Ebbinghaus's contribution to the measurement of retention: savings during relearning.

By Thomas O. Nelson. 1985

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Katherine A. Rawson
2. John Dunlosky
3. Hava T. Siegelmann
4. Ben Tsuda
5. J. Urgen Schmidhuber
6. Terrence J. Sejnowski
7. K. Tye
8. J. Murre

Citations in the corpus

• A modeling framework for adaptive lifelong learning with transfer and savings through gating in the prefrontal cortex (2020, background): “In contrast, DynaMoE networks, like the PFC, maintain near-optimal configuration for previously experienced scenarios, exhibiting “memory savings” (51).”
• Replication and Analysis of Ebbinghaus’ Forgetting Curve (2015, background): “Later, an important improvement was suggested [26,27], where learning is not to the 100% criterion but to a much lower one, such as 50% correct.”
• When Is Practice Testing Most Effective for Improving the Durability and Efficiency of Student Learning? (2012, background): “As Nelson (1985) noted, “Educators generally realize that most of what they teach their students does not remain recallable, or even recognizable, for extended periods of time.”