Which is really a shame, as the spacing effect itself is such an underrated aspect of human learning that it almost feels like cheating.
Which is really a shame, as the spacing effect itself is such an underrated aspect of human learning that it almost feels like cheating.
It’s powerful, with a lot of depth to its features - but it’s also hideous, clunky and unintuitive, and it takes a long time to figure out how to use it effectively.
An HN-reading tech nerd can probably figure it out, but your average Duolingomaxxing normie? No chance.
Is there not enough useless whitespace around every button?
An SRS system which took more account of the human failings of the user might:
- let you pick a "max daily reviews" and then keep you from putting in too many new items up front, rather than letting you accidentally give yourself a huge daily workload after a few months
- let you tell it "I'm going to be on holiday in a month's time" and have it figure out what to do with reviews and new items to minimise disruption
- when you do come back after a break, pick the most useful reviews to offer the user up to the daily limit (e.g. something whose review interval is six months can wait a few more days, something the user added very recently and has seen only once could be put back into the "new items" bucket to relearn later, so if the user is only going to do 100 of their 300 due cards, other cards are more important to review today)
A human who had a lot of time to learn during January, because his job workload was easy is not failing anything if his job related workload becomes high in March and April. But, all that January effort will be punished by super high workloads in March and April in Anki.
Source: https://docs.ankiweb.net/deck-options.html?highlight=easy%20...
We seem to agree on the substance: that the SRS system should be able to work more humanely with and for the kind of entirely normal situations you describe, by for instance being able to adjust to variations in available time and picking the "best" cards to review rather than assuming the user will get through the whole lot, and in suggesting to them when they should do fewer new items to avoid difficulties in a month or two.