Ian Lundberg, Jennie E Brand, Nanum Jeon
Researcher reasoning meets computational capacity: Machine learning for social science
Social science research
medical education evolved based application pedagogical actions place student protagonist learning process use active teaching methodologies within context higher education teachers use strategies focus student hisher context avoid traditional teaching methods specifically medical schools even greater challenge since teaching methods medical curricula differ used previous schooling consequently students acquire style processing information often incompatible profile medical schools may one factors responsible lack motivation among undergraduates aim study characterize learning styles students enrolled brazilian medical school using feldersoloman index learning styles ils crosssectional descriptive quantitative study included students 1st 6th year brazilian medical school students participating study voluntarily answered 44 questions learning styles feldersilverman instrument validated brazil instrument divided domain consisted 11 questions two response options one could selected domain score 1 point assigned selected option b question learning style category determined difference values data collection tabulation used learning syle platform eda platform developed based felders studies since system processes information dimension analyzed preferred style striking characteristics style results showed sensing preferred learning style students followed sequential visual styles possible determine whether gender age influences choice learning methods homogeneity results present data enable teachers institution involved study plan pedagogical actions improve students selfawareness well teachinglearning skills choosing adequate active methodologies medical education programs considering individuality student class