Exploring School Readiness and Transition Dynamics: Enablers and Disablers in Early Childhood Education Programmes of Zambia
Bibliographic record
Abstract
This qualitative study investigated the complex issues and dynamics associated with the transitions in early childhood education (ECE) within Kabwe, Kapiri, and Choma districts of Zambia. Utilising an exploratory methodology, the research thoroughly explored the various factors that impacted school preparedness and the progression from early childhood education to primary schools. Diverse perspectives from parents, educators, community leaders, and legislators were examined through in-depth interviews, focus groups, and participant observations. The results of this study shed light on several significant factors such as limited parental involvement arising from knowledge gaps and financial constraints, digital inequality affecting children’s adaptability, and the absence of well-structured transition programmes leading to mismatches in instructional approaches. Thematic analysis reveals nuanced insights, emphasising the crucial role of digital inclusion initiatives, programmes promoting parental engagement, and collaborative efforts between ECE institutions and primary schools.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.004 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| 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".