Institutional Variables and Student’s Employability Skills Development in Public Universities in Cross River and Akwa Ibom States, Nigeria
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This study addresses institutional variables as determinants of employability skills acquisition among undergraduates in Cross River and Akwa Ibom States, Nigeria. Three research hypotheses were posed to guide the study. A descriptive survey research design was employed for the study. The population comprised of final year students in Faculty of Education at the University of Calabar numbered 904 and University of Uyo 939 respectively. Stratified random sampling technique was used to select data and a sample of 108 was drawn from University of Calabar and 112 drawn from the University of Uyo. A self-structured rating scale titled “Students’ Employability Skills Acquisition Scale (SEASAS). Face and content validity of the instrument was done by supervisor and experts, Cronbach alpha reliability coefficient range were .73-.92. Hypotheses were analyzed using t-test (population and independent t-tests) and one-way analysis of variances (ANOVA), hypotheses were tested at 0.05 level of significance. The result of the study revealed among others: institutional variables on the levels of employability skills after their years in various programmes were not significantly low. Based on the findings, it was however recommended among others that; employability skills studies should be embedded in the university curriculum, university authority should make programmes of study more elaborate and rich in content to equip students with skills. Academic programmes in the universities irrespective of the school-age and terms of conditions should also be given basic priorities.
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.
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 | 0.001 |
| 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 | 0.001 |
| 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 it