That would indeed be the plan... 

Peter

On 27 February 2016 06:59:48 CET, David W Schuler <[email protected]> 
wrote:
>I would be interested in participating in the scheduler experiment.  
>Hopefully the alternate scheduler is implemented as a Plug-In, in a 
>manner similar to the cramming scheduler?
> 
>David Schuler
>[email protected]
>
>On Sat, 27 Feb 2016 06:29:51 +0100, Peter Bienstman
>  wrote:
>
>These are the people from the scheduler experiment I was talking about.
>
>
>Peter
>
>On 26 February 2016 22:33:41 CET, Gwern Branwen  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 repet ition 
>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
>
> 
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