Entrepreneurship Training Programme in Universities and Graduates’ Productivity in South-South Nigeria
Bibliographic record
Abstract
Entrepreneurial training programme has to do with acquiring relevant skills in which an individual has to be sensitized, motivated and guided to achieve self-reliance and self employment. The paper examined the relevance of entrepreneurial training programme in the universities to graduates’ productivity. Three null hypotheses were formulated. A sample size of 1200 graduates was randomly selected from the South-South Geo-Political Zone in Nigeria. The instrument used for the study was Entrepreneurial Training Programme in the Universities and Graduates Productivity Questionnaire (ETPUGPQ). The instrument was validated with the help of three experts in vocational education. The corrected version was subjected to the test of reliability using Cronbach Alpha, and the reliability co-efficient stood at 0.85 justifying the use of the instrument. The data obtained were analyzed using Multiple Linear Regression at 0.05 alpha levels. It was found that entrepreneurial training programme in the universities is significantly relevant to graduates’ productivity. Therefore, it was concluded and recommended that the government and National University Commission (NUC) should make it compulsory for faculties offering professional courses to encourage students participation in practical works. Also it was recommended that Entrepreneurship Education curriculum should be developed to cater for the vast changing needs of the labour market.
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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 | 0.001 | 0.001 |
| 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".