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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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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
IJME
2016
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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 |
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. |
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