Peer assessment of professionalism in undergraduate medical education
Bibliographic record
Abstract
BACKGROUND: Fostering professional behaviour has become increasingly important in medical education and non-traditional approaches to assessment of professionalism may offer a more holistic representation of students' professional behaviour development. Emerging evidence suggests peer assessment may offer potential as an alternative method of professionalism assessment. We introduced peer assessment of professionalism in pre-clerkship phases of undergraduate medical education curriculum at our institution and evaluated suitability of adopting a professional behaviour scale for longitudinal tracking of student development, and student comfort and acceptance of peer assessment. METHODS: Peer assessment was introduced using a validated professional behaviours scale. Students conducted repeated, longitudinal assessments of their peers from small-group, clinical skills learning activities. An electronic assessment system was used to collect peer assessments, collate and provide reports to students. Student opinions of peer assessment were initially surveyed before introducing the process, confirmatory analyses were conducted of the adopted scale, and students were surveyed to explore satisfaction with the peer assessment process. RESULTS: Students across all phases of the curriculum were initially supportive of anonymous peer assessment using small-group learning sessions. Peer scores showed improvement over time, however the magnitude of increase was limited by ceiling effects attributed to the adopted scale. Students agreed that the professional behaviours scale was easy to use and understand, however a majority disagreed that peer assessment improved their understanding of professionalism or was a useful learning experience. CONCLUSIONS: Peer assessment of professional behaviours does expose students to the process of assessing one's peers, however the value of such processes at early stages of medical education may not be fully recognized nor appreciated by students. Electronic means for administering peer assessment is feasible for collecting and reporting peer feedback. Improvement in peer assessed scores was observed over time, however student opinions of the educational value were mixed and indeterminate.
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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 | 0.039 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| 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) | 0.004 | 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".