I made some flashcards in a space repetition program. I have some math concepts I'd like to have memorized. No matter how you use or abuse space repetition algorithms they ensure your study time is well spent (assuming flashcards are the right thing to be studying at all). You are still focused on cards you are least likely to have permanently learned. So what? The algorithm still achieves its purpose. Maybe you only review a few of those hundreds of cards that are due. The best way to deal with having hundreds of cards to review after a break is to shrug your shoulders and say "who cares". I wouldn’t be surprised if I end up doubling the number of books I’m reading at once, which would bring the average to around 1/month. Most of the books I’ve imported are 300-400 cards, so it’ll take about a year to work through each of them. The reviews give me an opportunity to spot details that seemed unimportant on a first reading but that foreshadow something that happens later.īeyond that, it’s driven by Anki’s normal scheduling algorithm these are subdecks of my general-review deck, so Anki will autumatically mix the new cards and reviews with any other reviews I have due. I import each book into its own deck set to show 1 new card per day (in the order added)- I want whatever mental connections are necessary to understand the next passage to end up in long-term rather than short-term memory. Successive cards contain some duplicated lines (5) to provide a sense of continuity between the cards, which are presented in a disjoint manner. I settled on 25 lines of text per card with one omitted word about 2/3 through the passage. In theory, as you become more familiar with the book’s style and subject matter, you should be able to pass the first review of an unseen passage most of the time. Instead of a knowledge quiz, which is how clozes are usually treated in the SRS world, this is an automated reading comprehension test- Just the thing for capturing the intangible benefits of reading literature. The original paper on cloze deletion uses them as a readability measure: Readers are given an unfamiliar text with blanks and are asked to guess the omitted words the percentage correct is then a measure of the text’s quality rather than the reader’s knowledge. This idea was actually born to combat review starvation: I haven’t been very active at adding new cards lately, and there was a risk that my daily review count would hit 0 for long enough that I’d stop checking regularly- I needed a source for lots of interesting but low-priority cards to keep the pump primed. I’m happy to ramble on about it here for a bit, though. This is still in the experimental phase, and I want to wait on a full writeup until it’s had sufficient time to prove itself and get the kinks worked out. Also, I think the "deadline" for when to review in spaced repetition isn't exactly accurate to the day or hour that something is due, so there's a little bit of malleability there, and I think that's okay. If you aim for perfection, you end up not meeting your high standards and may end up quitting. I think for me, it's more important when learning to aim for the long-term commitment to it than to be perfect each day in your studies. If you miss a few days, the cards still remain overdue, but when you return it doesn't feel bad. It's funny because I originally thought telling you how many were due each day would be a great motivator (at least for me), but I'm finding I actually don't care. When you do a lesson, it picks up the overdue cards first, but if there aren't any, it pulls in new cards instead. I later wrote my own flashcard app with spaced repetition and ended up hiding the details of what was overdue and instead just let you set up a daily goal of number of cards reviewed. I missed a few days and when I returned there was a pile of cards that needed review. I found that issue too when I tried Anki.
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