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Related Experiment Video

Updated: Nov 11, 2025

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

Published on: June 30, 2020

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Predicting as a learning strategy.

Garvin Brod1,2

  • 1DIPF | Leibniz Institute for Research and Information in Education, 60323, Frankfurt, Germany. garvin.brod@dipf.de.

Psychonomic Bulletin & Review
|March 26, 2021
PubMed
Summary
This summary is machine-generated.

Predicting as a learning strategy enhances learning by increasing surprise and attention to feedback. This affective component, distinct from mere retrieval, improves encoding and memory retention.

Keywords:
Errorful learningGenerating predictionsGuessingLearning techniquesRetrieval practiceTesting effect

Related Experiment Videos

Last Updated: Nov 11, 2025

Measuring Statistical Learning Across Modalities and Domains in School-Aged Children Via an Online Platform and Neuroimaging Techniques
08:05

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

Published on: June 30, 2020

7.8K

Area of Science:

  • Cognitive Psychology
  • Educational Psychology
  • Learning Sciences

Background:

  • Predicting is a popular learning strategy where students generate a prediction before receiving the correct answer.
  • The precise mechanisms underlying its effectiveness are not fully understood.
  • Predicting shares similarities with other retrieval-based strategies like practice testing and guessing.

Purpose of the Study:

  • To explore the procedural and mechanistic characteristics of predicting as a distinct learning strategy.
  • To differentiate predicting from other retrieval-based strategies.
  • To investigate the role of affective components in predicting's effectiveness.

Main Methods:

  • Conceptual analysis of predicting within the framework of learning strategies.
  • Review of existing evidence on retrieval-based learning and feedback processing.
  • Argumentation for the unique contribution of predicting.

Main Results:

  • Active retrieval alone does not fully explain the benefits of predicting.
  • Predicting's effectiveness is linked to how feedback is processed, particularly surprise.
  • Surprise enhances attention and strengthens the encoding of correct answers.

Conclusions:

  • Predicting's unique affective component, specifically surprise, differentiates it from guessing.
  • Predicting should be recognized as a distinct learning strategy.
  • Further research can integrate prediction error models, epistemic emotions, and instructional design.