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The relationship between assessment methods and self-directed learning readiness in medical education

OBJECTIVES:   This research explored the assessment of self-directed learning readiness within the comprehensive evaluation of medical students’ knowledge and skills and the extent to which several variables predicted participants’ self-directed learning readiness prior to their graduation. METHODS:...

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Detalles Bibliográficos
Autor principal: Monroe, Katherine S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: IJME 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4800022/
https://www.ncbi.nlm.nih.gov/pubmed/26970653
http://dx.doi.org/10.5116/ijme.56bd.b282
Descripción
Sumario:OBJECTIVES:   This research explored the assessment of self-directed learning readiness within the comprehensive evaluation of medical students’ knowledge and skills and the extent to which several variables predicted participants’ self-directed learning readiness prior to their graduation. METHODS:   Five metrics for evaluating medical students were considered in a multiple regression analysis.  Fourth-year medical students at a competitive US medical school received an informed consent and an online survey.  Participants voluntarily completed a self-directed learning readiness scale that assessed four subsets of self-directed learning readiness and consented to the release of their academic records. RESULTS:   The assortment of metrics considered in this study only vaguely captured students’ self-directedness.  The strongest predictors were faculty evaluations of students’ performance on clerkship rotations.  Specific clerkship grades were mildly predictive of three subscales.  The Pediatrics clerkship modestly predicted critical self-evaluation (r=-.30, p=.01) and the Psychiatry clerkship mildly predicted learning self-efficacy (r =-.30, p=.01), while the Junior Surgery clerkship nominally correlated with participants’ effective organization for learning (r=.21, p=.05).  Other metrics examined did not contribute to predicting participants’ readiness for self-directed learning. CONCLUSIONS:   Given individual differences among participants for the variables considered, no combination of students’ grades and/or test scores overwhelmingly predicted their aptitude for self-directed learning.  Considering the importance of fostering medical students’ self-directed learning skills, schools need a reliable and pragmatic approach to measure them.  This data analysis, however, offered no clear-cut way of documenting students’ self-directed learning readiness based on the evaluation metrics included.