2001 Pan-Canadian Education Research Agenda Symposium Teacher Education/Educator Training: Current Trends and Future Directions
Bibliographic record
Abstract
This article addresses the question What approaches, experiences and resources foster lifelong learning of teachers? drawing from a qualitative study of an approach to teacher development and supervision recently mandated in Alberta: teacher professional growth plans. The study interviewed teachers, principals, and superintendents in various jurisdictions about their experiences, perceptions and challenges implementing growth plans. The article first presents significant issues in current debates about lifelong learning in general and teachers ’ professional development in particular, then describes the research findings in terms of approaches, experiences and resources that appear to best enable teachers ’ learning. The article concludes that when implemented with commitment, affirmation and collaboration, teacher professional growth plans are a positive first step towards fostering learning communities in schools. Recommendations and cautions for the development and implementation of growth plan policies are provided, based on the Alberta experience.
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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 | 0.019 | 0.015 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.010 | 0.023 |
| Science and technology studies | 0.014 | 0.007 |
| Scholarly communication | 0.016 | 0.010 |
| Open science | 0.003 | 0.005 |
| Research integrity | 0.007 | 0.006 |
| Insufficient payload (model declined to judge) | 0.023 | 0.003 |
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".