Supervision of Undergraduate Final Year’s Project Requirement in Nigerian Universities – The Way out of the Wood
Bibliographic record
Abstract
The study investigated the supervision of undergraduates’ degree projects in Nigerian universities following the general allegation that the present day projects do not contribute to any knowledge because students copy past work and project supervisors do not have time for supervision. The population of the study was 27 federal Nigerian universities. A random sample of 9 federal Nigerian universities (33.3%) was used for the study. The instrument used in gathering the data was the questionnaire designed by the researcher titled Students’ Project Management Inventory (SPMI). The validity of the instrument was done by both experts in educational administration and planning. Test-retest method was used to ascertain the reliability of the instrument. A Z-Test and common percent were the statistics used to analyze the data. The major finding was that the increased population of degree students with decreased number of supervisors have made it difficult to have good supervision of projects. Based on this finding, it is recommended that degree project requirement should be optional or elective and not compulsory.
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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 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".