Promoting Teacher Ethics in Colleges of Teacher Education in Tanzania: Practices and Challenge
Bibliographic record
Abstract
This paper focuses on the initiatives and challenges of promoting ethics in teacher training colleges. It draws on qualitative data; generated from Dar es Salaam, Iringa and Mbeya regions of Tanzania in East Africa. Data collected reflect views of informants, including teacher educators, school teachers, student teachers, school inspectors, Teachers Service Department (TSD) officers, and education officers. The data was generated from both interviews (primary) and documentary (secondary) sources. Analysis of data involved data reduction, organization, and interpretation (Huberman & Miles 1994). The findings unveiled two major initiatives: the use of college regulations and the teaching of religious code of conduct. Challenges, on the other hand, ranged from the absence of a course related to teacher ethics, professional "incompetence" of teacher educators, shortage of qualified teachers, lack of resources, the moral problem of society or the irresponsibility of parents and society. The study has concluded that without a well-defined education policy in favour of promoting teacher ethics education, efforts to that effect are doomed to fail
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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 | 0.006 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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".