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Sarah Berger; Laura J. Batterink – Developmental Science, 2024
Children achieve better long-term language outcomes than adults. However, it remains unclear whether children actually learn language "more quickly" than adults during real-time exposure to input--indicative of true superior language learning abilities--or whether this advantage stems from other factors. To examine this issue, we…
Descriptors: Child Language, Language Acquisition, Learning Processes, Language Skills
Twomey, Katherine E.; Westermann, Gert – Developmental Science, 2018
Infants are curious learners who drive their own cognitive development by imposing structure on their learning environment as they explore. Understanding the mechanisms by which infants structure their own learning is therefore critical to our understanding of development. Here we propose an explicit mechanism for intrinsically motivated…
Descriptors: Infants, Infant Behavior, Child Development, Learning Processes
Quinn, Paul C.; Doran, Matthew M.; Reiss, Jason E.; Hoffman, James E. – Developmental Science, 2010
Subordinate-level category-learning processes in infants were investigated with ERP and looking-time measures. ERPs were recorded while 6- to 7-month-olds were presented with Saint Bernard images during familiarization, followed by novel Saint Bernards interspersed with Beagles during test. In addition, infant looking times were measured during a…
Descriptors: Infants, Classification, Learning Processes, Novels
Livingston, Kenneth R.; Andrews, Janet K. – Developmental Science, 2005
After learning to categorize a set of alien-like stimuli in the context of a story, a group of 5-year-old children and adults judged pairs of stimuli from different categories to be less similar than did groups not learning the category distinction. In a same-different task, the learning group made more errors on pairs of non-identical stimuli…
Descriptors: Stimuli, Young Children, Adults, Concept Formation
Raijmakers, Maartje E. J.; Molenaar, Peter C. M. – Developmental Science, 2004
Neural networks are applied to a theoretical subject in developmental psychology: modeling developmental transitions. Two issues that are involved will be discussed: discontinuities and acquiring qualitatively new knowledge. We will argue that by the appearance of a bifurcation, a neural network can show discontinuities and may acquire…
Descriptors: Classification, Developmental Psychology, Neurological Organization, Brain Hemisphere Functions