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Ye Li; Viridiana L. Benitez – Child Development Perspectives, 2025
In infancy, sensorimotor capacities directly affect learning. Although developmental scientists have studied the link between sensorimotor capacities and learning, their work has focused primarily on a narrow window of time connecting just two domains. In this article, we propose that considering concurrences across multiple time points and…
Descriptors: Infants, Perceptual Motor Learning, Sensory Training, Perceptual Development
Pasquale Cardellicchio; Sara Borgomaneri – npj Science of Learning, 2025
The consolidation process stabilizes a new initially labile memory. This consolidation could operate on a shorter timescale during wakefulness after initial motor learning. Within micro-offline learning states, sequences of simple individual actions learned through interleaved practice are condensed into a unified skill through a time-dependent…
Descriptors: Brain, Brain Hemisphere Functions, Genetics, Cognitive Processes
Laura A. Malone; Nayo M. Hill; Haley Tripp; Vadim Zipunnikov; Daniel M. Wolpert; Amy J. Bastian – npj Science of Learning, 2025
The ability to adjust movements in response to perturbations is key for an efficient and mature nervous system, which relies on two complementary mechanisms -- feedforward adaptation and feedback control. We examined the developmental trajectory of how children employ these two mechanisms using a previously validated visuomotor rotation task,…
Descriptors: Motion, Children, Human Body, Feedback (Response)
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
Roberto Vagnetti; Michele Vicovaro; Andrea Spoto; Luca Battaglini; Margherita Attanasio; Marco Valenti; Monica Mazza – Journal of Autism and Developmental Disorders, 2025
Individuals with Autism Spectrum Disorder (ASD) present atypical sensory processing in the perception of moving stimuli and biological motion. The present study aims to explore the performance of young adults with ASD in a time to contact (TTC) estimation task involving social and non-social stimuli. TTC estimation involves extrapolating the…
Descriptors: Young Adults, Autism Spectrum Disorders, Sensory Experience, Perceptual Motor Learning
Victoria Descrettes-Demey; Baptiste Demey; Cécile Crovetto; Anaïs Simonnot; Patrick Berquin; Djamal-Dine Djeddi; Véronique Bury; Hélène Lahaye; Nathalie Rey; Jean-Marc Guilé; Xavier Benarous – Review Journal of Autism and Developmental Disorders, 2025
Sensory processing difficulties are worth exploring in youths with ASD and feeding problems considering their high frequency and therapeutic potential. To synthesize prior knowledge and discrepancies between studies, a systematic review and meta-analysis were conducted. The quality of the 16 reviewed studies was regarded as moderate. The…
Descriptors: Autism Spectrum Disorders, Students with Disabilities, Eating Disorders, Correlation
Enhancing Executive Function in Children and Adolescents through Motor Learning: A Systematic Review
Madison J. Richter; Hassan Ali; Maarten A. Immink – Journal of Motor Learning and Development, 2025
Enhancing executive function in children and adolescents can have significant positive impact on their current and future daily lives. Upregulation of executive function associated with motor skill acquisition suggests that motor learning scenarios provide valuable developmental opportunities to optimize executive function. The present systematic…
Descriptors: Executive Function, Children, Adolescents, Motor Development
Dmitry Chumachenko; Anna Shvarts; Anna Dreneva; Anatoly Krichevets – Educational Studies in Mathematics, 2025
Efficient recognition of geometric shapes is an important aspect of proficiency in geometry. Building theoretically on the cultural-historical approach enriched by the physiology of activity, we investigate theoretical perception in geometry--the ability to recognize conceptual geometric aspects of visual figures. Aiming to understand the…
Descriptors: Eye Movements, Geometric Concepts, Recognition (Psychology), Perceptual Motor Learning
Alvin Vista; Helyn Kim – Educational and Developmental Psychologist, 2025
Objective: Measurement tools for children's foundational skills provide important insights towards the developmental mechanisms of these domains. This study examines the structure of sensorimotor, visuospatial processing (VP), executive function (EF) skills and their interrelationship. The NEPSY is a widely-used neuropsychological instrument, but…
Descriptors: Spatial Ability, Elementary School Students, Perceptual Motor Learning, Multisensory Learning
Lonneke Boels; Arthur Bakker; Wim Van Dooren; Paul Drijvers – Educational Studies in Mathematics, 2025
Many students persistently misinterpret histograms. This calls for closer inspection of students' strategies when interpreting histograms and case-value plots (which look similar but are different). Using students' gaze data, we ask: "How and how well do upper secondary pre-university school students estimate and compare arithmetic means of…
Descriptors: Secondary School Students, Learning Strategies, Data Interpretation, Graphs
Gregory J. Crowther; Merrill D. Funk; Kelly M. Hennessey; Marcus M. Lawrence – Advances in Physiology Education, 2025
Learning objectives (LOs) are a pillar of course design and execution and thus a focus of curricular reforms. This study explored the extent to which the creation and usage of LOs might be facilitated by three leading chatbots: ChatGPT-4o, Claude 3.5 Sonnet, and Google Gemini Advanced. We posed three main questions, as follows: "question…
Descriptors: Artificial Intelligence, Learning Objectives, Technology Uses in Education, Curriculum Design