ERIC ED479957: BRAC's Non-Formal Primary Education (NFPE) Teacher Training Program. Panel Paper (Summary).
Bibliographic record
Abstract
BRAC (formerly Bangladesh Rural Advancement Committee), the largest Indigenous nongovernmental organization in the world, has a unique teacher training program in rural Bangladesh. Almost all BRAC teacher-trainees are rural women, who must have completed at least 9 years of schooling. Trainees spend only 12 days in initial basic teacher training before commencing their teaching duties in a first-grade, multi-age classroom. With monthly refresher courses and continuous close supervision by BRAC education program field staff, these paraprofessionals deliver a primary education that has been found to equal or surpass the education provided by the formal government-funded primary system. In 1999, the program operated more than 35,000 schools in over one quarter of Bangladeshi villages, serving the poorest rural children untouched by the formal system. This paper describes program elements in detail, compares them to features of the government system, and suggests possible reasons for BRAC's success. The elements described include: teacher characteristics and selection, initial basic training, school orientation for new teachers, monthly refresher training, "batch" teachers (local teachers who help facilitate monthly training sessions), workshops and ongoing training, organization of BRAC classrooms, "program organizers" (frontline teacher support staff), and senior support staff (managerial and pedagogical). Compared to government teachers, BRAC teachers have less formal education, but their training offers much more practical exposure and they are better supervised. (SV)
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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 | 0.005 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.512 | 0.017 |
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; both teacher heads agree on what is shown here.
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".