Returning to Provide Staff Development in Teaching and English Language at an Evangelical Lutheran Church of Tanzania (ELCT)
Bibliographic record
Abstract
This report summarizes the staff development provided to secondary teachers at four dioceses schools in the North and South Pare of Tanzania in 2014. Included is information supporting the need for a seminar on English conversation and teaching strategies, overview of the ELCT schools educational system, the seminar curriculum including past training experiences, the dioceses project proposal submission, and the staff development interest survey. The report also discusses project goals, scheduling and attendance by participants in the seminar at the schools, information about the teachers’ subject content areas of instruction, and reported years of teaching experience. Discussion of classroom visitations and observations and the use of technology are presented. A Post-Evaluation: Staff Development Implementation Survey discussing potential use of the strategies with students is also presented. A teacher evaluation of the seminar and a proposal with further recommendations are provided. This is the fourth on-site seminar provided to the schools since 2006, 2008 and 2011 by the author.
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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 | 0.004 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.024 | 0.004 |
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".