Does Medical Training Promote or Deter Self-Directed Learning? A Longitudinal Mixed-Methods Study
Bibliographic record
Abstract
PURPOSE: The School of Medicine, University of Saskatchewan curriculum promotes self-direction as one of its learning philosophies. The authors sought to identify changes in self-directed learning (SDL) readiness during training. METHOD: Guglielmino's SDL Readiness Scale (SDLRS) was administered to five student cohorts (N = 375) at admission and the end of every year of training, 2006 to 2010. Scores were analyzed using repeated-measurement analysis. A focus group and interviews captured students' and instructors' perceptions of self-direction. RESULTS: Overall, the mean SDLRS score was 230.6; men (n = 168) 229.5; women (n = 197) 232.3, higher than in the average adult population. However, the authors were able to follow only 275 students through later years of medical education. There were no significant effects of gender, years of premedical training, and Medical College Admission Test scores on SDLRS scores. Older students were more self-directed. There was a significant drop in scores at the end of year one for each of the cohorts (P < .001), and no significant change to these SDLRS scores as students progressed through medical school. Students and faculty defined SDL narrowly and had similar perceptions of curricular factors affecting SDL. CONCLUSIONS: The initial scores indicate high self-direction. The drop in scores one year after admission, and the lack of change with increased training, show that the current educational interventions may require reexamination and alteration to ones that promote SDL. Comparison with schools using a different curricular approach may bring to light the impact of curriculum on SDL.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.006 | 0.029 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.004 |
| Insufficient payload (model declined to judge) | 0.012 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".