Cultivation of Polytechnic-Industry Linkage for Development and Delivery of Curriculum for Technical Education: A Case Study of The Federal Polytechnic, Ilaro
Bibliographic record
Abstract
The implication of the unsuitability of young Nigerian graduates for available jobs in the industry raises the question as to the appropriateness of the training received while in school. It has exacerbated the unemployment problem in the Country, and it is worrisome. Of a necessity in curriculum development and delivery, therefore is the adoption of an approach that takes cognizance of the job function of the graduates in the industry and/or workplace and the skills required to perform on the job. In other words, the curriculum must target the job market demand and needs. This paper reports on the development of a demand-led curriculum in National Diploma Cement Engineering Technology through the partnership of the Federal Polytechnic, Ilaro with Cement Industry, Cement Training Institute of Nigeria, Manufacturers Association of Nigeria, and the National Board for Technical Education. The paper concludes that the emerging graduates from the implementation of the curriculum would have acquired the appropriate skills for the job, and would be acceptable and fit to perform effectively in the industry. Besides, opportunities for earning industry research income and reputation through the provision of research support to the industry is an added benefit derivable from the linkage.
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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 | 0.000 | 0.000 |
| 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 | 0.000 |
| 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".