Developing a Tool for Assessing Students' Reflections on Their Practice
Bibliographic record
Abstract
The concepts of reflection and reflective practice, introduced by Schon, have been widely adopted in social work education where students are expected to demonstrate reflection in practice as a learning outcome. This brief paper reports on the development and testing of a tool for assessment of students' reflections on their practice following their performance in an objective structured clinical examination (OSCE) adapted for social work. Phase One involved an iterative process of conceptualizing and defining dimensions of reflection; identifying practice scenarios with specific issues to be played by ‘standardized clients’; creating a set of questions for use by the rater in a reflective dialogue with the student; and creating a five-point rating scale. In Phase Two the scale was tested in a study with a five-scenario OSCE with 11 current MSW students, seven recent graduates and five experienced social workers. The study demonstrated promising reliability in the OSCE approach and scales and indicated construct validity in that it differentiated between social workers in training and experienced workers. Its potential for use in the measurement of outcomes is discussed.
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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 | 0.015 | 0.060 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".