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Showing 1 to 15 of 74 results Save | Export
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Yueran Yang; Janice L. Burke; Justice Healy – Cognitive Research: Principles and Implications, 2025
"How do witnesses make identification decisions when viewing a lineup?" Understanding the witness decision-making process is essential for researchers to develop methods that can reduce mistaken identifications and improve lineup practices. Yet, the inclusion of fillers has posed a pivotal challenge to this task because the traditional…
Descriptors: Audiences, Audience Response, Identification, Decision Making
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Sarsa, Sami; Leinonen, Juho; Hellas, Arto – Journal of Educational Data Mining, 2022
New knowledge tracing models are continuously being proposed, even at a pace where state-of-the-art models cannot be compared with each other at the time of publication. This leads to a situation where ranking models is hard, and the underlying reasons of the models' performance -- be it architectural choices, hyperparameter tuning, performance…
Descriptors: Learning Processes, Artificial Intelligence, Intelligent Tutoring Systems, Memory
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Tourangeau, Roger – Quality Assurance in Education: An International Perspective, 2018
Purpose: This paper aims to examine the cognitive processes involved in answering survey questions. It also briefly discusses how the cognitive viewpoint has been challenged by other approaches (such as conversational analysis). Design/methodology/approach: The paper reviews the major components of the response process and summarizes work…
Descriptors: Surveys, Cognitive Processes, Error of Measurement, Accuracy
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Bülthoff, Isabelle; Zhao, Mintao – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2020
Many studies have demonstrated that we can identify a familiar face on an image much better than an unfamiliar one, especially when various degradations or changes (e.g., image distortions or blurring, new illuminations) have been applied, but few have asked how different types of facial information from familiar faces are stored in memory. Here…
Descriptors: Memory, Classification, Human Body, Self Concept
Goodwin, Bryan – McREL International, 2018
This paper proposes a synthesis of the science of learning into a "model" teachers can follow and apply right away in their classrooms. Recent studies in neuroscience show that that our brains appear to actively and purposefully forget most of what we learn--continually clearing out old and unneeded memories to allow us to focus on more…
Descriptors: Brain, Memory, Learning Processes, Neurosciences
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Bernier, Brian E.; Lacagnina, Anthony F.; Drew, Michael R. – Learning & Memory, 2015
Studies on the behavioral mechanisms underlying contextual fear conditioning (CFC) have demonstrated the importance of preshock context exposure in the formation of aversive context memories. However, there has been comparatively little investigation of the effects of context exposure immediately after the shock. Some models predict that…
Descriptors: Fear, Learning Processes, Brain Hemisphere Functions, Memory
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Valle, Rebecca Della; Mohammadmirzaei, Negin; Knox, Dayan – Learning & Memory, 2019
Clinical and preclinical studies that have examined the neurobiology of persistent fear memory in posttraumatic stress disorder (PTSD) have focused on the medial prefrontal cortex, hippocampus, and amygdala. Sensory systems, the periaqueductal gray (PAG), and midline thalamic nuclei have been implicated in fear and extinction memory, but whether…
Descriptors: Stress Variables, Fear, Memory, Brain Hemisphere Functions
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Anderson, Francis T.; Rummel, Jan; McDaniel, Mark A. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2018
In prospective memory (PM) research, costs (slowed responding to the ongoing task when a PM task is present relative to when it is not) have typically been interpreted as implicating an attentionally demanding monitoring process. To inform this interpretation, Heathcote, Loft, and Remington (2015), using an accumulator model, found that PM-related…
Descriptors: Memory, Responses, Behavior, Cues
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Kalbe, Felix; Schwabe, Lars – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2020
Stimuli encoded shortly before an aversive event are typically well remembered. Traditionally, this emotional memory enhancement has been attributed to beneficial effects of physiological arousal on memory formation. Here, we proposed an additional mechanism and tested whether memory formation is driven by the unpredictable nature of aversive…
Descriptors: Prediction, Memory, Fear, Conditioning
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Zhang, Yili; Smolen, Paul; Alberini, Cristina M.; Baxter, Douglas A.; Byrne, John H. – Learning & Memory, 2016
Inhibitory avoidance (IA) training in rodents initiates a molecular cascade within hippocampal neurons. This cascade contributes to the transition of short- to long-term memory (i.e., consolidation). Here, a differential equation-based model was developed to describe a positive feedback loop within this molecular cascade. The feedback loop begins…
Descriptors: Inhibition, Animals, Animal Behavior, Brain Hemisphere Functions
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Reike, Dennis; Schwarz, Wolf – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2016
The time required to determine the larger of 2 digits decreases with their numerical distance, and, for a given distance, increases with their magnitude (Moyer & Landauer, 1967). One detailed quantitative framework to account for these effects is provided by random walk models. These chronometric models describe how number-related noisy…
Descriptors: Comparative Analysis, Error Patterns, Numbers, Memory
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Botelho, Anthony F.; Varatharaj, Ashvini; Patikorn, Thanaporn; Doherty, Diana; Adjei, Seth A.; Beck, Joseph E. – IEEE Transactions on Learning Technologies, 2019
The increased usage of computer-based learning platforms and online tools in classrooms presents new opportunities to not only study the underlying constructs involved in the learning process, but also use this information to identify and aid struggling students. Many learning platforms, particularly those driving or supplementing instruction, are…
Descriptors: Student Attrition, Student Behavior, Early Intervention, Identification
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Kim, Dongbeom; Pare, Denis; Nair, Satish S. – Learning & Memory, 2013
The relative contributions of plasticity in the amygdala vs. its afferent pathways to conditioned fear remain controversial. Some believe that thalamic and cortical neurons transmitting information about the conditioned stimulus (CS) to the lateral amygdala (LA) serve a relay function. Others maintain that thalamic and/or cortical plasticity is…
Descriptors: Fear, Brain Hemisphere Functions, Conditioning, Models
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Janssen, Christian P.; Gray, Wayne D. – Cognitive Science, 2012
Reinforcement learning approaches to cognitive modeling represent task acquisition as learning to choose the sequence of steps that accomplishes the task while maximizing a reward. However, an apparently unrecognized problem for modelers is choosing when, what, and how much to reward; that is, when (the moment: end of trial, subtask, or some other…
Descriptors: Rewards, Reinforcement, Models, Memory
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Schneider, Darryl W.; Anderson, John R. – Cognitive Psychology, 2011
We propose and evaluate a memory-based model of Hick's law, the approximately linear increase in choice reaction time with the logarithm of set size (the number of stimulus-response alternatives). According to the model, Hick's law reflects a combination of associative interference during retrieval from declarative memory and occasional savings…
Descriptors: Reaction Time, Memory, Evaluation, Models
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