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Sarah H. Solomon; Anna C. Schapiro – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2024
Concepts contain rich structures that support flexible semantic cognition. These structures can be characterized by patterns of feature covariation: Certain features tend to cluster in the same items (e.g., "feathers," "wings," "can fly"). Existing computational models demonstrate how this kind of structure can be…
Descriptors: Concept Formation, Learning Processes, Verbal Stimuli, Visual Stimuli
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
Gaia Olivo; Jonas Persson; Martina Hedenius – npj Science of Learning, 2024
Developmental dyslexia (DD) is defined as difficulties in learning to read even with normal intelligence and adequate educational guidance. Deficits in implicit sequence learning (ISL) abilities have been reported in children with DD. We investigated brain plasticity in a group of 17 children with DD, compared with 18 typically developing (TD)…
Descriptors: Dyslexia, Brain, Children, Training
Solange Denervaud; David A. Tovar; Jean-François Knebel; Emeline Mullier; Yasser Alemán- Gómez; Patric Hagmann; Micah M. Murray – Mind, Brain, and Education, 2024
Error-monitoring is a crucial cognitive process that enables us to adapt to the constantly changing environment. The anterior cingulate cortex (ACC) plays a vital role in error-monitoring, and its prolonged maturation suggests that it can be influenced by experience-dependent plasticity. To explore this possibility, we collected morphometric…
Descriptors: Error Correction, Children, Montessori Schools, Traditional Schools
Delianidi, Marina; Diamantaras, Konstantinos – Journal of Educational Data Mining, 2023
Student performance is affected by their knowledge which changes dynamically over time. Therefore, employing recurrent neural networks (RNN), which are known to be very good in dynamic time series prediction, can be a suitable approach for student performance prediction. We propose such a neural network architecture containing two modules: (i) a…
Descriptors: Academic Achievement, Prediction, Cognitive Measurement, Bayesian Statistics
Hughes, Brenda; Sullivan, Karen A.; Gilmore, Linda – Prospects, 2022
Neuromyths are distorted ideas from neuroscience about the brain and learning. This critical review synthesized data from nine educational neuromyth studies that: (a) used a specific established measure, (b) were published in English, and (c) sampled qualified (in-service) teachers. The total sample comprised 5,259 teachers from 16 countries on…
Descriptors: Misconceptions, Neurosciences, Learning Processes, Brain
Sullivan, Karen A.; Hughes, Brenda; Gilmore, Linda – Mind, Brain, and Education, 2021
Educational neuromyths are incorrect ideas about the brain and learning. These ideas pose a risk if they impact learner outcomes. The concern about neuromyths has spurred global research, including teacher surveys about their identification. If such research leads to corrective strategies, the potential beneficiaries are teachers, students, and…
Descriptors: Neurosciences, Brain, Misconceptions, Learning Processes
Romain Quentin; Lison Fanuel; Mariann Kiss; Marine Vernet; Teodóra Vékony; Karolina Janacsek; Leonardo G. Cohen; Dezso Nemeth – npj Science of Learning, 2021
Knowing when the brain learns is crucial for both the comprehension of memory formation and consolidation and for developing new training and neurorehabilitation strategies in healthy and patient populations. Recently, a rapid form of offline learning developing during short rest periods has been shown to account for most of procedural learning,…
Descriptors: Statistics Education, Learning Processes, Intervals, Thinking Skills
Keerati Kaewkumsai; Songsak Phusee-orn – Higher Education Studies, 2024
This research aims to: 1) Develop an effective Brain-Based Learning (BBL) plan combined with skill practice exercises for Grade 10 students, achieving a performance criterion of 70/70; 2) Compare the learning outcomes in elementary logic before and after implementing the BBL approach combined with skill practice exercises for Grade 10 students; 3)…
Descriptors: Mathematics Achievement, Logical Thinking, Brain, Teaching Methods
Zhao, T. Christina; Corrigan, Neva M.; Yarnykh, Vasily L.; Kuhl, Patricia K. – Developmental Science, 2022
The development of skills related to executive function (EF) in infancy, including their emergence, underlying neural mechanisms, and interconnections to other cognitive skills, is an area of increasing research interest. Here, we report on findings from a multidimensional dataset demonstrating that infants' behavioral performance on a flexible…
Descriptors: Infants, Executive Function, Skill Development, Cognitive Ability
Tadielo, Ana Luiza Trombini; Sosa, Priscila Marques; Mello-Carpes, Pamela Billig – Advances in Physiology Education, 2022
Research investigating how the brain develops and learns profoundly impacts education. Understanding the brain mechanisms responsible for learning and memory and the factors that influence them, such as age, environment, emotions, and motivation, can transform educational strategies by contributing to the development of programs that optimize…
Descriptors: Neurosciences, Brain, Physiology, Educational Innovation
Kim, Hodam; Chae, Younsoo; Kim, Suhye; Im, Chang-Hwan – IEEE Transactions on Learning Technologies, 2023
Owing to the rapid development of information and communication technologies, online or mobile learning content is widely available on the Internet. Unlike traditional face-to-face learning, online learning exhibits a critical limitation: real-time interactions between learners and teachers are generally not feasible in online learning. To…
Descriptors: College Students, Control Groups, Attention, Comprehension
Howard, Lauren H.; Riggins, Tracy; Woodward, Amanda L. – Child Development, 2020
Little is known about the influence of social context on children's event memory. Across four studies, we examined whether learning that could occur in the absence of a person was more robust when a person was present. Three-year-old children (N = 125) viewed sequential events that either included or excluded an acting agent. In Experiment 1,…
Descriptors: Social Environment, Memory, Learning Processes, Toddlers
Taylor, William W.; Imhoff, Barry R.; Sathi, Zakia Sultana; Liu, Wei Y.; Garza, Kristie M.; Dias, Brian G. – Learning & Memory, 2021
Dysfunctions in memory recall lead to pathological fear; a hallmark of trauma-related disorders, like posttraumatic stress disorder (PTSD). Both, heightened recall of an association between a cue and trauma, as well as impoverished recall that a previously trauma-related cue is no longer a threat, result in a debilitating fear toward the cue.…
Descriptors: Brain, Memory, Recall (Psychology), Brain Hemisphere Functions
Jones, Daniella L.; Nelson, Jonathan D.; Opitz, Bertram – Psychology Learning and Teaching, 2021
Anxiety is one of the most prevalent mental health problems; it is known to impede cognitive functioning. It is believed to alter preferences for feedback-based learning in anxious and non-anxious learners. Thus, the present study measured feedback processing in adults (N = 30) with and without anxiety symptoms using a probabilistic learning task.…
Descriptors: Anxiety, Symptoms (Individual Disorders), Correlation, Learning Processes