Awareness and Usage of E-Learning Materials among Students of National Open University of Nigeria (NOUN)
Bibliographic record
Abstract
The study focused on awareness and usage of e-learning materials among students in the distance educationprogramme of the National Open University of Nigeria (NOUN). The study is a descriptive survey which was guidedby two research questions. The population for the study comprised of the 1, 512 year three students out of which 400were sampled and used for the study. The instrument for data collection was a 30-item self-constructed checklisttitled, “Distance Education Students’ Awareness and Usage of E-Learning Materials” (DESAUELM). It wasvalidated by experts and the reliability co-efficient stood at 0.86. The data collected were analysed using frequenciesand percentages. The findings showed that, the students are aware of majority of the e-learning materials. Also, theresult on usage indicated that the students do not use majority of the e-learning materials. There was general lowusage of the e-learning materials as revealed by the findings.
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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 | 0.001 | 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 | 0.000 |
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".