… But Does It Stick? Evaluating the Durability of Improved Knowledge Following an Undergraduate Experiential Geriatrics Learning Session
Bibliographic record
Abstract
Canada's aging population, fewer medical students training in geriatric medicine, and inadequate geriatric curricula require that medical schools immediately address how future physicians will be able to care for older people effectively. The medical literature suggests that experiential learning strategies improve undergraduate medical students' knowledge of and interest in less-popular subjects, but the durability of improvements resulting from these resource-intensive learning approaches remains unclear. In October 2001, a convenience sample of all University of Western Ontario medical students attending the geriatric component of their first year was randomized to attend one 3-hour didactic lecture or 3-hour experiential learning session. Approximately 1 year later, students completed a follow-up knowledge and attitudes survey that was matched to their first-year surveys using date-of-birth data. Of 100 completed follow-up surveys, 42 were used in formal analysis. Although initially the experiential group demonstrated a better knowledge score, at 1-year follow-up, there was no significant difference in knowledge, attitudes toward older people, or interest in geriatric medicine between the didactic (n=17) and experiential (n=25) groups. Nevertheless, these students (n=42) demonstrated better attitude scores than those (n=22) who had not attended either educational intervention. This study challenges the belief that an experiential approach is a superior training method to a didactic approach. One year after an educational intervention, there was no difference in geriatric knowledge, attitude scores, or interest in geriatric medicine between students who underwent a didactic lecture or a participatory, experiential learning session.
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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 | 0.003 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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".