Factors Affecting Faculty Attitude for Adopting Online Learning at Aljouf University, Saudi Arabia
Bibliographic record
Abstract
This study aims to take an initial step toward investigating the readiness of faculty members for adopting online learning at Aljouf University, a Saudi newly established university. Participants (n=156) were asked to complete a Web-based questionnaire that starts with eight demographic questions and has four other parts: attitude toward online learning, computer self-efficacy, attitude toward technology, and computer anxiety. The results demonstrate that faculty members show positive attitudes toward online learning (M=3.03, SD=0.45). They also showed a slight high computer self-efficiency (M=2.92, SD=0.40), positive attitudes toward technology (M=3.10, SD=0.33), and a low level of computer anxiety (M=1.05, SD=0.38). Finally, the results reveal that among the demographic variables, only the nationality of the participants and their experience with online learning had a significant effect on their attitude toward online learning. The study concluded with providing a number of recommendations for application and future studies.
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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".