Trading Places: From Physical Education Teachers to Teacher Educators
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
Recently, there has been an increase in research on becoming teacher educators, yet little is known about becoming physical education teacher educators (PETE). Responding to concerns about the current state of doctoral PETE programs and inadequate preparation of novice teacher educators, this paper explores our transition from high school teaching to university-based PETE. Employing self-study methodologies we used ourselves as data gathering tools to improve our understandings of self and practice. Our analysis showed that we struggled with the transition from teacher to teacher educator, primarily in navigating the different pedagogies required in teacher education. Based on our high school and PETE experiences, we drew on different sources to shape our respective pedagogies of teacher education. Future PETEs may benefit from structured learning about teaching teachers where they can discover and explore teacher education theory and practice, or be provided with opportunities to observe experienced colleagues and engage in discussion about PETE programming and practice with mentors.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 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