Making a Difference Through Sustained In-Service Teacher Training
Bibliographic record
Abstract
This study is based on collaboration between a school and a university on professional development training of 4th and 5th grade elementary school teachers in a southeastern state in the USA. The study was three-pronged and focused on teacher knowledge, pedagogy, and student achievement. We examined how the building of teacher capacity affected the performance of underachieving students in math and literacy. Underachieving students were targeted with specific strategies, projects, problems solving stories, self-reflection, and higher-level thinking questions. Student performance was measured for literacy achievement, with quantitative and qualitative measures used for data collection purposes. Students showed progress over previous years in reading scores. Teachers’ growth in knowledge related to the content area was evidenced by the consistently high mean scores. Teachers’ self-ratings on the frequency of using the targeted strategies were indirect evidence of their implementation in the classroom. The results were positive and showed significant progress over previous years concerning student achievement.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".