Raviv, L. , Lupyan, G. and Green, S. C. (2022) How variability shapes learning and generalization. Trends in Cognitive Sciences, 26(6), pp. 462-483. (doi: 10.1016/j.tics.2022.03.007) (PMID:35577719)
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Abstract
Learning is using past experiences to inform new behaviors and actions. Because all experiences are unique, learning always requires some generalization. An effective way of improving generalization is to expose learners to more variable (and thus often more representative) input. More variability tends to make initial learning more challenging, but eventually leads to more general and robust performance. This core principle has been repeatedly rediscovered and renamed in different domains (e.g., contextual diversity, desirable difficulties, variability of practice). Reviewing this basic result as it has been formulated in different domains allows us to identify key patterns, distinguish between different kinds of variability, discuss the roles of varying task-relevant versus irrelevant dimensions, and examine the effects of introducing variability at different points in training.
Item Type: | Articles |
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Keywords: | Diversity, humans, language, categorization, language, Learning, learning, variability, generalization, psychological. |
Status: | Published |
Refereed: | Yes |
Glasgow Author(s) Enlighten ID: | Raviv, Dr Limor |
Authors: | Raviv, L., Lupyan, G., and Green, S. C. |
College/School: | College of Medical Veterinary and Life Sciences > School of Psychology & Neuroscience |
Journal Name: | Trends in Cognitive Sciences |
Publisher: | Elsevier |
ISSN: | 1364-6613 |
ISSN (Online): | 1879-307X |
Published Online: | 13 May 2022 |
Copyright Holders: | Copyright © 2022 Elsevier Ltd. |
First Published: | First published in Trends in Cognitive Sciences 6:462-483 |
Publisher Policy: | Reproduced in accordance with the publisher copyright policy |
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