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Do Children (and Adults) Benefit From a Prediction Error Boost in One-Shot Word Learning? Cover

Do Children (and Adults) Benefit From a Prediction Error Boost in One-Shot Word Learning?

Open Access
|Jan 2024

Abstract

Influential theories and computational models suggest error-based learning plays an important role in language acquisition: Children learn new words by generating predictions about upcoming utterances and revising those predictions when they are erroneous. Critically, revising stronger (rather than weaker) predictions should further enhance learning. Although previously demonstrated in adults, such prediction error boost has not been conclusively shown in children. To close this gap, we tested 107 participants between the ages of 5 and 10. We found little evidence that word learning in this age group benefits from a prediction error boost. Moreover, we also failed to replicate previous evidence for such an effect in adults. Based on a detailed task analysis, we suggest the variation in adult findings may be partly explained by differences in encoding strategies and that, relatedly, the protracted development of the episodic memory system might explain why children do not experience robust benefits from having stronger (rather than weaker) predictions disconfirmed.

DOI: https://doi.org/10.5334/joc.342 | Journal eISSN: 2514-4820
Language: English
Submitted on: Sep 11, 2023
Accepted on: Dec 22, 2023
Published on: Jan 12, 2024
Published by: Ubiquity Press
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year

© 2024 Chiara Gambi, Jaroslaw R. Lelonkiewicz, Davide Crepaldi, published by Ubiquity Press
This work is licensed under the Creative Commons Attribution 4.0 License.