Leadership, Teaching and Learning in Times of Crisis in Southern Tanzania
Bibliographic record
Abstract
The outbreak of the COVID-19 pandemic has had a significant impact on education provision worldwide. School leaders, teachers and parents found themselves in uncharted circumstances, which hugely impacted their roles in promoting children’s learning. The purpose of this study was to investigate the roles played by leaders, teachers, and parents during the COVID-19 crisis. This paper discusses teaching and learning in this time of crisis. The study sampled 10 head teachers, 60 schoolteachers and 57 parents representing 10 primary schools in five districts in the Lindi region of Tanzania. A postmodernism lens was applied to respond to questions about the strengths and weaknesses of support structures, such as parents, teachers, and local and central government, in the era of COVID-19. Data indicate that teachers, parents, and even the government, had to try various approaches to shift between different roles involved in addressing learning demands in the era of COVID-19 in Tanzania. Generally, the study identifies complex tensions between the support structures, that had been brought on by the pandemic. It is through understanding the complex tensions and balancing various roles that we can begin to understand the teaching and learning landscape in times of crisis.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.006 | 0.004 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".