Ambridge argues that there is widespread agreement among child language researchers that learners store linguistic abstractions. In this commentary the authors first argue that this assumption is incorrect; anti-representationalist/exemplar views are pervasive in theories of child language. Next, the authors outline what has been learned from this body of work, including insights into mechanisms underlying language learning. Interestingly, some of these mechanisms are at odds with counterarguments in Ambridge, such as the finding that forgetting is a critical process of language.
Sholl analysis of the EC suggests a possible diet-induced dysfunction of pruning, which may contribute to reduced performance on the NOR task. Elevated TNFα levels indicate a putative role of inflammation in neuronal remodeling. The results demonstrate the importance of investigating mechanisms underlying obesity-related cognitive impairments.
The spacing effect is one of the most robust and replicable phenomena in psychological science, and holds promise for improving children’s learning outcomes in educational settings. However, there is a striking limitation in the literature: very few studies have been conducted with young children (0–5-year-olds). Moreover, most studies examine children’s learning on the group level, whereas early curricula typically focus on both group and individual outcomes. We predict that developmental and individual differences in visual attention, memory, prior knowledge, and metamemory will affect children’s learning on massed and spaced schedules. Thus, we argue that the next critical step in research on the spacing effect is to develop a developmental and individual differences account. Indeed, this account will address limitations in theory and barriers in implementing the spacing effect in early educational settings.
Word learning studies traditionally examine the narrow link between words and objects, indifferent to the rich contextual information surrounding objects. This research examined whether children attend to this contextual information and construct an associative matrix of the words, objects, people, and environmental context during word learning. In Experiment 1, preschool‐aged children (age: 3;2–5;11 years) were presented with novel words and objects in an animated storybook. Results revealed that children constructed associations beyond words and objects. Specifically, children attended to and had the strongest associations for features of the environmental context but failed to learn word‐object associations. Experiment 2 demonstrated that children (age: 3;0–5;8 years) leveraged strong associations for the person and environmental context to support word‐object mapping. This work demonstrates that children are especially sensitive to the word learning context and use associative matrices to support word mapping. Indeed, this research suggests associative matrices of the environment may be foundational for children's vocabulary development.
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