The impact of a teacher education course on pre‐service teachers' beliefs about inclusion: an international comparison
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
In this comparative study, the impact of two stand‐alone university courses on pre‐service teachers' attitudes, concerns and teaching efficacy to teach in inclusive classrooms is examined. Twenty‐eight pre‐service teachers ( PSTs ) from A ustralia and 60 PSTs from C anada completed a survey at pre‐ and post‐stages of the course. It was found that after completion of the course, Australian participants' attitudes improved, their concerns declined, and they became more confident in their ability to teach in inclusive classrooms. Similarly, C anadian participants' concerns declined and their teaching efficacy improved, but they became more apprehensive about teaching in inclusive classrooms. Relationships among the three variables (attitudes, concerns and teaching efficacy) were examined at pre‐ and post‐test stages for both cohorts to understand how they interacted within each of the two countries. Implications of the findings for teacher education are discussed.
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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 | 0.006 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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