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Natalie Lander; Tao Zhou; Anna Timperio; Lisa M. Barnett; Yuxin Zhang – Journal of Motor Learning and Development, 2025
Purpose: This study developed and evaluated a video-based machine learning model to automate motor competence assessment and created a user-friendly web platform for teachers and coaches. Methods: A total of 1,063 children (mean age: 7.8 years) performed seven motor skills, recorded on video and assessed by experts using the Test of Gross Motor…
Descriptors: Artificial Intelligence, Computer Uses in Education, Motor Development, Children
Markel Rico-González, Editor – Routledge, Taylor & Francis Group, 2025
This book provides a scientific foundation for the design of physical education and movement education in early childhood, focusing on the key development stage between 3 and 6 years of age. Drawing on cutting-edge contemporary research, the book examines physical education as a process for promoting holistic development and well-being of children…
Descriptors: Physical Education, Early Childhood Education, Movement Education, Preschool Children
Jones, Thomas L. – 1971
A basic unsolved problem in science is that of understanding learning, the process by which people and machines use their experience in a situation to guide future action in similar situations. The ideas of Piaget, Pavlov, Hull, and other learning theorists, as well as previous heuristic programing models of human intelligence, stimulated this…
Descriptors: Artificial Intelligence, Computer Programs, Cybernetics, Eye Hand Coordination