Settles & Meeder 2016, "A Trainable Spaced Repetition Model for Language Learning" http://aclweb.org/anthology/P/P16/P16-1174.pdf
> We present half-life regression (HLR), a novel model for spaced repetition > practice with applications to second language acquisition. HLR combines > psycholinguistic theory with modern machine learning techniques, indirectly > estimating the “half-life” of a word or concept in a student’s long-term > memory. We use data from Duolingo — a popular online language learning > application — to fit HLR models, reducing error by 45%+ compared to several > baselines at predicting student recall rates. HLR model weights also shed > light on which linguistic concepts are systematically challenging for second > language learners. Finally, HLR was able to improve Duolingo daily student > engagement by 12% in an operational user study. Comparison to Leitner/Pimsleur, but nothing in the SuperMemo family. Blog discussion: http://making.duolingo.com/how-we-learn-how-you-learn Code/data: https://github.com/duolingo/halflife-regression -- gwern https://www.gwern.net -- You received this message because you are subscribed to the Google Groups "mnemosyne-proj-users" group. To unsubscribe from this group and stop receiving emails from it, send an email to [email protected]. To post to this group, send email to [email protected]. To view this discussion on the web visit https://groups.google.com/d/msgid/mnemosyne-proj-users/CAMwO0gyhpPX5w6-EiJP3vfU2GhCs8PD9xvqEdEZ2%3D7Xtuse8%3DA%40mail.gmail.com. For more options, visit https://groups.google.com/d/optout.
