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Related Experiment Video

Updated: Mar 27, 2026

Measuring Statistical Learning Across Modalities and Domains in School-Aged Children Via an Online Platform and Neuroimaging Techniques
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A Scale-Invariant Learning Model for Distributed Practice Effects.

Martin Riopel1, Patrice Potvin1

  • 1Département de didactique, Université du Québec à Montréal.

Cognitive Science
|March 25, 2026
PubMed
Summary
This summary is machine-generated.

This study introduces a unified Scale-Invariant Learning (SIL) model to explain practice, forgetting, and spacing effects. The robust SIL model offers a consistent framework for diverse learning scenarios, promoting wider adoption of distributed practice principles.

Keywords:
ForgettingLearningMemoryPracticeScale invarianceSpacing

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Measuring Statistical Learning Across Modalities and Domains in School-Aged Children Via an Online Platform and Neuroimaging Techniques
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Area of Science:

  • Cognitive Psychology
  • Learning Sciences
  • Educational Technology

Background:

  • Distributed practice theories offer learning durability but face adoption barriers due to learner strain and fragmented evidence.
  • Existing models lack a unified theoretical framework for practice, forgetting, and spacing effects.

Purpose of the Study:

  • To propose a unified theoretical model for practice, forgetting, and spacing.
  • To test the proposed model across multiple realistic learning situations.

Main Methods:

  • Developed a Scale-Invariant Learning (SIL) model using scale invariance as a unifying principle across three scales.
  • Validated the SIL model using a local experimental dataset and five external datasets from distributed practice studies.

Main Results:

  • The SIL model demonstrated acceptable goodness of fit across all tested datasets.
  • The model provides a parsimonious equation applicable to a wide range of learning tasks and sequences.

Conclusions:

  • The SIL model is a robust and unified theoretical framework for understanding learning dynamics.
  • The model's applicability to authentic situations and its invariant unit of measurement can facilitate real-world educational applications.