Students’ Evaluating of Online Learning Quality at Al Baha University and Their Satisfaction with Online Courses
Bibliographic record
Abstract
The study aims to explore students’ perceptions of the quality of online courses offered for them at Al-Baha University. The current study mainly explores the quality of online learning courses, students’ satisfaction with online learning courses, and the effect of students’ perceived quality of online learning on their satisfaction with these courses. The quality of online courses was measured based on the following factors: learning outcomes, assessment and measurement, learning resources material, learner interaction, and online course technology. An online survey was used to collect data. Seventy-nine graduate students participated in the study. Findings showed that the overall quality of online education was high, and students were predominantly satisfied with their online courses. Additionally, the study found that gender, learning outcome, learning resources, learner interaction, and online technology were significant predictors of students’ satisfaction. The study includes recommendations for implementing online courses as well as suggestions for future studies.
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How this classification was reachedexpand
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 | 0.000 |
| 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 | 0.000 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".