E Kalluçi, B Preni, X Dhamo, E Noka, S Bardhi, A Macchia, G Bonetti, K Dhuli, K Donato, M Bertelli, L J M Zambrano, S Janaqi
A comparative study of supervised and unsupervised machine learning algorithms applied to human microbiome
La Clinica terapeutica
exploring student motivation learn research area rapidly expanded past decade especially covid19 pandemic continues influence education field anatomy research motivation learn targets medical health professional students little known factors drive students enrolled science degrees aims mixedmethods study determine 1 motivates undergraduate university science students learn anatomy whether motivation differs cohorts second thirdyear gender 2 impact covid19 motivation learn students n 171 completed survey science motivation questionnaire ii smqii questions learning experiences pandemic subset n 12 participated focus groupsinterviews quantitative data analyzed using combination parametric nonparametric statistics general inductive approach applied qualitative data grade intrinsic career factors consistently identified key components motivation statistically significant differences found motivation components level study gender students reported covid19 pandemic negatively impacted motivational components also fasttracked development online learning positive negative connotations students value traditional inperson lectures support blended approach traditional online teaching methods learning anatomy educators utilize findings considering teach support science students ways embrace motivational components foster success studying anatomy