Factors That Predispose Secondary School Teachers to Examination Malpractice in Edo State, Nigeria
Bibliographic record
Abstract
This study investigates the factors that predisposed secondary school teachers to examination malpractice in Edo State and how they rate these factors. The study participants were 988 teachers selected from 9885 teachers in public and private secondary schools in the State. The descriptive (survey) design was used in the study because it is a self-report research that would enable the researchers to collect data from teachers in order to determine their predisposition to examination malpractice. A questionnaire developed by the researchers was used to collect the needed data. The data collected was analyzed using percentages, mean and standard deviation. The findings of the study revealed that anomie was a major significant variable that predisposed teachers to examination malpractice. Other variables, though not significant, were societal/parental factor, teaching/learning environment, teacher factor and student factor. Based on the findings, the researchers recommended, among others, that teacher training programmes should be re-designed with more emphasis on civic and value education and that government should improve on its funding in the education sector.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.007 | 0.007 |
| 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 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".