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Robison, Matthew K.; Brewer, Gene A. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2022
The present study examined individual differences in 3 cognitive abilities: attention control (AC), working memory capacity (WMC), and fluid intelligence (gF) as they relate the tendency to experience task-unrelated thoughts (TUTs) and the regulation of arousal. Cognitive abilities were measured with a battery of 9 laboratory tasks, TUTs were…
Descriptors: Individual Differences, Short Term Memory, Attention Control, Intelligence
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Fabian Hutmacher; Markus Appel; Benjamin Schätzlein; Christoph Mengelkamp – Cognitive Research: Principles and Implications, 2024
Misinformation can profoundly impact an individual's attitudes--sometimes even after the misinformation has been corrected. In two preregistered experiments (N[subscript 1] = 355, N[subscript 2] = 725), we investigated whether individual differences in the ability and motivation to process information thoroughly influence the impact of…
Descriptors: Intelligence, Attitude Change, Misinformation, Error Correction
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Matias-Garcia, Jose Antonio; Cubero-Perez, Rosario – International Journal of Educational Psychology, 2020
There is vast amount of research that links implicit theories of intelligence with several learning-relevant variables in both learners and teachers alike. However, there is a gap in the literature, as there is almost no research done with university teachers. Furthermore, most scientific research polarizes incremental and fixed views of…
Descriptors: Intelligence, College Faculty, Teacher Attitudes, Theories
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Kim, Kathy MinHye; Maie, Ryo; Suga, Kiyo; Miller, Zachary F.; Hui, Bronson – Language Learning, 2023
This study addresses the role of awareness in learning and the variables that may facilitate adult second language (L2) implicit learning. We replicated Williams's (2005) study with a similar group of academic learners enrolled at university as well as a group of non-college-educated adults in order to explore the generalizability of the findings…
Descriptors: Second Language Learning, Individual Differences, Intelligence, Generalizability Theory
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Michiel Boncquet; Nele Flamant; Jeroen Lavrijsen; Maarten Vansteenkiste; Karine Verschueren; Bart Soenens – Journal of Educational Psychology, 2024
This study examined the unique and interactive role of students' quality of motivation, as defined in self-determination theory, and their mindsets about intelligence, as conceptualized in Dweck's framework, in predicting a variety of learning outcomes (engagement, learning strategies, persistence, procrastination, and test anxiety) and…
Descriptors: Middle School Students, Student Attitudes, Learning Motivation, Academic Achievement
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Sternberg, Robert J. – Journal of Intelligence, 2022
This article discusses the issues of the basic processes underlying intelligence, considering both historical and contemporary perspectives. The attempt to elucidate basic processes has had, at best, mixed success. There are some problems with pinpointing the underlying basic processes of intelligence, both in theory and as tested, such as what…
Descriptors: Intelligence, Individual Differences, Cognitive Processes, Holistic Approach
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Ellis, Derek M.; Robison, Matthew K.; Brewer, Gene A. – Journal of Intelligence, 2021
Individuals encounter problems daily wherein varying numbers of constraints require delimitation of memory to target goal-satisfying information. Multiply-constrained problems, such as the compound remote associates, are commonly used to study this type of problem solving. Since their development, multiply-constrained problems have been…
Descriptors: Cognitive Ability, Problem Solving, Short Term Memory, Attention Control
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Kazim, Emre; Koshiyama, Adriano Soares; Hilliard, Airlie; Polle, Roseline – Journal of Intelligence, 2021
Business psychologists study and assess relevant individual differences, such as intelligence and personality, in the context of work. Such studies have informed the development of artificial intelligence systems (AI) designed to measure individual differences. This has been capitalized on by companies who have developed AI-driven recruitment…
Descriptors: Psychology, Individual Differences, Artificial Intelligence, Intelligence
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Anja Strobel; Alexander Strobel; Franzis Preckel; Ricarda Steinmayr – AERA Open, 2024
While intelligence and motivational variables are well-established predictors of academic achievement, Need for Cognition (NFC), the stable intrinsic motivation to engage in and enjoy challenging intellectual activity, has not yet been considered comprehensively in this field, especially not longitudinally. By applying latent change score…
Descriptors: Academic Achievement, Self Concept, Learning Motivation, Cognitive Processes
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Montuori, Luke M.; Montefiori, Lara – Journal of Intelligence, 2022
For decades, the field of workplace selection has been dominated by evidence that cognitive ability is the most important factor in predicting performance. Meta-analyses detailing the contributions of a wide-range of factors to workplace performance show that cognitive ability's contribution is partly mediated by the learning of task-relevant…
Descriptors: Learning Processes, Cognitive Ability, Job Performance, Psychometrics
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Stevenson, Claire; Baas, Matthijs; van der Maas, Han – Journal of Intelligence, 2021
Despite decades of extensive research on creativity, the field still combats psychometric problems when measuring individual differences in creative ability and people's potential to achieve real-world outcomes that are both original and useful. We think these seemingly technical issues have a conceptual origin. We therefore propose a minimal…
Descriptors: Creativity, Psychometrics, Individual Differences, Theories
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Blankenship, Tashauna L.; Slough, Madeline A.; Calkins, Susan D.; Deater-Deckard, Kirby; Kim-Spoon, Jungmeen; Bell, Martha Ann – Developmental Science, 2019
This study provides the first analyses connecting individual differences in infant attention to reading achievement through the development of executive functioning (EF) in infancy and early childhood. Five-month-old infants observed a video, and peak look duration and shift rate were video coded and assessed. At 10 months, as well as 3, 4, and…
Descriptors: Attention, Executive Function, Infants, Reading Achievement
Emily M. Meyer – ProQuest LLC, 2021
School psychologists use intelligence and academic achievement test scores to understand individual differences in abilities that may be directed towards learning and the learning that has already occurred. To make ethical and effective decisions regarding individualized educational programs and interventions, test users must understand the…
Descriptors: Academic Achievement, Intelligence, Multidimensional Scaling, School Psychologists
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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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O'Connor, Patrick A.; Morsanyi, Kinga; McCormack, Teresa – Mind, Brain, and Education, 2019
The current study investigated the development of children's performance on tasks that have been suggested to underlie early mathematics skills, including measures of cardinality, ordinality, and intelligence. Eighty-seven children were tested in their first (T1) and second (T2) school year (at ages 5 and 6). Children's performance on all tasks…
Descriptors: Individual Differences, Correlation, Mathematics Skills, Intelligence
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