetition].
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| In the late 19th century, Hermann Ebbinghaus discovered the [https://en.wikipedia.org/wiki/Forgetting_curve Forgetting Curve], which shows how information is lost over time when there is no attempt to retain it. Spaced Repetition Systems (SRS) like Anki counter this by interrupting the forgetting curve right before you are likely to forget a fact. Each successful recall flattens the curve, allowing the intervals between reviews to grow exponentially (e.g., 1 day, 3 days, 10 days, 1 month, 1 year).
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| === 4. Desirable Difficulty ===
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| Coined by psychologist Robert A. Bjork, "[https://en.wikipedia.org/wiki/Desirable_difficulty desirable difficulty]" suggests that learning should be hard—but not too hard.
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| * If a card is '''too easy''', you aren't strengthening the memory.
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| * If a card is '''too hard''' (often because it wasn't atomized properly), you get frustrated and fail to learn.
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| Properly atomized cards hit the sweet spot of desirable difficulty. They require a quick, sharp mental effort to retrieve the answer, maximizing retention.
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| === 5. Comprehension Before Memorization ===
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| A common trap in Anki is trying to memorize things you do not understand. Anki is primarily a '''retention''' tool, not a '''learning''' tool.
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| If you try to atomize a complex physics equation or a philosophical concept without first grasping the underlying logic, you are just memorizing meaningless strings of text. Always build a mental model of the topic first, and then use Anki to atomize and memorize the components of that model.
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| === 6. Context Independence vs. Memory Interference ===
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| When you atomize information, you remove it from its original context (the textbook chapter, the lecture).
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| * '''Context Independence:''' A good Anki card should make sense completely on its own, years after you created it. You may need to add brief context tags to the card (e.g., instead of asking "What is the capital?", ask "What is the capital of Australia?").
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| * '''Interference:''' This happens when two atomized cards are too similar, and you start confusing their answers. To solve this, you must look for the distinct differences between the overlapping concepts and create cards that specifically highlight those differences.
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| [[Category:Research]] | | [[Category:Research]] |
| [[Category:Technology]] | | [[Category:Technology]] |
| [[Category:Exploration]] | | [[Category:Exploration]] |
Research
Technology exploration, emerging tools, and development notes.
Civilization Infrastructure
Open source technologies for rebuilding civilization infrastructure.
Local AI & LLMs
Locally-hosted large language models and AI tools.
System Research
Operating system and computing architecture studies.
Learning Techniques
