The use of free online educational resources by Canadian emergency medicine residents and program directors
Bibliographic record
Abstract
UNLABELLED: Introduction Online educational resources (OERs) are increasingly available for emergency medicine (EM) education. This study describes and compares the use of free OERs by the Royal College of Physicians and Surgeons of Canada (RCPSC) EM residents and program directors (PDs) and investigates the relationship between the use of OERs and peer-reviewed literature. METHODS: A bilingual, online survey was distributed to RCPSC-EM residents and PDs using a modified Dillman method. The chi-square test and Fisher's exact test were used to compare the responses of residents and PDs. RESULTS: The survey was completed by 214/350 (61%) residents and 11/14 (79%) PDs. Free OERs were used by residents most frequently for general EM education (99.5%), procedural skills training (96%), and learning to interpret diagnostic tests (92%). OER modalities used most frequently included wikis (95%), file-sharing websites (95%), e-textbooks (94%), and podcasts (91%). Residents used wikis, podcasts, vodcasts, and file-sharing websites significantly more frequently than PDs. Relative to PDs, residents found entertainment value to be more important for choosing OERs (p<0.01). Some residents (23%) did not feel that literature references were important, whereas all PDs did. Both groups reported that OERs increased the amount of peer-reviewed literature (75% and 60%, respectively) that they read. CONCLUSIONS: EM residents make extensive use of OERs and differ from their PDs in the importance that they place on their entertainment value and incorporation of peer-reviewed references. OERs may increase the use of peer-reviewed literature in both groups. Given the prevalence of OER use for core educational goals among RCPSC-EM trainees, future efforts to facilitate critical appraisal and appropriate resource selection are warranted.
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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 | 0.002 | 0.023 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".