The role of video-assisted feedback sessions in resident teaching: A pre-post intervention
Bibliographic record
Abstract
<ns4:p>This article was migrated. The article was marked as recommended. Purpose: Despite providing a large component of teaching to trainees, internal medicine residents receive little feedback on their teaching ability. Methods: This was a single-center, mixed methods study of 19 senior internal medicine residents in Canada. Classroom-based teaching sessions delivered by the participants were individually video recorded. The individual recording was then watched by the participant and by two feedback facilitators, who then met for face-to-face feedback. Participants completed a self-reflective exercise after this intervention. Audience members of the recorded session and a post-feedback teaching session completed an evaluation form. Scores from the evaluation forms from each phase were analyzed with the Wilcoxon Signed-Rank Test. Inductive coding was performed for qualitative data from the feedback sessions and reflective exercises. Results: 19 residents participated. There was no statistical difference in the evaluation form scores between the pre-intervention and post-intervention teaching sessions. Mean scores varied from 4.6 to 5.0 out of 5.0 on combined pre-and post-intervention evaluations. 89% of participants found viewing their recorded session useful. 94% of residents stated the intervention was worth continuing. Common themes of feedback and self-evaluation included "time-management," "organization," "communication," and "environment." Conclusion: Video-assisted feedback of teaching improved self-perception of a resident's teaching ability.</ns4:p>
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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 | 0.004 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".