Forgetting curves flatten with spaced repetition according to predictive formulas
Evidence from educational psychology and cognitive modeling demonstrates that spaced repetition leverages predictive formulas to optimize review intervals, successfully reducing forgetting rates.
The claim states that forgetting curves flatten with spaced repetition according to predictive formulas. Papers [0], [5], and [6] directly investigate and support the use of predictive models, memory equations, and algorithmic schedules to optimize spaced repetition and reduce forgetting rates. There are no papers refuting this claim.
Tabibian B, Upadhyay U, De A, Zarezade A, Schölkopf B, Gomez-Rodriguez M. Enhancing human learning via spaced repetition optimization.. 2019. https://doi.org/10.1073/pnas.1815156116
Paper 0 establishes optimal spaced repetition scheduling using predictive algorithms based on human memory models and recall probabilities.
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Sense F, Wood R, Collins MG, Fiechter J, Wood A, Krusmark M, Jastrzembski T, Myers CW. Cognition-Enhanced Machine Learning for Better Predictions with Limited Data.. 2022. https://doi.org/10.1111/tops.12574
Paper 5 incorporates a predictive performance equation (PPE) modeling the temporal dynamics of learning and forgetting to enhance machine learning predictions.
Farah Aulia Rahman, Muhammad Lutfi, Talitha Amalia. Reducing Forgetting Rate in EFL Students Using a Spaced Repetition-Powered Digital Game-Based Learning Application. 2021. https://doi.org/10.35542/osf.io/fcz96
Paper 6 demonstrates that following a recommended spaced repetition schedule significantly lowers the forgetting rate and improves knowledge retention.
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