Experiential learning, collaboration and reflection: key ingredients in longitudinal faculty development
Bibliographic record
Abstract
BACKGROUND: Longitudinal faculty development (LFD) may allow for increased uptake of teaching skills, especially in a forum where teachers can reflect individually and collectively on the new skills. However, the exact processes by which such interventions are effective need further exploration. METHODS: This qualitative study examined an LFD initiative teaching a novel feedback approach attended by five family practice physicians. The initiative began with two 1.5-hour workshops: Goal-Oriented Feedback (as the teaching skill to be developed) and Narrative Reflection (as the tool to support personal reflection on the skill being learned). Over the subsequent six-months, the five participants iteratively applied the feedback approach in their teaching and engaged in narrative reflection at four 1-hour group sessions. Transcripts from the group discussions and exit interviews were analyzed using thematic analysis. RESULTS: Iteratively trialing, individually reflecting on, and collectively exploring efforts to implement the new feedback approach resulted in the development of a learning community among the group. This sense of community created a safe space for reflection, while motivating ongoing efforts to learn the skill. Individual pre-reflection prepared individuals for group co-reflection; however, written narratives were not essential. CONCLUSION: LFD initiatives should include an emphasis on ensuring opportunities for iterative attempts of teaching skills, guided self-reflection, and collaborative group reflection and learning to ensure sustainable change to teaching practices.
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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 | 0.001 | 0.016 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.009 | 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".