These are the people from the scheduler experiment I was talking about. 

Peter

On 26 February 2016 22:33:41 CET, Gwern Branwen <[email protected]> wrote:
>"Unbounded Human Learning: Optimal Scheduling for Spaced Repetition",
>Reddy et al 2016 http://arxiv.org/pdf/1602.07032.pdf
>
>> In the study of human learning, there is broad evidence that our
>ability to retain a piece of information improves with repeated
>exposure, and that it decays with delay since the last exposure. This
>plays a crucial role in the design of educational software, leading to
>a trade-off between teaching new material and reviewing what has
>already been taught. A common way to balance this trade-off is via
>spaced repetition - using periodic review of content to improve
>long-term retention. Though widely used in practice, there is little
>formal understanding of the design of these systems. This paper
>addresses this gap. First, we mine log data from a spaced repetition
>system [Mnemosyne] to establish the functional dependence of retention
>on reinforcement and delay. Second, based on this memory model, we
>develop a mathematical framework for spaced repetition systems using a
>queueing-network approach. This model formalizes the popular Leitner
>Heuristic for spaced repetition, providing the first rigorous and
>computationally tractable means of optimizing the review schedule.
>Finally, we empirically confirm the validity of our formal model via a
>Mechanical Turk experiment. In particular, we verify a key qualitative
>insight and prediction of our model - the existence of a sharp phase
>transition in learning outcomes upon increasing the rate of new item
>introduction
>
>-- 
>gwern
>http://www.gwern.net
>
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