How engagement with research changes the professional practice of teacher‐educators: a case study from the Welsh Education Research Network
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
Learning to teach well is a complex task. Teacher‐educators have a significant role to play in enabling students to reflect critically and analyse their own practice. However, there is a danger, as a result of funding pressures and other contrary factors, that many institutions that provide teacher education will become separated from their research base. The Welsh Education Research Network (WERN) is a pilot project funded by the Higher Education Funding Council in Wales and the Economic and Social Research Council with the aim of developing educational research capacity in Wales. This paper provides an analytical account of one research group of teacher‐educators funded by WERN. The case study describes the research activity of the group and the views of its members on its impact for their professional practice. Finally an analysis of the findings concludes that engagement with research has resulted in positive changes to the knowledge, skills and critical awareness of the teacher‐educators which has in turn brought benefits to the learning of their students.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.043 | 0.020 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.003 |
| 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