Internal School Quality Assurance Practices and Undergraduate Students’ Attitude Towards Academic Activities: A Case of Public Universities in Cross River State, Nigeria
Bibliographic record
Abstract
This study examined internal school quality assurance practices and undergraduate students’ attitude towards academic activities in public universities in Cross River State, Nigeria. The study was guided by three null hypotheses and the design adopted was ex-post facto research design. The population of the study was made up of all the regular undergraduate students in their third year of study in the two public universities (University of Calabar and Cross River University of Technology) in Cross River State, Nigeria. The researchers used convenience sampling technique in selecting a sample of 2,500 students from the population which cut across the two public universities in the study area. Internal Quality Assurance Practices and Undergraduate Students’ Attitude Towards Academic Activities Questionnaire (IQAPUSATAAQ) with Cronbach reliability reliabilities of .81, .86, .83, and .80 was the instrument used for data collection. Pearson Product Moment Correlation was the statistical tool used in testing the hypotheses at .05 level of significant. The results of the study revealed significant relationship between school quality assurance approaches (maintenance of facilities, curriculum implementation, examinations administration) and students’ attitude towards academic activities. It was recommended among others that available teaching and learning facilities at the disposal of the management of universities should be maintained and made functional for the benefit of the students.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".