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Showing 1 to 15 of 594 results Save | Export
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Jia Yang; Fang-Fang Yan; Tingting Wang; Zile Wang; Qingshang Ma; Jinmei Xiao; Xianyuan Yang; Zhong-Lin Lu; Chang-Bing Huang – npj Science of Learning, 2025
Learning to perform multiple tasks robustly is a crucial facet of human intelligence, yet its mechanisms remain elusive. Here, we formulated four hypotheses concerning task interactions and investigated them by analyzing training sequence effects through a continual learning framework. Forty-nine subjects learned seven tasks sequentially, each of…
Descriptors: Sequential Learning, Interference (Learning), Prior Learning, Perceptual Motor Learning
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Longwei Zheng; Anna He; Changyong Qi; Haomin Zhang; Xiaoqing Gu – British Journal of Educational Technology, 2025
In the field of education, the think-aloud protocol is commonly used to encourage learners to articulate their thoughts during the learning process, providing observers with valuable insights into learners' cognitive processes beyond the final learning outcomes. However, the implementation of think-aloud protocols faces challenges such as task…
Descriptors: Protocol Analysis, Learning Experience, Computational Linguistics, Computer Software
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Zheng Zheng; Jun Wang – npj Science of Learning, 2024
While statistical learning is often studied individually, its collective representation through self-other integration remains unclear. This study examines dynamic self-other integration and its multi-brain mechanism using simultaneous recordings from dyads. Participants (N = 112) each repeatedly responded to half of a fixed stimulus sequence with…
Descriptors: Statistics Education, Cooperative Learning, Observational Learning, Learning Processes
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Oudeng Jia; Qingsong Tan; Sihan Zhang; Ke Jia; Mengyuan Gong – npj Science of Learning, 2025
Reward-predictive items capture attention even when task-irrelevant. While value-driven attention typically generalizes to stimuli sharing critical reward-associated features (e.g., red), recent evidence suggests an alternative generalization mechanism based on feature relationships (e.g., redder). Here, we investigated whether relational coding…
Descriptors: Attention, Rewards, Interference (Learning), Coding
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Liang Lin; Xiaowei Ruan; Renjie Liu; Jinli Zhu; Wenhua Zhang; Zhong-Lin Lu; Fan Lu; Fang Hou – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2024
Perceptual learning (PL) can significantly improve human performance in perceptual tasks primarily through template reweighting. Previous studies have documented how PL changes perceptual template in stimulus feature space. We investigated how PL reweights visual information in time. With a dynamic external noise paradigm and the elaborated…
Descriptors: Perceptual Development, Time Perspective, Visual Learning, Time Factors (Learning)
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Nora Turoman; Evie Vergauwe – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2024
There is growing recognition that working memory and selective attention are highly related. However, a key function of selective attention--ignoring distractors--is much less understood in the domain of working memory. In the attention domain, it is now clear that distractors' task relevance and stimulation of multiple senses at a time (i.e.,…
Descriptors: Foreign Countries, Undergraduate Students, Short Term Memory, Interference (Learning)
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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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Rebecca S. Ward; Stephanie H. Jones; Tatiana Pullar; Celia Celona – Education and Treatment of Children, 2025
Demand fading involves the removal and gradual reintroduction of demands and has been shown to effectively reduce escape-maintained challenging behavior. However, it is currently unclear if there are common demand fading practices when demand fading is used as an initial intervention rather than as a method for schedule thinning after another…
Descriptors: Behavior Modification, Reinforcement, Intervention, Learning Processes
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Elisabeth C. McLane; S. Kyle Hatcher; Diana Selmeczy – Child Development, 2025
Prioritizing what information to learn based on value is a critical developmental skill. Across two studies, value-based memory was assessed predominately in White children aged 6- to 7-years-old and 9- to 10-years-old using a nationwide sample collected between 2020 and 2023. Children learned cue-target associations worth varying point values.…
Descriptors: Memory, Learning Strategies, Whites, Children
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Roman Abel; Anique de Bruin; Erdem Onan; Julian Roelle – Educational Psychology Review, 2024
Distinguishing easily confusable categories requires learners to detect their predictive differences. Interleaved sequences -- switching between categories -- help learners to detect such differences. Nonetheless, learners prefer to block -- switching within a category -- to detect commonalities. Across two 2 × 2-factorial experiments, we…
Descriptors: Sequential Learning, Learning Strategies, Interference (Learning), Classification
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Johanna Bogon; Cindy Jagorska; Ella Maria Heinz; Martin Riemer – Cognitive Research: Principles and Implications, 2025
Cross-dimensional interference between spatial and temporal processing provides valuable insights into the neuronal representation of space and time. Previous research has frequently found asymmetric interference patterns, with temporal judgments being more affected by spatial information than vice versa. However, this asymmetry has been…
Descriptors: Computer Simulation, Learning Modalities, Spatial Ability, Time Factors (Learning)
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Pazdera, Jesse K.; Kahana, Michael J. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2023
The modality effect refers to the robust finding that memory performance differs for items presented aurally, as compared with visually. Whereas auditory presentation leads to stronger recency performance in immediate recall, visual presentation often produces better primacy performance (the inverse modality effect). To investigate and model these…
Descriptors: Memory, Recall (Psychology), Aural Learning, Visual Learning
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Klaus Oberauer; Hsuan-Yu Lin – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2024
Research on working memory (WM) has followed two largely independent traditions: One concerned with memory for sequentially presented lists of discrete items, and the other with short-term maintenance of simultaneously presented arrays of objects with simple, continuously varying features. Here we present a formal model of WM, the interference…
Descriptors: Foreign Countries, College Students, Short Term Memory, Visual Learning
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Caitlin A. Sisk; Vanessa G. Lee – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2024
Throughout prolonged tasks, visual attention fluctuates temporally in response to the present stimuli, task demands, and changes in available attentional resources. This temporal fluctuation has downstream effects on memory for stimuli presented during the task. Researchers have established that detection of a target (e.g., a square of a color to…
Descriptors: Adults, Memory, Interference (Learning), Recall (Psychology)
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Achraf Ammar; Khaled Trabelsi; Atef Salem; Haitham Jahrami; Wolfgang I. Schöllhorn – Educational Psychology Review, 2025
Given that the contextual interference (CI) phenomenon is one of the most extensively studied and debated topics in motor learning--featured prominently in scientific literature, textbooks, and practitioner guides--it is unsurprising that recent meta-analyses on the topic have generated critical discussion and contrasting interpretations. This…
Descriptors: Context Effect, Interference (Learning), Perceptual Motor Learning, Meta Analysis
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