- https://github.com/koljapluemer/birds-exposure-training
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
