A Narrative Inquiry into a Newcomer School Principal’s Professional Development for ELLs
Bibliographic record
Abstract
This paper employs narrative inquiry (Clandinin & Connelly, 2000) as the methodology to uncover a school principal’s experiences and perceptions related to ELL teacher professional development. It recognizes educators’ personal practical knowledge as the greatest driving force in their professional growth. Through reflecting on her professional development experiences and narrating her personal practical knowledge in action, this study has provided some practical considerations in designing and enacting ELL teacher professional development. More often than not, teacher professional development focuses on the “best practices” and “research-based programs,” but provides little input from the recipients about their experiences and perspectives. This study strives to break this prevalent model of professional development by gearing towards how an educator/administrator perceives the problems in teacher professional development for ELLs and how to best address their problems. It is hopeful that this study will shed important light on how to construct positive professional development that benefits teachers and ELL students both theoretically and practically.
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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 | 0.010 | 0.012 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.014 | 0.013 |
| Scholarly communication | 0.009 | 0.008 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".