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Lynn K. Perry; Daniel S. Messinger; Ivette Cejas – Developmental Science, 2025
Although vocabulary size is thought to index children's language abilities, an increasing body of work suggests that regularities in children's vocabulary composition, particularly the proportion of shape-based nouns (e.g., cup), support language development. Here we examine initial vocabulary composition in children with hearing loss following…
Descriptors: Vocabulary, Language Acquisition, Children, Assistive Technology
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Mitsven, Samantha G.; Perry, Lynn K.; Tao, Yudong; Elbaum, Batya E.; Johnson, Neil F.; Messinger, Daniel S. – Developmental Science, 2022
Over half of US children are enrolled in preschools, where the quantity and quality of language input from teachers are likely to affect children's language development. Leveraging repeated objective measurements, we examined the rate per minute and phonemic diversity of child and teacher speech-related vocalizations in preschool classrooms and…
Descriptors: Preschool Children, Phonemic Awareness, Oral Language, Predictor Variables
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Schröder, Elin; Gredebäck, Gustaf; Forssman, Linda; Lindskog, Marcus – Developmental Science, 2022
How do children construct a concept of natural numbers? Past research addressing this question has mainly focused on understanding how children come to acquire the cardinality principle. However, at that point children already understand the first number words and have a rudimentary natural number concept in place. The question therefore remains;…
Descriptors: Child Development, Numbers, Number Concepts, Concept Formation
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Liu, Janelle; Tsang, Tawny; Ponting, Carolyn; Jackson, Lisa; Jeste, Shafali S.; Bookheimer, Susan Y.; Dapretto, Mirella – Developmental Science, 2021
Word segmentation is a fundamental aspect of language learning, since identification of word boundaries in continuous speech must occur before the acquisition of word meanings can take place. We previously used functional magnetic resonance imaging (fMRI) to show that youth with autism spectrum disorder (ASD) are less sensitive to statistical and…
Descriptors: Infants, At Risk Persons, Autism, Pervasive Developmental Disorders