Unbounded Human Learning: Optimal Scheduling for Spaced Repetition
Por Camilo Arcaya • 29 feb, 2016 • Category: EducacionIn 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.