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Stephanie Alcock; Aline Ferreira-Correia; Kate Cockcroft – Journal of Creative Behavior, 2023
Creativity involves generating novel and valuable ideas. While the importance of creative thinking is widely acknowledged, its cognitive basis is poorly understood, particularly in older adults. This study aimed to develop and test an explanatory model of creative thinking to elucidate its underlying cognitive functions in an elderly sample. The…
Descriptors: Creativity, Older Adults, Cognitive Processes, Creative Thinking
Simone A. Luchini; James C. Kaufman; Benjamin Goecke; Oliver Wilhelm; Yoed N. Kenett; Daisy Lei; Mathias Benedek; Janet G. van Hell; Roger E. Beaty – npj Science of Learning, 2025
Creativity is a key 21st-century skill and a consistent predictor of academic learning outcomes. Despite decades of research on creativity and learning, little is known about the cognitive mechanisms underlying their relationship. In two studies, we examined whether creativity supports associative learning through associative thinking--the ability…
Descriptors: Creativity, 21st Century Skills, Associative Learning, Association (Psychology)
Robins, Anthony V. – ACM Transactions on Computing Education, 2022
This paper explores a major theoretical framework from psychology, Dual Process Theory (DPT), which has received surprisingly little attention in the computing education literature. DPT postulates the existence of two qualitatively different kinds of cognitive systems, a fast, intuitive "System 1" and a slow, reflective "System…
Descriptors: Learning Theories, Cognitive Processes, Intelligence, Long Term Memory
Vitrano, Deana; Altarriba, Jeanette; Leblebici-Basar, Deniz – Journal of Creative Behavior, 2021
S.A. Mednick (1962) proposed a theory of creativity suggesting that highly creative individuals can produce more word associations to a stimulus than less creative individuals. Numerous studies have supported this theory using the Remote Associates Test (RAT) as the measure of creativity. Additionally, some studies have suggested that…
Descriptors: Word Frequency, Associative Learning, Task Analysis, Creativity
Nacaroglu, Oguzhan; Kizkapan, Oktay – Journal of Science Learning, 2021
Epistemological beliefs can be defined shortly as beliefs about the source, certainty, organization of knowledge, and beliefs on ability and speed of learning. Word association tests (WAT) are practical alternative assessment and evaluation tools that can reveal students' thoughts on different concepts. In this regard, this research aims to…
Descriptors: Academically Gifted, Children, Adolescents, Beliefs
Minear, Meredith; Coane, Jennifer H.; Boland, Sarah C.; Cooney, Leah H.; Albat, Marissa – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2018
The authors examined whether individual differences in fluid intelligence (gF) modulate the testing effect. Participants studied Swahili--English word pairs and repeatedly studied half the pairs or attempted retrieval, with feedback, for the remaining half. Word pairs were easy or difficult to learn. Overall, participants showed a benefit of…
Descriptors: Individual Differences, Intelligence, Information Retrieval, Testing
Tamez, Elaine; Myerson, Joel; Hale, Sandra – Intelligence, 2012
According to the cognitive cascade hypothesis, age-related slowing results in decreased working memory, which in turn affects higher-order cognition. Because recent studies show complex associative learning correlates highly with fluid intelligence, the present study examined the role of complex associative learning in cognitive cascade models of…
Descriptors: Intelligence, Associative Learning, Short Term Memory, Cognitive Processes
Lozano, J. H.; Hernandez, J. M.; Rubio, V. J.; Santacreu, J. – Learning and Individual Differences, 2011
Although intelligence has traditionally been identified as "the ability to learn" (Peterson, 1925), this relationship has been questioned in simple operant learning tasks (Spielberger, 1962). Nevertheless, recent pieces of research have demonstrated a strong and significant correlation between associative learning measures and intelligence…
Descriptors: Intelligence, Associative Learning, Reinforcement, Task Analysis
Kaufman, Scott Barry; DeYoung, Colin G; Gray, Jeremy R.; Brown, Jamie; Mackintosh, Nicholas – Intelligence, 2009
Recent evidence suggests the existence of multiple cognitive mechanisms that support the general cognitive ability factor (g). Working memory and processing speed are the two best established candidate mechanisms. Relatively little attention has been given to the possibility that associative learning is an additional mechanism contributing to g.…
Descriptors: Intelligence, Structural Equation Models, Associative Learning, Short Term Memory
Kaufman, Scott Barry; DeYoung, Caroline G.; Gray, Jeremy R.; Jimenez, Luis; Brown, Jamie; Mackintosh, Nicholas – Cognition, 2010
The ability to automatically and implicitly detect complex and noisy regularities in the environment is a fundamental aspect of human cognition. Despite considerable interest in implicit processes, few researchers have conceptualized implicit learning as an ability with meaningful individual differences. Instead, various researchers (e.g., Reber,…
Descriptors: Intelligence, Structural Equation Models, Associative Learning, Personality
Passig, David – Teachers College Record, 2007
This paper examines the characteristics of the thinking skill we call "melioration" i.e., the competence to borrow a concept from a field of knowledge supposedly far removed from his or her domain, and adapt it to a pressing challenge in an area of personal knowledge or interest. The skill has its source in conscious personal meaning-making, not…
Descriptors: Intelligence, Thinking Skills, Cognitive Ability, Associative Learning
Williams, Ben; Myerson, Joel; Hale, Sandra – Journal of the Experimental Analysis of Behavior, 2008
Despite its avowed goal of understanding individual behavior, the field of behavior analysis has largely ignored the determinants of consistent differences in level of performance among individuals. The present article discusses major findings in the study of individual differences in intelligence from the conceptual framework of a functional…
Descriptors: Intelligence, Individual Differences, Short Term Memory, Behavioral Science Research
Schafer, Robin J.; Lacadie, Cheryl; Vohr, Betty; Kesler, Shelli R.; Katz, Karol H.; Schneider, Karen C.; Pugh, Kenneth R.; Makuch, Robert W.; Reiss, Allan L.; Constable, R. Todd; Ment, Laura R. – Brain, 2009
Recent data suggest recovery of language systems but persistent structural abnormalities in the prematurely born. We tested the hypothesis that subjects who were born prematurely develop alternative networks for processing language. Subjects who were born prematurely (n = 22; 600-1250 g birth weight), without neonatal brain injury on neonatal…
Descriptors: Control Groups, Intelligence, Body Weight, Reaction Time
Floyd, Randy G.; Keith, Timothy Z.; Taub, Gordon E.; McGrew, Kevin S. – School Psychology Quarterly, 2007
This study employed structural equation modeling to examine the effects of Cattell-Horn-Carroll (CHC) abilities on reading decoding skills using five age-differentiated subsamples from the standardization sample of the Woodcock-Johnson III (Woodcock, McGrew, & Mather, 2001). Using the Spearman Model including only g, strong direct effects of g on…
Descriptors: Cognitive Ability, Structural Equation Models, Short Term Memory, Listening Skills