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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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Cohn, Neil – Cognitive Research: Principles and Implications, 2021
Research in verbal and visual narratives has often emphasized backward-looking inferences, where absent information is subsequently inferred. However, comics use conventions like star-shaped "action stars" where a reader "knows" events are undepicted "at that moment," rather than omitted entirely. We contrasted the…
Descriptors: Inferences, Cognitive Processes, Brain, Visual Learning
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Günes, Gökhan; Sahin, Volkan – Education 3-13, 2019
This study examines pre-school children's learning styles by utilising a mathematical model. The model uses a Euclidean geometry algorithm to generate a graphical representation of the learning styles. The algorithm of the developed mathematical model was developed as a practical application of the theoretical assumptions. Index of Learning Styles…
Descriptors: Mathematical Models, Cognitive Style, Preschool Children, Early Childhood Education
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Broschard, Matthew B.; Kim, Jangjin; Love, Bradley C.; Wasserman, Edward A.; Freeman, John H. – Learning & Memory, 2019
A prominent theory of category learning, COVIS, posits that new categories are learned with either a declarative or procedural system, depending on the task. The declarative system uses the prefrontal cortex (PFC) to learn rule-based (RB) category tasks in which there is one relevant sensory dimension that can be used to establish a rule for…
Descriptors: Task Analysis, Brain Hemisphere Functions, Learning Processes, Animals
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Loftus, Jay J.; Jacobsen, Michele; Wilson, Timothy D. – British Journal of Educational Technology, 2017
Understanding the relationship between cognitive processing and learner performance on tasks using digital media has become increasingly important as the transition towards online learning programs increases. Determining the impact of implementation of instructional resources is often limited to performance outcomes and comparisons to the status…
Descriptors: Cognitive Processes, Difficulty Level, Brain, Brain Hemisphere Functions
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McMahon, Kendra; Yeh, Chloe Shu-Hua; Etchells, Peter J. – Mind, Brain, and Education, 2019
Initial teacher education (ITE) offers an underutilized opportunity for bridging the gap between neuroscience research and educational practice. This article reports on innovations embedded within an ITE program to support trainee teachers to recognize and challenge the persistence of neuromyths. Education researchers, neuroscientists, and…
Descriptors: Preservice Teacher Education, Neurosciences, Educational Practices, Misconceptions
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Singh, Sonia; Walk, Anne M.; Conway, Christopher M. – Annals of Dyslexia, 2018
Previous research suggests that individuals with developmental dyslexia perform below typical readers on non-linguistic cognitive tasks involving the learning and encoding of statistical-sequential patterns. However, the neural mechanisms underlying such a deficit have not been well examined. The aim of the present study was to investigate the…
Descriptors: Statistics, Dyslexia, Cognitive Processes, Brain Hemisphere Functions
Kumar, S. Prasanna – Online Submission, 2018
Sensory integration takes place in the central nervous system where complex interactions such as co-ordination, attention, arousal levels, autonomic functioning, emotions, memory and higher level cognitive functions are carried out. Sensory integration gets information through the senses, puts it together with prior knowledge, information and…
Descriptors: Science Instruction, Sensory Integration, Teaching Methods, Short Term Memory