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Showing 1 to 15 of 52 results Save | Export
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Tanja C. Roembke; Bob McMurray – Cognitive Science, 2025
Computational and animal models suggest that the unlearning or pruning of incorrect meanings matters for word learning. However, it is currently unclear how such pruning occurs during word learning and to what extent it depends on supervised and unsupervised learning. In two experiments (N[subscript 1] = 40; N[subscript 2] = 42), adult…
Descriptors: Vocabulary Development, Computation, Models, Accuracy
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Andreas B. Eder; Vanessa Mitschke – npj Science of Learning, 2025
This study investigated outcome-selective Pavlovian-to-instrumental transfer (PIT) in fight-or-flight decision making. Participants learned to attack or retreat from monsters (instrumental phase) and to associate environments with specific monsters without responding (Pavlovian phase). In the transfer phase, they chose responses to unseen monsters…
Descriptors: Conditioning, Emotional Response, Decision Making, Stimuli
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Li Xiang; Hyunjeong Nam – Language Teaching Research, 2025
The study aimed to explore the evidence of first language (L1) mediation in second language (L2) word associations and the L2 learner-related factors affecting the extent of L1 mediation with the following approaches. First, different from previous research, word association tests (WATs) embraced both receptive and productive word associations in…
Descriptors: Native Language, Second Language Learning, Associative Learning, Chinese
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Jing Fang; Xiong Xiao; Xiuling He; Yangyang Li; Huanhuan Yuan; Xiaomin Jiao – Interactive Learning Environments, 2024
Knowledge maps are teaching tools that can promote deeply learning and avoid knowledge loss by helping students plan learning paths. Mining potential association rules of concepts from student exercise data was a common method to construct knowledge maps automatically. While manual conditions should be set to filter the association rules future to…
Descriptors: Concept Mapping, Multivariate Analysis, Associative Learning, Learning Strategies
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Ronald Mtenga; Mathias Bode; Radwa Khalil – Journal of Creative Behavior, 2025
Creative thinking stems from the cognitive process that fosters the creation of new ideas and problem-solving solutions. Artificial intelligence systems and neural network models can reduce the intricacy of understanding creative cognition. For instance, the generation of ideas could be symbolized as patterns of binary code in which clusters of…
Descriptors: Inhibition, Creative Thinking, Cognitive Processes, Concept Formation
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Francisco Barbosa Escobar; Qian Janice Wang – Cognitive Science, 2024
The interest in crossmodal correspondences, including those involving sounds and involving tastes, has experienced rapid growth in recent years. However, the mechanisms underlying these correspondences are not well understood. In the present study (N = 302), we used an associative learning paradigm, based on previous literature using simple sounds…
Descriptors: Foreign Countries, Learning Modalities, Adults, Acoustics
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Maria Adriana Neroni; Nathan Crilly; Maria Antonella Brandimonte – Journal of Creative Behavior, 2024
When faced with the need to transform an object, idea, or situation, people have a tendency to favor adding new components rather than removing existing ones. This is called the "additive bias." Previous research, along with historical and anecdotal examples, shows that this bias may significantly reduce problem-solving abilities and…
Descriptors: Association Measures, Associative Learning, Bias, Problem Solving
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Zhijun Liao; Xiya Ao; Yulu Sun; Manli Zhang; Xiangzhi Meng – npj Science of Learning, 2024
Applying 10 Hz ([alpha]-rate) sensory stimulation, not 5 Hz ([theta]-rate), prior to introducing novel speech-print pairs can reset the phase of [theta] oscillations and enhance associative learning. This rapid gain indicates coordinated mechanisms to regulate attentional/cognitive resources ([alpha] oscillations) and facilitate memory storage…
Descriptors: Sensory Experience, Stimulation, Associative Learning, Attention Control
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C. J. Brainerd; M. Chang; D. M. Bialer; X. Liu – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2024
We report the first evidence that the gist mechanism of fuzzy-trace theory and the associative mechanism of activation monitoring theory operate in parallel, in the recall version of the Deese/Roediger/McDermott illusion. In three experiments, we implemented a new methodology that allows their respective empirical indexes, gist strength (GS) and…
Descriptors: Undergraduate Students, Recall (Psychology), Associative Learning, Association (Psychology)
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Elsa Raynal; Kate Schipper; Catherine Brandner; Paolo Ruggeri; Jérôme Barral – npj Science of Learning, 2024
Associative learning abilities vary considerably among individuals, with attentional processes suggested to play a role in these variations. However, the relationship between attentional processes and individual differences in associative learning remains unclear, and whether these variations reflect in event-related potentials (ERPs) is unknown.…
Descriptors: Associative Learning, Attention, Cognitive Processes, Individual Differences
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Sarah C. Creel – Child Development, 2025
How does one assess developmental change when the measures themselves change with development? Most developmental studies of word learning use either looking (infants) or pointing (preschoolers and older). With little empirical evidence of the relationship between the two measures, developmental change is difficult to assess. This paper analyzes…
Descriptors: Preschool Children, Vocabulary Development, Language Acquisition, Accuracy
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Honami Kobayashi; Hiroshi Matsui; Hirokazu Ogawa – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2024
Foraging refers to behavior that exploits the current environment for resources and induces exploration for a better environment. Visual foraging tasks have been used to study human behavior during visual searches. Participants searched for target stimuli among the distractors and either acquired or lost points when they clicked on a target or…
Descriptors: Interference (Learning), Information Retrieval, Foreign Countries, Associative Learning
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Dominik Golab; Baptiste Barbot – Journal of Creative Behavior, 2024
Empathy emerges as a pivotal skill in creative writing, yet previous studies lack an understanding of empathy's multidimensionality and specific impact of its facets on the capacity to generate narrative stories. This cross-sectional study delved into the various cognitive and affective empathy facets --that is, perspective-taking, online…
Descriptors: Empathy, Creative Writing, Student Attitudes, Creativity
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Nicholas P. Maxwell; Mark J. Huff – Metacognition and Learning, 2024
Judgments of learning (JOLs) are often reactive on memory for cue-target pairs. This pattern, however, is moderated by relatedness, as related but not unrelated pairs often show a memorial benefit compared to a no-JOL control group. Based on Soderstrom et al.'s, "Journal of Experimental Psychology: Learning, Memory, and Cognition" 41,…
Descriptors: Decision Making, Recall (Psychology), Cues, Cognitive Processes
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Behnam Karami; Caspar M. Schwiedrzik – npj Science of Learning, 2024
Visual objects are often defined by multiple features. Therefore, learning novel objects entails learning feature conjunctions. Visual cortex is organized into distinct anatomical compartments, each of which is devoted to processing a single feature. A prime example are neurons purely selective to color and orientation, respectively. However,…
Descriptors: Visual Perception, Visual Learning, Novelty (Stimulus Dimension), Brain Hemisphere Functions
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