The Comparison of the New Teacher Induction Program Between China and Canada
Bibliographic record
Abstract
With the lifelong education and the theory of teacher professional development, people have already realized that teacher education is a continuous integration process. Teacher education includes three phases, initial teacher education ? new teacher induction and In-service teacher education, more and more people acknowledge that the teacher induction is the inevitable choice to promote and support the development of teachers' personal growth and professional development, and it is an effective and efficient way to improve teachers' education system and policies.Based on a brief introduction to the new teacher induction program in China and in Ontario,Canada. Mainly use the comparative method,some aspects of inductive teacher eduction system are compared and analyzed such as the background of induction education, the implementation of content and method,structure system, the implementation effect and main problems etc. trying to find the similarities and differences, to provide some reference and inspiration for the theory and practice of our new teacher's vocational 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 | 0.001 | 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 | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 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 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".