Preparing for the first Ontario Teacher Qualifying Test: experiences of teacher candidates and teacher educators at the Ontario Institute for Studies in Education of the University of Toronto
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
This study examined how six teacher candidates and three teacher educators at the Ontario Institute for Studies in Education of the University of Toronto prepared for the first teacher licensure test in Canada in recent times, the Ontario Teacher Qualifying Test. A case study approach was used to document participants' experiences, with subsequent cross-case analyses revealing twelve key themes. Findings indicate that previous experiences with and personal beliefs about high-stakes testing, as well as self-knowledge, influenced how individuals approached test preparation. Additionally, lack of clarity regarding (a) the content and format of the test itself, (b) the purpose of the test, and (c) the way in which it was to be administered, negatively affected participants' experiences in the teacher education program. Nevertheless, most teacher candidates reported being adequately prepared for the test. The study's findings include suggestions for ways to improve future teacher licensure test preparation.
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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 | 0.001 | 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 | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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