Pedagogical approaches to exploring theory–practice relationships in an outdoor education teacher education programme
Bibliographic record
Abstract
Understanding theory–practice relationships in pre-service teacher education is an enduring concern for many teacher educators. Drawing on data from an investigation into the theory–practice nexus in an outdoor education teacher education programme, this article examines pedagogical approaches to exploring theory and practice with pre-service teachers. The investigation, a qualitative case study, examined the views of the programme’s teacher educators (authors) using an analytical lens informed by two similar theoretical models.The article focuses on elements that were found to be central to pedagogical approaches within the programme: self-awareness, experience, reflexivity, and a “community of learners.” While the approaches represent a departure from “theory application” and “theory–practice integration” approaches, and a move towards praxis development, the study highlighted challenges and issues including the need for teacher educators to scrutinise theory–practice relationships in their own teaching and discourse. Implications and possibilities for future practice are considered.
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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 | 0.023 | 0.023 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.009 | 0.024 |
| Scholarly communication | 0.011 | 0.006 |
| Open science | 0.003 | 0.010 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.008 | 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".