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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
Jarosz, Andrew F.; Wiley, Jennifer – Intelligence, 2012
Current theories concerning individual differences in working memory capacity (WMC) suggest that WMC reflects the ability to control the focus of attention and resist interference and distraction. The current set of experiments tested whether susceptibility to distraction is partially responsible for the established relationship between…
Descriptors: Short Term Memory, Individual Differences, Correlation, Task Analysis
Danthiir, Vanessa; Wilhelm, Oliver; Roberts, Richard D. – Learning and Individual Differences, 2012
The purpose of this study was to replicate the structure of mental speed and relations evidenced with fluid intelligence (Gf) found in a number of recent studies. Specifically, a battery of computerized tasks examined whether results with paper-and-pencil assessments held across different test media. Participants (N = 186) completed the battery,…
Descriptors: Evidence, Intelligence, Factor Structure, Test Validity
Dodonov, Yury S.; Dodonova, Yulia A. – Intelligence, 2012
In the present study, speeded tasks with differing assumed difficulties of the trials are regarded as a special class of simple cognitive tasks. Exploratory latent growth modeling with data-driven shape of a growth curve and nonlinear structured latent curve modeling with predetermined monotonically increasing functions were used to analyze…
Descriptors: Intelligence, Intervals, Reaction Time, Cognitive Ability
Rozencwajg, Paulette; Fenouillet, Fabien – Learning and Individual Differences, 2012
In this experiment we studied the effect of goal setting on the strategies used to perform a block design task called SAMUEL. SAMUEL can measure many indicators, which are then combined to determine the strategies used by participants when solving SAMUEL problems. Two experimental groups were created: one group was given an explicit, difficult…
Descriptors: Experimental Groups, Intelligence, Instructional Design, Goal Orientation
Miller, Robert; Rammsayer, Thomas H.; Schweizer, Karl; Troche, Stefan J. – Learning and Individual Differences, 2010
Several memory processes have been examined regarding their relation to psychometric intelligence with the exception of sensory memory. This study examined the relation between decay of iconic memory traces, measured with a partial-report task, and psychometric intelligence, assessed with the Berlin Intelligence Structure test, in 111…
Descriptors: Intelligence, Memory, Psychometrics, Correlation
Brydges, Christopher R.; Reid, Corinne L.; Fox, Allison M.; Anderson, Mike – Intelligence, 2012
Executive functions (EF) and intelligence are of critical importance to success in many everyday tasks. Working memory, or updating, which is one latent variable identified in confirmatory factor analytic models of executive functions, predicts intelligence (both fluid and crystallised) in adults, but inhibition and shifting do not (Friedman et…
Descriptors: Intelligence, Learning Disabilities, Inhibition, Task Analysis
Lakin, Joni M.; Gambrell, James L. – Intelligence, 2012
Measures of broad fluid abilities including verbal, quantitative, and figural reasoning are commonly used in the K-12 school context for a variety of purposes. However, differentiation of these domains is difficult for young children (grades K-2) who lack basic linguistic and mathematical literacy. This study examined the latent factor structure…
Descriptors: Evidence, Validity, Item Response Theory, Numeracy
Nallure Balasubramanian, Vineeth – ProQuest LLC, 2010
The fields of pattern recognition and machine learning are on a fundamental quest to design systems that can learn the way humans do. One important aspect of human intelligence that has so far not been given sufficient attention is the capability of humans to express when they are certain about a decision, or when they are not. Machine learning…
Descriptors: World Problems, Intelligence, Lifelong Learning, Prediction
Dees, James W. – 1974
A procedure for using Guilford's structure of the intellect as the theoretical basis for a task analysis model is presented. It is reasoned that such a model would furnish a bridge between task analysis and test selection, and also a bridge between test selection and test validation. Such a mechanism might answer some fo the EEOC criticisms of…
Descriptors: Classification, Intelligence, Military Personnel, Models
Shi, Jiannong – High Ability Studies, 2004
In this paper, the term 'intelligence current' is further explained and the problems found in relationships between (among) creativity, intelligence, attitude and environmental factors are discussed, according to the systematic model of creativity previously developed by the author. In this model, the performance of an individual's creativity is…
Descriptors: Creative Activities, Intelligence, Creativity, Creative Thinking
Barnes, Tiffany, Ed.; Chi, Min, Ed.; Feng, Mingyu, Ed. – International Educational Data Mining Society, 2016
The 9th International Conference on Educational Data Mining (EDM 2016) is held under the auspices of the International Educational Data Mining Society at the Sheraton Raleigh Hotel, in downtown Raleigh, North Carolina, in the USA. The conference, held June 29-July 2, 2016, follows the eight previous editions (Madrid 2015, London 2014, Memphis…
Descriptors: Data Analysis, Evidence Based Practice, Inquiry, Science Instruction