Evaluating an embodied mindfulness approach to teach reflective practice to MSW students: a mixed methods case study
Bibliographic record
Abstract
Reflection is a key component of practice, supporting social workers to learn from past experiences and navigate the uncertainty and ambiguity that is common within our work. While the benefits of reflective practice are well documented, there remains considerable debate as to how it is taught and evaluated, with variability across the health and social service professions. The authors sought to evaluate an embodied approach to teaching reflective practice, grounded in mindfulness and contemplative pedagogy. Using a mixed-methods case study research design, we evaluated the teaching approach by triangulating three sources of data: questionnaires, written reflective exercises, and a focus group. The findings suggest that the teaching approach described in this study supported participants to develop the competency of reflection in a way that was distinct from previous learning. It also supported participants to strengthen learning about themselves, both personally and professionally, and to apply mindfulness and reflection in practice. The authors see potential for expanding this teaching approach beyond the specific context of a social work direct practice course in mindfulness and recommend research to further explore adaptation of the approach.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.035 | 0.037 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.006 | 0.005 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.004 | 0.005 |
| Research integrity | 0.005 | 0.003 |
| Insufficient payload (model declined to judge) | 0.002 | 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 source (direct Gemma or distilled Codex), 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".