From a Guided Teacher into Leader: A Three-Stage Professional Development (TSPD) Model for Empowering Teachers
Bibliographic record
Abstract
A three-stage professional development (TSPD) model for training experienced teachers to become teachers’ leaders is presented here, along with a study assessing its value. The three stages of the model are:  a “basic training” stage, a “master-teacher” stage, and an “independent implementation” stage. This qualitative study included open questionnaires and interviews of participants and course leader after the various stages. Statements were classified accordingly to three main themes: ‘teachers as pedagogues’, ‘teachers’ involvement in environmental science (ES) community’, and ‘teachers’ as leaders’. Results show that participating in the TSPD course enabled teachers to unify into one coherent community with similar goals, increased their self-confidence, empowered them as teachers by improving classroom function, and intensified their abilities to act as teachers’ leaders. This model, although tested on environmental science teachers, is applicable to any teacher community.
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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 | 0.007 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.003 | 0.004 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".