Putting the child in the driver's seat: Insights into language development from children's interactions in preschool classrooms.

Autor:	Perry LK; Department of Psychology, University of Miami, Coral Gables, Florida, United States. Electronic address: lkp36@miami.edu., Meibohm SA; Department of Psychology, University of Miami, Coral Gables, Florida, United States., Drye M; Department of Psychology, University of Miami, Coral Gables, Florida, United States., Viggiano A; Department of Psychology, University of Miami, Coral Gables, Florida, United States., Romero C; Department of Psychology, University of Miami, Coral Gables, Florida, United States., Londoño J; Department of Psychology, University of Miami, Coral Gables, Florida, United States., Tao Y; Department of Electrical and Computer Engineering, University of Miami, Coral Gables, Florida, United States., Messinger DS; Department of Psychology, University of Miami, Coral Gables, Florida, United States; Department of Electrical and Computer Engineering, University of Miami, Coral Gables, Florida, United States; Departments of Pediatrics, Music Engineering, University of Miami, Coral Gables, Florida, United States., Elbaum B; Department of Psychology, University of Miami, Coral Gables, Florida, United States; Department of Teaching and Learning, University of Miami, Coral Gables, Florida, United States.
Jazyk:	angličtina
Zdroj:	Advances in child development and behavior [Adv Child Dev Behav] 2024; Vol. 66, pp. 109-136. Date of Electronic Publication: 2024 Jun 01.
DOI:	10.1016/bs.acdb.2024.05.001
Abstrakt:	Children's own language production has a role in structuring the language of their conversation partners and influences their own development. Children's active participation in their own language development is most apparent in the rich body of work investigating language in natural environments. The advent of automated measures of vocalizations and movement have made such in situ research increasingly feasible. In this chapter, we review recent research on children's language development in context with a particular focus on research employing automated methods in preschool classrooms for children between ages 2 and 5 years. These automated methods indicate that the speech directed to preschool children from specific peers predicts the child's speech to those peers on a subsequent observation occasion. Similar patterns are seen in the influence of peer and teacher phonemic diversity on the phonemic diversity of children's speech to those partners. In both cases, children's own speech to partners was the best predictor of their language abilities, suggesting their active role in their own development. Finally, new research suggests the potential of machine learning to predict children's speech in group contexts, and to transcribe classroom speech to better understand the content of children's conversations and how they change with development. (Copyright © 2024. Published by Elsevier Inc.)
Databáze:	MEDLINE
Externí odkaz:	Zobrazit plný text záznamu