Spacing Effect Improves Generalization in Biological and Artificial Systems
Abstract
Research demonstrating that the spacing effect enhances generalization across species from invertebrates to humans and in artificial neural networks.
Questions this source addresses
- How do deficient-processing theory and study-phase retrieval theory differ in explaining why spaced repetition outperforms massed repetition?
- What evidence suggests the spacing effect is an evolutionarily conserved learning mechanism rather than a quirk of human memory?
- What implications does cross-species evidence for the spacing effect have for designing curriculum learning schedules in machine learning?
- Why might spaced presentation of training examples improve generalization in artificial neural networks, not just retention?