An Assessment of the Academic Achievement of Students in Two Modes of Part-time Programme in Nigeria
Bibliographic record
Abstract
This study analyses the academic achievement of students enrolled in part-times studies at on-campus and outreach centres at three dual-mode Nigerian universities, during the 1996/97 to 1998/ 99 academic years. Research subjects in this study were examination and record officers employed by on-campus and outreach institutions. A checklist was prepared to collect students’ grades; these checklists were then transcribed into grade points (GPAs) for data collection purposes. Simple percentage mean (x) and t-test statistic were used for data analysis. Interviews were also conducted with key stakeholders to add qualitative context to the quantitative data collected. This study shows that there was significant difference in the academic performance of students enrolled in the on-campus versus outreach-based, part-time programmes in selected disciplines. Also the average mean (x) performance of students enrolled in the on-campus programme was higher than those students enrolled in the outreach centres. Based on the findings of this study, it is recommended that the government provide adequate funding to increase access individuals seeking higher education in Nigeria. The establishment of functional Open University system is also recommended to provide students with distant learning opportunities and likewise increase access. Several quality improvements are likewise recommended: the use of modern information technology for instructional delivery, recruitment of skilled teachers, improved teaching/ learning facilities, and strict adherence to standardized student admission requirements as specified by the National Universities Commission (NUC). We wrap up with practical suggestions, such as providing orientation sessions for outreach students to learn practical skills such as how to access library materials. Keywords: academic achievement, part-time programmes, on-campus, outreach, distance education, quality assurance, Nigerian universities, 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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".