Developing deep understanding of teacher education practice through accessing and responding to pre-service teacher engagement with their learning
Bibliographic record
Abstract
In this research we examined the ways we accessed and responded to students’ engagement with a set of pedagogical principles of teacher education focused on meaningful physical education. The research was cross-cultural, taking place in universities in Country 1 and Country 2. Self-study of teacher education practice (S-STEP) methodology guided collection and analysis of the following data over one year: lesson planning and reflection documents, and critical friend and ‘meta-critical friend’ interactions. Findings indicate the value in teacher educators becoming more intentional and systematic in how they access student perspectives related to engagement with learning experiences of pedagogical innovations in pre-service teacher education, while also emphasising the challenges in doing so. The concepts of reflection on- and in-action provided a framework for understanding how being more intentional about accessing student perspectives can be enacted in teacher education practice. Our experiences demonstrate how focusing on student engagement can support the professional learning of teacher educators through enabling a deeper understanding of the challenges faced in being responsive to students’ engagement with their learning.
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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 | 0.009 | 0.020 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.011 |
| Scholarly communication | 0.008 | 0.007 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.002 | 0.004 |
| 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".