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  • 标题:The relationship between assessment methods and self-directed learning readiness in medical education
  • 本地全文:下载
  • 作者:Katherine S. Monroe
  • 期刊名称:International Journal of Medical Education
  • 电子版ISSN:2042-6372
  • 出版年度:2016
  • 卷号:7
  • 页码:75-80
  • DOI:10.5116/ijme.56bd.b282
  • 出版社:IJME
  • 摘要: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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