Exploring Canadian and American pre-service teachers’ self-efficacy and knowledge of literacy instruction
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
Based on previous work related to pre-service teachers’ self-efficacy for literacy instruction, this study examined their knowledge of literacy instruction and classroom-level contextual factors (i.e. coursework and fieldwork experiences). Pre-service teachers from two distinct contexts (Canada and USA) were given surveys (TSELI and Literacy Instruction Knowledge Scales) at the beginning and end of an elementary literacy methods course. Results indicated a significant difference in pre-service teachers’ total knowledge, and specifically knowledge of reading comprehension instruction from the beginning to the end of the course. As well, there was a relation between pre-service teachers’ knowledge at the end of their course and their literacy-based volunteer experiences. By examining cross-national teacher preparation programmes, we have shed light on pre-service teachers’ literacy knowledge and efficacy beliefs, which may contribute to changes in programmatic curricula.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 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