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Xiantong Yang; Jon R. Star; Ru-De Liu; Yi Yang – Educational Psychology Review, 2025
Existing research has revealed key factors influencing mathematical flexibility, defined as the capacity to understand, generate, and apply a variety of strategies in solving mathematical problems. However, there is currently a lack of an integrated theoretical framework to systematically consolidate various sources of individual differences in…
Descriptors: Individual Differences, Mathematics Skills, Problem Solving, Demography
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von Krause, Mischa; Radev, Stefan T.; Voss, Andreas; Quintus, Martin; Egloff, Boris; Wrzus, Cornelia – Journal of Intelligence, 2021
In recent years, mathematical models of decision making, such as the diffusion model, have been endorsed in individual differences research. These models can disentangle different components of the decision process, like processing speed, speed-accuracy trade-offs, and duration of non-decisional processes. The diffusion model estimates individual…
Descriptors: Decision Making, Mathematical Models, Cognitive Processes, Individual Differences
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Thomas, Michael S. C.; Coecke, Selma – Cognitive Science, 2023
Differences in socioeconomic status (SES) correlate both with differences in cognitive development and in brain structure. Associations between SES and brain measures such as cortical surface area and cortical thickness mediate differences in cognitive skills such as executive function and language. However, causal accounts that link SES, brain,…
Descriptors: Socioeconomic Status, Cognitive Processes, Brain, Cognitive Development
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Hoogerheide, Vincent; Roelle, Julian – Applied Cognitive Psychology, 2020
Decades of research has shown that example-based learning is an effective instructional strategy for learning new skills. The field of learning from examples is seeing a shift in focus towards more innovative and use-inspired research, in part because the use of examples for informal and formal learning purposes has mushroomed. This special issue…
Descriptors: Observational Learning, Problem Solving, Cognitive Processes, Difficulty Level
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Ghisletta, Paolo; Mason, Fabio; von Oertzen, Timo; Hertzog, Christopher; Nilsson, Lars-Göran; Lindenberger, Ulman – International Journal of Behavioral Development, 2020
Growth models (GM) of the mixed-effects and latent curve varieties have become popular methodological tools in lifespan research. One of the major advantages of GM is their flexibility in studying individual differences in change. We scrutinized the change functions of GM used in five years of publications on cognitive aging. Of the 162…
Descriptors: Growth Models, Cognitive Development, Cognitive Processes, Aging (Individuals)
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Conway, Andrew R. A.; Kovacs, Kristof; Hao, Han; Rosales, Kevin P.; Snijder, Jean-Paul – Journal of Intelligence, 2021
Process overlap theory (POT) is a new theoretical framework designed to account for the general factor of intelligence ("g"). According to POT, g does not reflect a general cognitive ability. Instead, "g" is the result of multiple domain-general executive attention processes and multiple domain-specific processes that are…
Descriptors: Individual Differences, Attention, Intelligence, Executive Function
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Ranger, Jochen; Kuhn, Jörg-Tobias; Pohl, Steffi – Measurement: Interdisciplinary Research and Perspectives, 2021
The term speed-accuracy tradeoff is used when an increase in response speed comes at the expense of response accuracy. Although originally a concept from experimental psychology, the speed-accuracy tradeoff has been a topic in psychological assessment, too. In the first part of the manuscript, we discuss motivational factors that may be…
Descriptors: Item Response Theory, Reaction Time, Accuracy, Psychological Testing
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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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Sepp, Stoo; Howard, Steven J.; Tindall-Ford, Sharon; Agostinho, Shirley; Paas, Fred – Educational Psychology Review, 2019
Cognitive load theory (CLT) applies what is known about human cognitive architecture to the study of learning and instruction, to generate insights into the characteristics and conditions of effective instruction and learning. Recent developments in CLT suggest that the human motor system plays an important role in cognition and learning; however,…
Descriptors: Cognitive Processes, Difficulty Level, Psychomotor Skills, Short Term Memory
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Hedge, Craig; Powell, Georgina; Bompas, Aline; Sumner, Petroc – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2022
Response control or inhibition is one of the cornerstones of modern cognitive psychology, featuring prominently in theories of executive functioning and impulsive behavior. However, repeated failures to observe correlations between commonly applied tasks have led some theorists to question whether common response conflict processes even exist. A…
Descriptors: Individual Differences, Cognitive Ability, Cognitive Processes, Meta Analysis
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Braasch, Jason L. G.; Kessler, Erica D. – Discourse Processes: A Multidisciplinary Journal, 2021
Comprehension substantially benefits from attending to, thinking about, and mentally representing the sources of any presented information. Such processes require mental effort and unfortunately people do not always engage in such activities. The current article presents a nascent, evolving model of discourse comprehension that formalizes…
Descriptors: Language Processing, Reading Comprehension, Discourse Analysis, Prediction
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Goecke, Benjamin; Schmitz, Florian; Wilhelm, Oliver – Journal of Intelligence, 2021
Performance in elementary cognitive tasks is moderately correlated with fluid intelligence and working memory capacity. These correlations are higher for more complex tasks, presumably due to increased demands on working memory capacity. In accordance with the binding hypothesis, which states that working memory capacity reflects the limit of a…
Descriptors: Intelligence, Cognitive Processes, Short Term Memory, Reaction Time
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Prather, Richard – Journal of Cognition and Development, 2018
Numerical comparison is a primary measure of the acuity of children's approximate number system. Approximate number system acuity is associated with key developmental outcomes such as symbolic number skill, standardized test scores, and even employment outcomes (Halberda, Mazzocco, & Feigenson, 2008; Parsons & Bynner, 1997). We examined…
Descriptors: Numbers, Computation, Comparative Analysis, Children
Canan, Mustafa – ProQuest LLC, 2017
Two people in the same situation may ascribe very different meanings to their experiences. They will form different awareness, reacting differently to shared information. Various factors can give rise to this behavior. These factors include, but are not limited to, prior knowledge, training, biases, cultural factors, social factors, team vs.…
Descriptors: Participative Decision Making, Individual Differences, Perspective Taking, Cognitive Processes
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Ratcliff, Roger; Van Dongen, Hans P. A. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2018
Sleep deprivation adversely affects the ability to perform cognitive tasks, but theories range from predicting an overall decline in cognitive functioning because of reduced stability in attentional networks to specific deficits in various cognitive domains or processes. We measured the effects of sleep deprivation on two memory tasks, item…
Descriptors: Sleep, Reaction Time, Accuracy, Memory
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