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Zhao, Wenbo; Yin, Yue; Hu, Xiao; Shanks, David R.; Yang, Chunliang; Luo, Liang – Metacognition and Learning, 2023
Item memory (e.g., recall or recognition of specific items) can reactively change when metacognitively monitored via judgments of learning (JOLs). The current research explores whether memory for inter-item relations (e.g., semantic relations among list items) is reactively influenced by JOLs. Participants in Experiment 1 studied rhyming word…
Descriptors: Memory, Metacognition, Recall (Psychology), Learning
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Chang, Minyu; Brainerd, C. J. – Metacognition and Learning, 2023
Making judgments of learning (JOLs) can sometimes modify subsequent memory performance, which is referred to as JOL reactivity. We evaluated two major theoretical explanations of JOL reactivity and used the dual-retrieval model to pinpoint the retrieval processes that are modified by JOLs. The changed-goal hypothesis assumes that JOLs highlight…
Descriptors: Cues, Evaluative Thinking, Models, Recall (Psychology)
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Hawkins, Robert D.; Kandel, Eric R. – Learning & Memory, 2019
One of the major questions in psychology is whether associative and nonassociative learning are fundamentally different or whether they involve similar processes and mechanisms. We have addressed this question by comparing mechanisms of a nonassociative form of learning, sensitization, and an associative form of learning, classical conditioning of…
Descriptors: Associative Learning, Classical Conditioning, Brain, Animals
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Lew, Timothy F.; Pashler, Harold E.; Vul, Edward – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2016
What happens to memories as we forget? They might gradually lose fidelity, lose their associations (and thus be retrieved in response to the incorrect cues), or be completely lost. Typical long-term memory studies assess memory as a binary outcome (correct/incorrect), and cannot distinguish these different kinds of forgetting. Here we assess…
Descriptors: Experimental Psychology, Long Term Memory, Learning, Visual Stimuli
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Faraut, Mailys C. M.; Procyk, Emmanuel; Wilson, Charles R. E. – Learning & Memory, 2016
Unexpected outcomes can reflect noise in the environment or a change in the current rules. We should ignore noise but shift strategy after rule changes. How we learn to do this is unclear, but one possibility is that it relies on learning to learn in uncertain environments. We propose that acquisition of latent task structure during learning to…
Descriptors: Learning, Cognitive Processes, Animals, Error Patterns
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Cole, Sindy; Powell, Daniel J.; Petrovich, Gorica D. – Learning & Memory, 2013
The amygdala is important for reward-associated learning, but how distinct cell groups within this heterogeneous structure are recruited during appetitive learning is unclear. Here we used Fos induction to map the functional amygdalar circuitry recruited during early and late training sessions of Pavlovian appetitive conditioning. We found that a…
Descriptors: Associative Learning, Brain, Neurological Organization, Conditioning
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Rey, Arnaud; Perruchet, Pierre; Fagot, Joel – Cognition, 2012
Influential theories have claimed that the ability for recursion forms the computational core of human language faculty distinguishing our communication system from that of other animals (Hauser, Chomsky, & Fitch, 2002). In the present study, we consider an alternative view on recursion by studying the contribution of associative and working…
Descriptors: Evidence, Associative Learning, Short Term Memory, Theories
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Ardiel, Evan L.; Rankin, Catharine H. – Learning & Memory, 2010
This article reviews the literature on learning and memory in the soil-dwelling nematode "Caenorhabditis elegans." Paradigms include nonassociative learning, associative learning, and imprinting, as worms have been shown to habituate to mechanical and chemical stimuli, as well as learn the smells, tastes, temperatures, and oxygen levels that…
Descriptors: Learning, Memory, Animals, Literature Reviews
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Greville, W. James; Buehner, Marc J. – Journal of Experimental Psychology: General, 2010
"Temporal predictability" refers to the regularity or consistency of the time interval separating events. When encountering repeated instances of causes and effects, we also experience multiple cause-effect temporal intervals. Where this interval is constant it becomes possible to predict when the effect will follow from the cause. In…
Descriptors: Time, Intervals, Learning, Prediction
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Williams, Ben A.; Pearlberg, Stephen L. – Intelligence, 2006
College undergraduates learned word lists involving three-term contingencies (stimulus-response-outcome). Learning rate was correlated approximately 0.5 with scores on Raven's Advanced Progressive Matrices (Raven) but did not correlate significantly with several tasks (inspection time, card-sorting, trail-making, PASAT) shown to be associated with…
Descriptors: Undergraduate Students, Word Lists, Learning, Correlation
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Busemeyer, Jerome; And Others – Cognitive Psychology, 1997
A new paradigm is presented for investigating how intervening concepts are learned. Results of four experiments involving 85 college students provide converging evidence for the acquisition of intervening concepts. A simple associative learning mechanism is proposed to account for the results. The new paradigm uses a stimulus-response-feedback…
Descriptors: Abstract Reasoning, Associative Learning, College Students, Concept Formation
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Tuber, David S.; And Others – Science, 1980
Reports results of an experiment involving a hydranencephalic infant lacking cerebral hemispheres and a normal twin in testing for associative learning. Cardiac orienting responses to stimulus omission indicated that learning had taken place in both infants. (CS)
Descriptors: Associative Learning, Cerebral Dominance, Educational Research, Infant Behavior
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Kandel, Eric R.; Schwartz, James H. – Science, 1982
Describes how a behavioral system in Aplysia (marine snail) can be used to examine mechanisms of several forms of learning at different levels of analysis: behavioral, cell-physiological, ultrastructural, and molecular. Focusing on short-term sensitization, suggests how molecular mechanisms can be extended to explain long-term memory and classical…
Descriptors: Animal Behavior, Associative Learning, Biochemistry, Biology