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Showing all 15 results Save | Export
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Tal Ness; Valerie J. Langlois; Albert E. Kim; Jared M. Novick – Perspectives on Psychological Science, 2025
Understanding language requires readers and listeners to cull meaning from fast-unfolding messages that often contain conflicting cues pointing to incompatible ways of interpreting the input (e.g., "The cat was chased by the mouse"). This article reviews mounting evidence from multiple methods demonstrating that cognitive control plays…
Descriptors: Cognitive Ability, Language Processing, Psycholinguistics, Cues
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Maria Psyridou; Tuire Koponen; Asko Tolvanen; Kaisa Aunola; Marja-Kristiina Lerkkanen; Anna-Maija Poikkeus; Minna Torppa – Journal of Educational Psychology, 2024
The early prediction of math difficulties (MD) is important as it facilitates timely support. MD are multifaceted, and several factors are involved in their manifestation. This makes the accurate early prediction of MD particularly challenging. In the present study, we aim to predict MD in Grade 6 with kindergarten-age (age 6) measures by applying…
Descriptors: Mathematics Achievement, Kindergarten, Young Children, Grade 6
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Zagorskis, Viktors; Kapanieks, Atis; Gorbunovs, Aleksandrs; Kadakovska, Zane – International Association for Development of the Information Society, 2018
Complex mathematical approaches exist in biological, social, and educational sciences, creating models to understand and explain cognition processes in human brain. Yet, the logged raw data is just an initial learners' behavior footprint in Virtual Learning Environments. Exploratory Data analysis would help to deepen the understanding of cognition…
Descriptors: Learning Processes, Cognitive Ability, Electronic Learning, Brain
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Simpson-Kent, Ivan L.; Fried, Eiko I.; Akarca, Danyal; Mareva, Silvana; Bullmore, Edward T.; Kievit, Rogier A. – Journal of Intelligence, 2021
Network analytic methods that are ubiquitous in other areas, such as systems neuroscience, have recently been used to test network theories in psychology, including intelligence research. The network or mutualism theory of intelligence proposes that the statistical associations among cognitive abilities (e.g., specific abilities such as vocabulary…
Descriptors: Network Analysis, Brain Hemisphere Functions, Intelligence, Schemata (Cognition)
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Botvinick, Matthew M.; Cohen, Jonathan D. – Cognitive Science, 2014
Cognitive control has long been one of the most active areas of computational modeling work in cognitive science. The focus on computational models as a medium for specifying and developing theory predates the PDP books, and cognitive control was not one of the areas on which they focused. However, the framework they provided has injected work on…
Descriptors: Cognitive Ability, Guidelines, Models, Cognitive Processes
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Luders, Eileen; Narr, Katherine L.; Thompson, Paul M.; Toga, Arthur W. – Intelligence, 2009
With the advancement of image acquisition and analysis methods in recent decades, unique opportunities have emerged to study the neuroanatomical correlates of intelligence. Traditional approaches examining global measures have been complemented by insights from more regional analyses based on pre-defined areas. Newer state-of-the-art approaches…
Descriptors: Intelligence, Neurology, Brain, Cognitive Processes
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Colom, Roberto; Haier, Richard J.; Head, Kevin; Alvarez-Linera, Juan; Quiroga, Maria Angeles; Shih, Pei Chun; Jung, Rex E. – Intelligence, 2009
The parieto-frontal integration theory (P-FIT) nominates several areas distributed throughout the brain as relevant for intelligence. This theory was derived from previously published studies using a variety of both imaging methods and tests of cognitive ability. Here we test this theory in a new sample of young healthy adults (N = 100) using a…
Descriptors: Neurological Organization, Brain, Psychometrics, Cognitive Ability
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Karama, S.; Ad-Dab'bagh, Y.; Haier, R. J.; Deary, I. J.; Lyttelton, O. C.; Lepage, C.; Evans, A. C. – Intelligence, 2009
Neuroimaging studies, using various modalities, have evidenced a link between the general intelligence factor (g) and regional brain function and structure in several multimodal association areas. While in the last few years, developments in computational neuroanatomy have made possible the "in vivo" quantification of cortical thickness, the…
Descriptors: Intelligence, Brain, Psychometrics, Diagnostic Tests
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Gilger, Jeffrey W.; Hynd, George W. – Roeper Review, 2008
Developmental exceptionalities span the range of learning abilities and encompass children with both learning disorders and learning gifts. The purpose of this article is to stimulate thinking about these exceptionalities, particularly the complexities and variations within and across people. Investigators tend to view learning disabilities or…
Descriptors: Learning Disabilities, Cognitive Ability, Individual Differences, Models
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Soderlund, Goran; Sikstrom, Sverker; Smart, Andrew – Journal of Child Psychology and Psychiatry, 2007
Background: Noise is typically conceived of as being detrimental to cognitive performance. However, given the mechanism of stochastic resonance, a certain amount of noise can benefit performance. We investigate cognitive performance in noisy environments in relation to a neurocomputational model of attention deficit hyperactivity disorder (ADHD)…
Descriptors: Control Groups, Hyperactivity, Attention Deficit Disorders, Memory
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Reeves, Roger H.; Garner, Craig C. – Mental Retardation and Developmental Disabilities Research Reviews, 2007
The years 2006 and 2007 saw the publication of three new and different approaches to prevention or amelioration of Down syndrome effects on the brain and cognition. We describe the animal model systems that were critical to this progress, review these independent breakthrough studies, and discuss the implications for therapeutic approaches…
Descriptors: Down Syndrome, Research, Prevention, Intervention
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Melis, Cor; van Boxtel, Anton – Intelligence, 2007
We examined autonomic physiological responses induced by six different cognitive ability tasks, varying in complexity, that were selected on the basis of on Guilford's Structure of Intellect model. In a group of 52 participants, task performance was measured together with nine different autonomic response measures and respiration rate. Weighted…
Descriptors: Cognitive Ability, Multidimensional Scaling, Inhibition, Intelligence
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Johnson, Wendy; Bouchard, Thomas J., Jr. – Intelligence, 2007
Empirical data suggest that there is at most a very small sex difference in general mental ability, but men clearly perform better on visuospatial tasks while women clearly perform better on tests of verbal usage and perceptual speed. In this study, we integrated these overall findings with predictions based on the Verbal-Perceptual-Rotation (VPR)…
Descriptors: Gender Differences, Cognitive Ability, Visual Perception, Verbal Ability
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Lee, Donghyung; Riccio, Cynthia A.; Hynd, George W. – Canadian Journal of School Psychology, 2004
The role of executive functions in attention deficit hyperactivity disorder (ADHD) varies considerably depending on the models of ADHD. We examined the interrelationship of two major executive functions (i.e., inhibition and working memory) with behavioral, emotional, and school problems in a group of children who had a comprehensive…
Descriptors: Attention Deficit Hyperactivity Disorder, Brain Hemisphere Functions, Brain, Models
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McMillan, Corey T.; Clark, Robin; Moore, Peachie; Grossman, Murray – Brain and Cognition, 2006
In this study, we investigated patients with focal neurodegenerative diseases to examine a formal linguistic distinction between classes of generalized quantifiers, like "some X" and "less than half of X." Our model of quantifier comprehension proposes that number knowledge is required to understand both first-order and higher-order quantifiers.…
Descriptors: Patients, Models, Short Term Memory, Dementia