five

Supplementary file 1_The development and assessment of a movement-based coaching program on executive function skills: an exploratory quality improvement study.docx

收藏
NIAID Data Ecosystem2026-05-10 收录
下载链接:
https://figshare.com/articles/dataset/Supplementary_file_1_The_development_and_assessment_of_a_movement-based_coaching_program_on_executive_function_skills_an_exploratory_quality_improvement_study_docx/31890481
下载链接
链接失效反馈
官方服务:
资源简介:
IntroductionExecutive function (EF) skills are integral cognitive processes with strong links to self-regulation and academic success. The post-COVID-19 period has seen an increase in self-reported and diagnosed EF deficits (EFDs). This quality improvement study evaluated the Untapped Learning (UL) program, a personalized, movement and mentorship-based EF program for students aged 11–24, who predominantly have self-reported EFDs. MethodsStudents were paired with trained coaches and participated in weekly one-on-one sessions for the duration of one school semester. Sessions included movement and targeted EF skills training. Students completed pre-post surveys assessing five EF skills (organization, planning, communication, task completion, and mentality) across three school semesters in total. ResultsStudents enrolled in the program showed significant overall improvements across two out of three semesters in a younger population (11–18 years old, n = 222) (p < 0.02 Spring and Fall 2023) and in all semesters in a post-secondary (PS) age population (18–24 years old, n = 90) (p < 0.02 for all semesters). When stratified by sex, males demonstrated greater overall reported improvements than females in both cohorts. Females showed a consistent increase in planning skills in the post-secondary cohorts, indicating potential sex-specific response patterns or survey sensitivity issues. ConclusionThese findings suggest that movement-based EF coaching programs are associated with self-reported EF skill increases and highlight the need for greater sex-specificity in designing personalized mentorship programs.
创建时间:
2026-03-30
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作