The process(es) of learning about teaching using models-based practice: Pre-service teachers’ experiences
Bibliographic record
Abstract
This research takes on the recommendation to continue examining the use of models-based practice (MbP) in diverse contexts by considering pre-service teachers’ (PSTs’) experiences of learning to teach using MbP in a physical education teacher education (PETE) program in Norway. Guided by the theory of a pedagogy of teacher education ( Loughran, 2006 ), this research was driven by the question: “What are PSTs’ experiences of learning about teaching using MbP in one comprehensive PETE course?” The context was a 15-credit PETE course taught collaboratively by four teacher educators to two cohorts of first-year undergraduate PSTs (25 PSTs in each cohort). Data were generated through a total of 24 focus group interviews with eight PST groups before, during, and upon completion of the course. A hybrid approach of inductive and deductive theme development enabled us to produce knowledge of how PSTs’ learning evolved through four phases: (a) (traditional) assumptions about physical education and teacher education, (b) learning about and through a new way of teaching and learning physical education, (c) challenging and being challenged by the traditional “gym” culture in schools, and (d) understanding what it means to be and become a (physical education) teacher. This research offers support to claims about the challenges in creating coherence at different levels in PSTs’ learning experiences in a Norwegian PETE program. At the same time, we show that MbP can provide PSTs with a coherent learning experience, potentially resulting in changes to how PSTs think about teaching physical education.
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How this classification was reachedexpand
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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".