Evidence for curricular and instructional design approaches in undergraduate medical education: An umbrella review
Bibliographic record
Abstract
INTRODUCTION: An umbrella review compiles evidence from multiple reviews into a single accessible document. This umbrella review synthesizes evidence from systematic reviews on curricular and instructional design approaches in undergraduate medical education, focusing on learning outcomes. METHODS: We conducted bibliographic database searches in Medline, EMBASE and ERIC from database inception to May 2013 inclusive, and digital keyword searches of leading medical education journals. We identified 18,470 abstracts; 467 underwent duplicate full-text scrutiny. RESULTS: Thirty-six articles met all eligibility criteria. Articles were abstracted independently by three authors, using a modified Kirkpatrick model for evaluating learning outcomes. Evidence for the effectiveness of diverse educational approaches is reported. DISCUSSION: This review maps out empirical knowledge on the efficacy of a broad range of educational approaches in medical education. Critical knowledge gaps, and lapses in methodological rigour, are discussed, providing valuable insight for future research. The findings call attention to the need for adopting evaluative strategies that explore how contextual variabilities and individual (teacher/learner) differences influence efficacy of educational interventions. Additionally, the results underscore that extant empirical evidence does not always provide unequivocal answers about what approaches are most effective. Educators should incorporate best available empirical knowledge with experiential and contextual knowledge.
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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 | 0.009 | 0.032 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 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".