Pre-service teachers becoming researchers: the role of professional learning groups in creating a community of inquiry
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
Abstract Contemporary schools seek to employ teachers who are curious learners, who can employ practitioner inquiry skills to investigate, inform and grow their own classroom practice, responsive to their circumstances. As a profession, the question we must ask is how do we best prepare and continue to equip teachers with the necessary research skills to investigate and inform their own practice? In this study, we share our pedagogical stance and features of our approach in a new core undergraduate subject for pre-service teachers (PSTs). We discuss professional learning groups (PLGs) for initial teacher education students as the main intervention in the subject, and, more specifically, we elaborate how regular participation in PLGs formed in an on-campus subject can help PSTs to become researchers. We draw on 183 student exit tickets and student feedback surveys to consider broader implications for how to engage teachers in research. This study poses questions about the nature of practitioner research and investigates the role that PLGs play in disrupting the challenges universities face in preparing teachers to engage in and with research.
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 | 0.042 | 0.017 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 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