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Musso, Mariel F.; Cómbita, Lina M.; Cascallar, Eduardo C.; Rueda, M. Rosario – Mind, Brain, and Education, 2022
The objective of this research was to develop robust predictive models of the gains in working memory (WM) and fluid intelligence (Gf) following executive attention training in children, using genetic markers, gender, and age variables. We explore the influence of genetic variables on individual differences in susceptibility to intervention.…
Descriptors: Genetics, Artificial Intelligence, Gender Differences, Age Differences
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Evans, Nathan J.; Steyvers, Mark; Brown, Scott D. – Cognitive Science, 2018
Understanding individual differences in cognitive performance is an important part of understanding how variations in underlying cognitive processes can result in variations in task performance. However, the exploration of individual differences in the components of the decision process--such as cognitive processing speed, response caution, and…
Descriptors: Cognitive Ability, Models, Individual Differences, Cognitive Processes
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Giovannone, Nikole; Theodore, Rachel M. – Journal of Speech, Language, and Hearing Research, 2021
Purpose: The extant literature suggests that individual differences in speech perception can be linked to broad receptive language phenotype. For example, a recent study found that individuals with a smaller receptive vocabulary showed diminished lexically guided perceptual learning compared to individuals with a larger receptive vocabulary. Here,…
Descriptors: Individual Differences, Genetics, Auditory Perception, Speech Communication
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Toseeb, Umar; Oginni, Olakunle Ayokunmi; Dale, Philip S. – Journal of Learning Disabilities, 2022
There is considerable variability in the extent to which young people with developmental language disorder (DLD) experience mental health difficulties. What drives these individual differences remains unclear. In the current article, data from the Twin Early Development Study were used to investigate the genetic and environmental influences on…
Descriptors: Language Impairments, Correlation, Psychopathology, Mental Health
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Thomas, Michael S. C.; Forrester, Neil A.; Ronald, Angelica – Cognitive Science, 2016
In the multidisciplinary field of developmental cognitive neuroscience, statistical associations between levels of description play an increasingly important role. One example of such associations is the observation of correlations between relatively common gene variants and individual differences in behavior. It is perhaps surprising that such…
Descriptors: Cognitive Development, Artificial Intelligence, Networks, Models
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Eagle, Michael; Corbett, Albert; Stamper, John; Mclaren, Bruce – International Educational Data Mining Society, 2018
In this work we use prior to tutor-session data to generate an individualized student knowledge model. Intelligent learning environments use student models to individualize curriculum sequencing and help messages. Researchers decompose the learning tasks into sets of Knowledge Components (KCs) that represent individual units of knowledge; the…
Descriptors: Individualized Instruction, Models, Data Analysis, Knowledge Level
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Del Giudice, Marco – Developmental Psychology, 2016
According to models of differential susceptibility, the same neurobiological and temperamental traits that determine increased sensitivity to stress and adversity also confer enhanced responsivity to the positive aspects of the environment. Differential susceptibility models have expanded to include complex developmental processes in which genetic…
Descriptors: Twins, Environmental Influences, Individual Development, Models
Whitehurst, Grover – Center on Children and Families at Brookings, 2018
The standard model of the role of early experience in human development assumes that children's environments in their first years of life are dominant influences on who they become as adults. The standard model favors interventions to improve children's long-term outcomes that start early in life and are intensive in time and attention from…
Descriptors: Early Childhood Education, Models, Experience, Child Development
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Bergman, Lars R. – International Journal of Developmental Science, 2015
Molenaar's (2015) article concerns Developmental Systems Theory (DST) in relation to behavior genetics and he presents implications of DST for empirical research, especially the need for subject-specific studies. In this commentary, the article is discussed from a broader developmental science perspective, particularly regarded through the lens of…
Descriptors: Individual Differences, Genetics, Behavior Theories, Behavior Development
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Thomas, Michael S. C.; Forrester, Neil A.; Ronald, Angelica – Developmental Psychology, 2013
Socioeconomic status (SES) is an important environmental predictor of language and cognitive development, but the causal pathways by which it operates are unclear. We used a computational model of development to explore the adequacy of manipulations of environmental information to simulate SES effects in English past-tense acquisition, in a data…
Descriptors: Socioeconomic Status, Language Acquisition, English, Morphemes
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Kan, Kees-Jan; Ploeger, Annemie; Raijmakers, Maartje E. J.; Dolan, Conor V.; van Der Maas, Han L. J. – Developmental Science, 2010
We present a review of empirical evidence that suggests that a substantial portion of phenotypic variance is due to nonlinear (epigenetic) processes during ontogenesis. The role of such processes as a source of phenotypic variance in human behaviour genetic studies is not fully appreciated. In addition to our review, we present simulation studies…
Descriptors: Twins, Simulation, Genetics, Models
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Perilloux, Carin; Lewis, David M. G.; Goetz, Cari D.; Fleischman, Diana S.; Easton, Judith A.; Confer, Jaime C.; Buss, David M. – American Psychologist, 2010
Replies to comments on Evolutionary psychology: Controversies, questions, prospects, and limitations by Confer et al. The purpose of which was to clarify the logic of evolutionary psychology and clear up some of the more common misunderstandings about it. In this response, we address the key points raised by the commentators.
Descriptors: Evolution, Psychology, Individual Differences, Bias
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Vaidyanathan, Uma; Patrick, Christopher J.; Cuthbert, Bruce N. – Psychological Bulletin, 2009
Integrative hierarchical models have sought to account for the extensive comorbidity between various internalizing disorders in terms of broad individual difference factors these disorders share. However, such models have been developed largely on the basis of self-report and diagnostic symptom data. Toward the goal of linking such models to…
Descriptors: Psychopathology, Individual Differences, Fear, Anxiety
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Barnett, Kylie J.; Finucane, Ciara; Asher, Julian E.; Bargary, Gary; Corvin, Aiden P.; Newell, Fiona N.; Mitchell, Kevin J. – Cognition, 2008
The term synaesthesia has been applied to a range of different sensory-perceptual and cognitive experiences, yet how these experiences are related to each other is not well understood. Not only are there disparate types of synaesthesia, but even within types there are vast individual differences in the way that stimuli induce synaesthesia and in…
Descriptors: Individual Differences, Cognitive Ability, Sensory Experience, Perceptual Development
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Del Giudice, Marco; Angeleri, Romina; Manera, Valeria – Developmental Review, 2009
This paper presents a new perspective on the transition from early to middle childhood (i.e., human juvenility), investigated in an integrative evolutionary framework. Juvenility is a crucial life history stage, when social learning and interaction with peers become central developmental functions; here it is argued that the "juvenile transition"…
Descriptors: Socialization, Child Development, Individual Differences, Biographies
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