This quasi-experimental study examined the effect of a mechanics course delivered through a Learning Management System (LMS) on the creativity of prospective physics teachers at a teacher training college in Mataram, Indonesia. The study was conducted in the post-pandemic era. Using a pretest-posttest one-group design, the researchers evaluated changes in creativity across three domains: figural, numeric, and verbal. The results showed significant improvements in overall creativity, with the most critical gains observed in the figural domain. Further analysis revealed that fluency was the creative indicator with the most enhancement. In contrast, other indicators displayed varying degrees of improvement. These findings highlight the potential of LMS-based instruction in fostering creativity among future physics educators, particularly in the figural, numeric, and verbal domains. This study adds to the growing body of evidence supporting technology integration into teacher education, especially during times of crisis. Future research should explore more targeted instructional strategies within LMS environments and utilize comprehensive creativity assessment methods further to enhance creative learning experiences for prospective physics teachers.

This article aims to explore the training model of preschool physical education teachers based on the theory of "space, capital, and habits". Preschool physical education plays an important role in the development of children's physical fitness and cognitive abilities. This article first introduces the theory of "space, capital, and habits", including its definition and core concepts, as well as its application value in teacher training. Subsequently, a training model for preschool physical education teachers based on this theory was proposed, which includes three elements: space, capital, and habits. In terms of space, it is emphasized to create an environment and place conducive to the professional development of preschool physical education teachers, such as the construction of training institutions and internship bases, and the support of teaching environment and resources. In terms of capital, emphasis is placed on cultivating the professional knowledge and abilities of preschool physical education teachers, including curriculum design and teaching methods, teacher team construction, and professional development mechanisms. In terms of habits, emphasis is placed on cultivating the professional literacy and educational attitude of preschool physical education teachers, including practical links and social participation, evaluation and feedback mechanisms. This training model aims to improve the quality and effectiveness of preschool physical education teacher training, and provide theoretical guidance and practical suggestions for preschool physical education teacher training.

This research presents a novel approach utilizing a self-enhanced chimp optimization algorithm (COA) for feature selection in crowdfunding success prediction models, which offers significant improvements over existing methods. By focusing on reducing feature redundancy and improving prediction accuracy, this study introduces an innovative technique that enhances the efficiency of machine learning models used in crowdfunding. The results from this study could have a meaningful impact on how crowdfunding campaigns are designed and evaluated, offering new strategies for creators and investors to increase the likelihood of campaign success in a rapidly evolving digital funding landscape.