Measuring and Validating a Transformation Learning Survey Through Social Work Education Research
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This paper presents a reliable tool for measuring transformative learning in undergraduate social work education, the Social Work Transformation Survey (SWTS). The SWTS was developed from a qualitative theoretical model and translated into quantitative scales. The study collected data from 248 undergraduate students from eight countries who participated in a transnational project using creative journaling to facilitate transformative learning. Structural equation modelling was used to validate the internal structure of the SWTS. We then confirmed the measures’ reliability, and subsequently the effectiveness of creative journaling practices as a pedagogy for facilitating transformative learning in social work students. This paper highlights the potential of combining qualitative and quantitative research approaches to develop educational evaluation tools for higher education settings and presents one specific measure for transformative learning.
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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 | 0.007 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 it