Ethical Conflicts and Moral Dilemmas Experienced by Physical Education Teachers in Tanzania
Bibliographic record
Abstract
The purpose of this study was to explore the ethical conflicts and moral dilemmas (ECMD) experienced by Physical Education (PE) teachers. The study also thought to explore the influence of demographic and institutional characteristics on the ECMD experienced by PE teachers. The experience of PE teachers is unique because of the nature of their duties in and outside the classroom and school environments where there are a lot of interactions. The study utilized descriptive survey design and was conducted in secondary schools and teachers’ colleges that had PE and sport programs. Purposive sampling was adopted to select PE teachers, students and heads of institutions and data were collected through questionnaire. Results revealed that PE teachers faced ethical conflicts and moral dilemmas in their duties (M =3.4, SD = .79). ECD facing PE teachers differed significantly across institutional location [t (411.33) = 2.453, p =.015)], institutional ownership [F (3, 788) = 5.01, p =.002)] and type of institution [(t (50) = -2.45, p = .019)]. There were no significant differences across age categories [F (4, 47) = .500, p = .736)], educational levels [F (3, 48) = 1.648, p = .191)], gender [t (50) = .383, p = .703], marital status [t (50) = .439, p = .663] and teaching experience [F (3, 48 =.638, p =.594]. It was concluded that ECD are prevalent in secondary schools and teachers colleges. PE teachers whose institutions are located in urban areas face more ECD than those located in rural areas. Religious and military-owned institutions face less ECD than government and privately-owned institutions. Moreover, PE teachers in secondary schools face more ECD than those in teachers’ colleges. It was recommended that there is a need to strengthen professional development courses for teachers and emphasize the teaching of moral and professional ethics in the teacher education programs; and improve the teaching and learning environment.
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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 | 0.001 | 0.001 |
| 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".