Organizational and Management Problems Confronting Redesigning Teaching and Learning in Nigerian Schools in the Globalization Era
Bibliographic record
Abstract
This study identifies the hitherto 6-5-4 educational system in relation to its sustainability vis-à-vis the recent 6-3-3-4 educational system. However, the old design of 6-5-4 and 6-3-3-4 systems have outlived their importance since the two have failed in sustaining expected socio-economic developments. Hence, the introduction of UBE and 9-3-4 education system. Subsequently, the gap created by the old designs of educational system 6-5-4 and 6-3-3-4 call for an improvement in the old design for a redesigning, reformation and re-arrangement in modes, roles, policy and planning. It is against this backdrop that this paper advocates effective and efficient redesigning and optimal implementation of the redesigned roles and objectives. The paper concludes on a note that no design of education was bad but the success or failure of any system depends solely on the implementation.
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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 | 0.019 | 0.021 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.008 | 0.007 |
| Scholarly communication | 0.011 | 0.005 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 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".