Motor skill learning is a field where implicit and explicit synergistic learning is particularly evident in authentic situations. While current research on analogical learning, an effective method of implicit learning, is largely focused on theoretical discussions and separability studies, there are relatively few studies that combine analogical learning with explicit learning. In this study, a one-way experimental design was utilized to investigate the synergistic effect of analogical learning and explicit learning on the acquisition of forehand hitting skills in beginning tennis players. A total of thirty-nine children aged 6-8 years were randomly assigned to different groups: one group learned through analogical learning after explicit learning, another group learned through analogical learning followed by explicit learning, and the final group learned through alternating analogical and explicit learning. The performance of each group was evaluated based on retention and transfer tests, measuring batting accuracy, action scores, and number of knowledge mastery. The results showed that the group that underwent analogical learning followed by explicit learning performed better compared to the other two groups. These findings provide theoretical support and practical guidance for the learning of tennis skills of children beginners and the teaching of coaches.
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http://dx.doi.org/10.1016/j.heliyon.2024.e38590 | DOI Listing |
Auris Nasus Larynx
January 2025
Department of Otolaryngology, Faculty of Medicine, Teikyo University, Tokyo, Japan. Electronic address:
Pure tone audiometry including "masking" is the most basic test in audiological medicine. Masking is based on theoretical models of sound perception and propagation and has been widely discussed since the 1950s. In Japan, such discussion has been conducted extensively, starting from early periods up to recent times, with success to enable mathematical simulation, but the achievements have little been disclosed to the English-speaking world.
View Article and Find Full Text PDFAtten Percept Psychophys
January 2025
Department of Psychology, The Ohio State University, 225 Psychology Building, 1835 Neil Ave, Columbus, OH, 43210, USA.
Humans can learn to attentionally suppress salient, irrelevant information when it consistently appears at a predictable location. While this ability confers behavioral benefits by reducing distraction, the full scope of its utility is unknown. As people locomote and/or shift between task contexts, known-to-be-irrelevant locations may change from moment to moment.
View Article and Find Full Text PDFJ Theor Biol
January 2025
School of Mathematics and Statistics, Xi'an Jiaotong University, Xi'an, Shaan Xi, 710049, PR China. Electronic address:
There are evidence showing that meteorological factors, such as temperature and humidity, have critical effects on transmission of some infectious diseases, while quantifying the influence is challenging. In this study we develop a learning-explaining framework to discover the particular dependence of transmission mechanisms on meteorological factors based on multiple source data. The incidence rate based on the epidemic data and epidemic model is theoretically identified, and meanwhile the practical discovery of particular formula is feasible through deep neural networks (DNN), symbolic regression (SR) and sparse identification of nonlinear dynamics (SINDy).
View Article and Find Full Text PDFMatern Child Nutr
January 2025
ELEVATE Nutrition, Washington, District of Columbia, USA.
Alive & Thrive has been a major global nutrition initiative that aimed to learn how to improve maternal, infant, young child, and adolescent nutrition and health on a large scale. During 2009-2014, Alive & Thrive developed and implemented interventions to improve infant and young child feeding at scale in three countries. Subsequently, Alive & Thrive expanded its work to more than 15 geographies, including six country-specific and two regional programs, to additionally address maternal and adolescent nutrition while adding agriculture and social protection programs to improve maternal, infant, and young child nutrition.
View Article and Find Full Text PDFPrediction-powered inference (PPI) [1] and its subsequent development called PPI++ [2] provide a novel approach to standard statistical estimation leveraging machine learning systems to enhance unlabeled data with predictions. We use this paradigm in clinical trials. The predictions are provided by disease progression models, providing prognostic scores for all the participants as a function of baseline covariates.
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