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Direct linkNatalie 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
Download full textMonique de Milander; Elna van der Merwe; Bianca Barnard; Robynne Verster – South African Journal of Childhood Education, 2025
Background: Gross motor difficulties can limit physical activity (PA) participation, contributing to unhealthy body composition. Aim: This study profiled Grade 1 learners' gross motor development, PA and anthropometry and explored relationships between these variables. Setting: A cross-sectional design was followed, including Grade 1 learners (33…
Descriptors: Psychomotor Skills, Body Composition, Physical Activity Level, Motor Development
