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Showing 1 to 15 of 16 results Save | Export
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Julia M. Rodriguez Buritica; Ben Eppinger; Hauke R. Heekeren; Eveline A. Crone; Anna C. K. van Duijvenvoorde – npj Science of Learning, 2024
Observational learning is essential for the acquisition of new behavior in educational practices and daily life and serves as an important mechanism for human cognitive and social-emotional development. However, we know little about its underlying neurocomputational mechanisms from a developmental perspective. In this study we used model-based…
Descriptors: Observational Learning, Individual Differences, Children, Young Adults
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Mairon, Noam; Abramson, Lior; Knafo-Noam, Ariel; Perry, Anat; Nahum, Mor – Developmental Psychology, 2023
Empathy and executive functions (EFs) are multimodal constructs that enable individuals to cope with their environment. Both abilities develop throughout childhood and are known to contribute to social behavior and academic performance in young adolescents. Notably, mentalizing and EF activate shared frontotemporal brain areas, which in previous…
Descriptors: Empathy, Correlation, Twins, Longitudinal Studies
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Antonicelli, Giada; Rastelli, Stefano – Language Acquisition: A Journal of Developmental Linguistics, 2023
Event-related potentials (ERPs) have become widespread in second language acquisition (SLA) research and a growing body of literature has been produced in recent years. We surveyed 61 SLA papers that use ERPs to study L2 sentence processing in healthy late learners. Our main aim was to provide a critical summary of findings from the decade…
Descriptors: Brain Hemisphere Functions, Diagnostic Tests, Language Proficiency, Sentences
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Schubert, Anna-Lena; Hagemann, Dirk; Löffler, Christoph; Frischkorn, Gidon T. – Journal of Intelligence, 2020
Several studies have demonstrated that individual differences in processing speed fully mediate the association between age and intelligence, whereas the association between processing speed and intelligence cannot be explained by age differences. Because measures of processing speed reflect a plethora of cognitive and motivational processes, it…
Descriptors: Intelligence, Aging (Individuals), Age Differences, Individual Differences
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Ghisletta, Paolo; Renaud, Olivier; Fagot, Delphine; Lecerf, Thierry; de Ribaupierre, Anik – International Journal of Behavioral Development, 2018
While age effects in reaction time (RT) tasks across the lifespan are well established for level of performance, analogous findings have started appearing also for indicators of intra-individual variability (IIV). Children are not only slower, but also display more variability than younger adults in RT. Yet, little is known about potential…
Descriptors: Reaction Time, Individual Differences, Gender Differences, Regression (Statistics)
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Johnson, Blake; Jobst, Cecilia; Al-Loos, Rita; He, Wei; Cheyne, Douglas – Developmental Science, 2020
In a previous study, we reported the first measurements of pre-movement and sensorimotor cortex activity in preschool age children (ages 3-5 years) using a customized pediatric magnetoencephalographic system. Movement-related activity in the sensorimotor cortex differed from that typically observed in adults, suggesting that maturation of cortical…
Descriptors: Psychomotor Skills, Brain Hemisphere Functions, Preschool Children, Diagnostic Tests
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Botdorf, Morgan; Riggins, Tracy; Dougherty, Lea R. – Developmental Psychology, 2019
Research has indicated age-related improvements in relational binding, an important process of episodic memory, across development. However, little research has focused on individual differences in relational binding and factors contributing to this variation. Although differences may arise from various sources, early caregiving has been shown to…
Descriptors: Mothers, Depression (Psychology), Parent Child Relationship, Age Differences
Alexis Rigel Johns – ProQuest LLC, 2016
Successful spoken language comprehension depends upon both sensory and cognitive processing. Since older adults often experience declines in one or both of these domains, and perform worse on some language processing tasks than younger listeners, an important question is how declines to both auditory perception and cognitive abilities affect…
Descriptors: Speech Communication, Language Processing, Word Recognition, Correlation
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Belle, Janna; van Hulst, Branko M.; Durston, Sarah – Journal of Child Psychology and Psychiatry, 2015
Background: Intra-individual variability reflects temporal variation within an individual's performance on a cognitive task. Children with developmental disorders, such as ADHD and ASD show increased levels of intra-individual variability. In typical development, intra-individual variability decreases sharply between the ages 6 and 20. The tight…
Descriptors: Individual Differences, Attention Deficit Hyperactivity Disorder, Autism, Pervasive Developmental Disorders
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Luciana, Monica; Wahlstrom, Dustin; Porter, James N.; Collins, Paul F. – Developmental Psychology, 2012
Behavioral activation that is associated with incentive-reward motivation increases in adolescence relative to childhood and adulthood. This quadratic developmental pattern is generally supported by behavioral and experimental neuroscience findings. It is suggested that a focus on changes in dopamine neurotransmission is informative in…
Descriptors: Evidence, Motivation, Age Differences, Rewards
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Rabbitt, Patrick – Psychological Bulletin, 2011
Salthouse (2011) argued that (a) variance between individuals on cognitive test scores remains constant between 20 and 90 years of age and (b) widely recognized problems of deducing functional relationships from patterns of correlations between measurements become especially severe for neuropsychological indices, especially for gross indices of…
Descriptors: Cognitive Tests, Brain Hemisphere Functions, Individual Differences, Scores
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Nagel, Irene E.; Preuschhof, Claudia; Li, Shu-Chen; Nyberg, Lars; Backman, Lars; Lindenberger, Ulman; Heekeren, Hauke R. – Journal of Cognitive Neuroscience, 2011
Individual differences in working memory (WM) performance have rarely been related to individual differences in the functional responsivity of the WM brain network. By neglecting person-to-person variation, comparisons of network activity between younger and older adults using functional imaging techniques often confound differences in activity…
Descriptors: Short Term Memory, Comparative Analysis, Age Differences, Brain Hemisphere Functions
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Hartley, Alan A.; Jonides, John; Sylvester, Ching-Yune C. – Brain and Cognition, 2011
fMRI was used to explore age differences in the neural substrate of dual-task processing. Brain activations when there was a 100 ms SOA between tasks, and task overlap was high, were contrasted with activations when there was a 1000 ms SOA, and first task processing was largely complete before the second task began. Younger adults (M = 21 yrs)…
Descriptors: Older Adults, Age Differences, Cognitive Processes, Young Adults
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Federmeier, Kara D.; Kutas, Marta; Schul, Rina – Brain and Language, 2010
During sentence comprehension, older adults are less likely than younger adults to predict features of likely upcoming words. A pair of experiments assessed whether such differences would extend to tasks with reduced working memory demands and time pressures. In Experiment 1, event-related brain potentials were measured as younger and older adults…
Descriptors: Comprehension, Sentences, Cues, Prediction
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Ray, Rebecca D.; Shelton, Amy L.; Hollon, Nick Garber; Michel, Bethany D.; Frankel, Carl B.; Gross, James J.; Gabrieli, John D. E. – Child Development, 2009
Processing the self-relevance of information facilitates recall. Similarly, processing close-other-related information facilitates recall to a lesser degree than processing self-relevant information. This memory advantage may be viewed as an index of the degree to which the representation of self is differentiated from representations of close…
Descriptors: Mothers, Individual Differences, Memory, Cognitive Development
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