
- A perceptual exposure binary-choice UI learning tool for recognizing birds
- ⛁ birds-exposure-training
- ah, I remember now: this fails due to quickly exceeding some flickr quota
Lessons Learned
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regarding auto-gen wrong answers:
- trial also tells you something about learners knowledge of the other item
- if you use ebisu, and a wrong item keeps coming up, pure frequency can give you a hint that this is the right answer
- therefor, mix in the least-likely-remembered item as the wrong answer for a random new item
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main learnings:
- binary choice in learning apps has implications for both items
- ⁓ if you repeat a learning item in multiple choice rapidly, user can correctly guess answer just by how often they see it
- use urgent or due items for all choices of multiple choice
- ~ you need learning data to know what hard choices for multiple choices could be
- ⁓ tracking stuff like 'trailing success rate' or 'streak correct' doesn't make sense if SR is counteracting
- there is also an old blog post somewhere:
The Unique Dynamics of a Rapid Spaced Repetition, Binary-Choice, Perceptual Learning App