Reconceptualising early childhood education in Nigeria: a praxis for policy and research
Bibliographic record
Abstract
Reconceptualising early childhood care and education enables critical thinking about policies, practices, curriculum planning, policy formulation, implementation, care, the development of young children, and research with children. This new ideology differs significantly from previous perceptions of childhood education, which have been both a programme of study and a practitioner-provided service, especially in developing countries influenced by Western education practices. This paper highlights paradigm shifts and new perspectives on childhood education, particularly in Nigeria. We examine how scholars have reconceptualised early childhood education (ECE) policy and research and how this provides insights into making education primarily liberatory and child-centred, rather than transactional, in Nigeria. We advocate the importance of recognising children as active participants in research and policy formulation and emphasise the role of stakeholders, including government agencies, educators, researchers, and families, in shaping a more inclusive ECE system in Nigeria.
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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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".