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Exploiting Machine Learning Techniques to Discover Physical Fitness Patterns among Diverse Clusters of Female College Students
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Yibing Wang; Yunxiang Pang; Siji Wang; Yiqun Pang; Xiaobing Wang – International Journal of Web-Based Learning and Teaching Technologies, 2025
To target improving the physical fitness for female college students and to meet the individualized needs of different subgroups. A total of 6987 female college students from a teacher training college were assessed for physical fitness. Their fitness indices were analyzed using K-means clustering and GBDT regression algorithms. Based on physical…
Descriptors: Artificial Intelligence, Females, College Students, Physical Fitness
Preservice Teachers' Perspectives of Play in Early Childhood Education
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Seongmi Lim – International Journal of Early Years Education, 2025
Identifying preservice teachers' perspectives about play and their role as a teacher in play is critical because their perspectives are related to how they organise and involve play in early childhood education. However, very few empirical studies have been conducted to examine how preservice teachers view play. In the present study, 46 preservice…
Descriptors: Preschool Teachers, Teacher Attitudes, Preschool Education, Child Development