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Improvements of Statistical Learning Skills Allow Older Children to Go Beyond Single-Hypothesis Testing When Learning Words

Published online by Cambridge University Press:  14 September 2021

Ming Yean SIA
Affiliation:
The University of Nottingham Malaysia Campus, Jalan Broga, 43500 Semenyih, Selangor, Malaysia
Julien MAYOR*
Affiliation:
University of Oslo, Forskningsveien 3A, 0373 Oslo, Norway
*
Address for correspondence: julien.mayor@psykologi.uio.no
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Abstract

Children learn words in ambiguous situations, where multiple objects can potentially be referents for a new word. Yet, researchers debate whether children maintain a single word-object hypothesis – and revise it if falsified by later information – or whether children establish a network of word-object associations whose relative strengths are modulated with experience. To address this issue, we presented 4- to 12-year-old children with sets of mutual exclusivity (fast-mapping) trials: offering them with obvious initial hypotheses (that the novel object is the referent for the novel word). We observe that children aged six years and above, despite showing a novelty bias and retaining this novel word – novel object association, also formed an association between the novel word and the name-known object, thereby suggesting that older children attend to more than one word-object association, in a manner similar to associative learning. We discuss our findings in the context of competing theoretical accounts related to word learning.

Information

Type
Brief Research Report
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Copyright
Copyright © The Author(s), 2021. Published by Cambridge University Press
Figure 0

Figure 1. An example of different conditions.

Figure 1

Figure 2. Linear regressions of the proportions of correct responses in each condition, as a function of age. Dotted horizontal line refers to chance at .50. Shaded areas indicate the 95% confidence intervals.

Figure 2

Table 1. Chi-square estimates, degrees of freedom and p-value of each fixed effect. The full model was Response ~ (1|Participant) + Test_order + Age*Condition.