Individual differences in infants’ cognitive abilities underlying learning
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2020-06-10
Language
en
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Abstract
Infants possess sophisticated learning strategies. Nevertheless, it is still unknown
to what extent infants differ in these strategies and the cognitive factors
underlying them. In this paper, we propose a Bayesian cognitive model
to infer individual differences in infants’ learning and attention from their
looking behavior. Using this model, we replicated previous findings showing
that infants tailor their attention depending on the learning progress offered
by environmental stimuli. However, limitations in our data did not allow
us to find individual differences in infants’ cognitive abilities. We conclude
that the current model holds promise to find individual differences if coupled
with richer eye-tracking measures.
Keywords: individual differences, statistical learning, curiosity, learning
progress, Bayesian cognitive modelling
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Faculteit der Sociale Wetenschappen