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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
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
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
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
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
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
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
Roser, Matthew E.; Fiser, Jozsef; Aslin, Richard N.; Gazzaniga, Michael S. – Journal of Cognitive Neuroscience, 2011
Several studies report a right hemisphere advantage for visuospatial integration and a left hemisphere advantage for inferring conceptual knowledge from patterns of covariation. The present study examined hemispheric asymmetry in the implicit learning of new visual feature combinations. A split-brain patient and normal control participants viewed…
Descriptors: Brain Hemisphere Functions, Visual Learning, Patients, Visual Discrimination
Stevens, Debbie; Cadorette, Deborah – Physical Educator, 2012
The purpose of this article is to examine the background and purpose of using dominance profiles to assist coaches in determining learning preferences for themselves and their athletes. Dominance profiles can provide information that will help coaches understand the differences in how athletes think, act, and learn. Dominance profiles can help…
Descriptors: Profiles, Children, Teaching Methods, Athletes
Landin, Jennifer – ProQuest LLC, 2011
The use of drawing in the classroom has a contentious history in the U.S. education system. While most instructors and students agree that the activity helps students focus and observe more details, there is a lack of empirical data to support these positions. This study examines the use of three treatments (writing a description, drawing a…
Descriptors: Student Behavior, Verbal Learning, Biology, Cognitive Processes
van Asselen, Marieke; Almeida, Ines; Andre, Rui; Januario, Cristina; Goncalves, Antonio Freire; Castelo-Branco, Miguel – Neuropsychologia, 2009
Implicit contextual learning refers to the ability to memorize contextual information from our environment. This contextual information can then be used to guide our attention to a specific location. Although the medial temporal lobe is important for this type of learning, the basal ganglia might also be involved considering its role in many…
Descriptors: Context Effect, Patients, Learning Processes, Brain Hemisphere Functions
Hirano, Yoshiyuki; Fujita, Masafumi; Watanabe, Kazuko; Niwa, Masami; Takahashi, Toru; Kanematsu, Masayuki; Ido, Yasushi; Tomida, Mihoko; Onozuka, Minoru – Brain and Cognition, 2006
The functional link between the amygdala and hippocampus in humans has not been well documented. We examined the effect of unpleasant loud noise on hippocampal and amygdaloid activities during picture encoding by means of fMRI, and on the correct response in humans. The noise reduced activity in the hippocampus during picture encoding, decreased…
Descriptors: Neurolinguistics, Acoustics, Visual Learning, Cognitive Processes
Schneps, Matthew H.; Rose, L. Todd; Fischer, Kurt W. – Mind, Brain, and Education, 2007
The central and peripheral visual fields are structurally segregated in the brain and are differentiated by their anatomical and functional characteristics. While the central field appears well suited for tasks such as visual search, the periphery is optimized for rapid processing over broad regions. People vary in their abilities to make use of…
Descriptors: Reading Difficulties, Dyslexia, Visual Learning, Brain
Freed, Jeff – Understanding Our Gifted, 2006
In working with right-brained or visual spatial children for the past 20 years, the author has noticed that they all learn in a similar manner. He has also noticed that a high percentage of gifted children are visual spatial learners. The more visual spatial a child is, the higher the potential for school difficulties. Since most teachers are…
Descriptors: Gifted, Spatial Ability, Visual Stimuli, Teaching Methods
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