Titlebook: Language and Concept Acquisition from Infancy Through Childhood; Learning from Multip Jane B. Childers Book 2020 Springer Nature Switzerlan

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Mechanisms of Statistical Learning in Infancy,elopmental mechanisms) underlying infant performance remain unclear. This chapter examines competing models of statistical learning and how learning might be constrained by limits in infants’ attention, perception, and memory.

臆斷

The Emergence of Inductive Reasoning During Infancy: Learning from Single and Multiple Exemplars,ht the following: (1) infants as young as 9?months can link sound properties with animal categories and (2) the tendency to map properties to categories varies by the type of category (familiar vs. unfamiliar animals) and whether infants are familiarized with a single category member or multiple category members.

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,Multiple Examples Support Children’s Word Learning: The Roles of Aggregation, Decontextualization, cuss statistical learning as a mechanism for word learning with a specific focus on the processes of aggregation and abstraction. Second, we discuss how multiple examples dynamically support the retention of word-referent pairs.

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Book 2020unts of how the opportunity to recognize and generalize patterns influences learning. The book offers the first systematic integration of three highly influential research traditions in the domains of language and concept acquisition: Statistical Learning, Structural Alignment, and the Bayesian lear

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Jane B. ChildersExamines cross-situational learning and comparison processes in young children.Synthesizes three prominent theories and empirical research stemming from each.Draws connections between the theories wit

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978-3-030-35596-8Springer Nature Switzerland AG 2020