Settling Digital Divide on Students of Ebonyi State University, Abakaliki-Nigeria
Bibliographic record
Abstract
The study on the implications of digital divide on Students of Ebonyi State University, Abakaliki, was carried out to determine the level of Information and Communication Technology (ICT) knowledge and access among the students in the system. Previous studies carried out in the developed nations such as United States of American, United Kingdom, and Canada and alike had shown that innovative use of ICT facilities has the potentials to effect students teaching/learning. However, literature search of similar studies in the developing nations of the world seems scanty. In order to have a good foundation upon which the study rests, technological determinism theory as propounded by Lievrouw and Livingstone (2006) was adopted. The major interest of the theory is to elucidate the irresistible power of ICT to propel human actions socially and economically for development. Flowing from the assumption of the theory and its focus, the implication of digital divide on students in Nigerian University emerged. The study adopted content analysis approach and reviewing of extent literature. Consequently, the study recommended repositioning the online teaching/learning among students of Ebonyi State University should be made a priority to increase ICT knowledge and access
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.002 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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".