Ui-Jae Hwang, Oh-Yun Kwon, Jun-Hee Kim
Unsupervised machine learning for clustering forward head posture, protraction and retraction movement patterns based on craniocervical angle data in individuals with nonspecific neck pain
BMC musculoskeletal disorders
project aims investigate effects studentled journal club students critical thinking clinical application skills academic field aging physical activity prepost design analysis data collected four successive cohorts program msc sport movement gerontology conducted student assigned himselfherself study led journal club discussion published summary journal club via graphical abstract social media students rated perceived confidence beginning t0 semester t1 via questionnaire 5point likert scales addressing ability review summarize evidence present journal club lead discussion 41 students 32 women 25 years sd 19 years included journal club rated good median 2 iqr 1 students confidence participating leading journal club transferring results clinical practice improved significantly r 06 p 001 eg feel confident leading discussion literature presented t0 undecided median 3 iqr 2 t1 rather agree median 4 iqr 1 z 541 r 085 p 001 studentled journal club shows effective teaching approach field aging physical activity within applied health science education especially students selfassignment studies involving scientific community via social media rated useful highly motivating students lecturers