Interleaving skills generally enhances long-term retention and learning efficiency across various domains, though initial acquisition may appear more difficult.
Evidence for · 8
Effects of Blocked Versus Random Practice on Speech Motor Skill Acquisition and Retention
2014 · cited by 9
Blocked practice showed higher acquisition performance, but random (interleaved) practice yielded significantly better accuracy during retention.
Evidence against · 1
Exploring Whether Making Second-Language Vocabulary Learning Difficult Enhances Retention and Transfer.
2025 · cited by 0
Results suggest that making initial learning more difficult, such as mixing semantic categories, does not always translate to superior retention.
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More for · 7
High contextual interference improves retention in motor learning: systematic review and meta-analysis.
2024 · cited by 8
A systematic review and meta-analysis confirmed that high contextual interference via random practice significantly improves motor skills retention.
Inductive Learning: Does Interleaving Exemplars Affect Long-Term Retention?
2013 · cited by 6
The study demonstrated that interleaving exemplars improves long-term retention in inductive learning.
The effects of interleaved and blocked corpus-based practice on L2 pragmatic development
2023 · cited by 4
Interleaved practice showed facilitative and long-term effects on L2 pragmatic accuracy compared to blocked practice.
Whether Interleaving or Blocking Is More Effective for Long-Term Learning Depends on One's Learning Strategy.
2025 · cited by 2
Interleaving was found to be more effective than blocking for category learning when evaluating memory-based classification.
A minimal recurrent neural network models the robustness of interleaved practice on motor sequence learning.
2026 · cited by 0
Computational modeling of motor sequence learning showed that interleaved practice yields superior long-term retention and generalization.
Students' Perceptions of Effective Math Learning Strategies.
2025 · cited by 0
Interleaved practice is recognized as an effective math learning strategy supported by empirical data.
Signal-Dependent Planning Noise Reduces Task Interference by Assisting in the Formation of Stable Motor Primitives in a Neural Network Model of Muscle Coordination Learning.
2026 · cited by 0
Computational modeling demonstrated that interleaved training facilitates the formation of stable motor primitives and reduces task interference.