An Evaluative Study for the Use Reality of E-Learning Systems and Tools in Teaching and Learning by Faculty Members and Students
Bibliographic record
Abstract
The present study aimed to identify the reality of E-Learning systems and tools use (Blackboard) by faculty membersand students in teaching and learning courses at the college of education at Najran University. To achieve this aim,two questionnaires for both faculty members and students were developed. A sample of (60) faculty members and(120) students were selected to take part in the present study. Findings showed that the level of Blackboard use bymale and female faculty members was either high or very high in teaching college courses to students. There was nostatistically significant difference (α=0.05) between faculty members regarding the level of E-Learning tools use andits pedagogical practices due to gender and experience. Findings also revealed that male and female students' level ofBlackboard use was very high in studying the college courses. Furthermore, there was no statistically significantdifference (α=0.05) between students regarding the use of E-Learning tools and its pedagogical practices due togender and cumulative average.
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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 | 0.011 | 0.021 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 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".