A Queueing Network Model for Spaced Repetition

S. Reddy, I. Labutov, Siddhartha Banerjee
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引用次数: 1

Abstract

Flashcards are a popular study tool for exploiting the spacing effect -- the phenomenon in which periodic, spaced review of educational content improves long-term retention. The Leitner system is a simple heuristic algorithm for scheduling reviews such that forgotten items are reviewed more frequently than recalled items. We propose a formalization of the Leitner system as a queueing network model, and formulate optimal review scheduling as a throughput-maximization problem. Through simulations and theoretical analysis, we find that the Leitner Queue Network (LQN) model has desirable properties and gives insight into general principles for spaced repetition.
间隔重复的排队网络模型
抽抽卡是一种利用间隔效应的流行学习工具,间隔效应是指定期、间隔地复习教育内容可以提高长期记忆的现象。莱特纳系统是一种简单的启发式算法,用于安排审查,这样,被遗忘的项目比被召回的项目更频繁地被审查。我们将Leitner系统形式化为排队网络模型,并将最优复习调度作为吞吐量最大化问题。通过仿真和理论分析,我们发现莱特纳队列网络(Leitner Queue Network, LQN)模型具有良好的性能,并揭示了间隔重复的一般原理。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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