Faculty members’ perceptions towards utilizing blackboard in teaching system at Hafr Al-Batin University, Saudi Arabia
Bibliographic record
Abstract
Background and objective: The faculty members’ perceptions regarding Blackboard as the pedagogical management tool plays a vital role in learning and teaching process. Aim: To survey the perceptions of faculty members towards utilizing Blackboard in the teaching system at Hafr Al-Batin University.Methods: Design: Quantitative descriptive design was utilized depending on online surveys. Setting: The study was conducted in all Colleges of Hafr Al-Batin University. Participants: 174 faculty members from different colleges at the University of Hafr Al-Batin. Tools: Questionnaire consisted of two parts; the first includes the faculty demographic information and the second describes faculty perception in four sections; usefulness, enjoyment, satisfaction, and challenges.Results: The study demonstrated that perceived “usefulness” and “enjoyment” were the most highly mean scores.Conclusions: The faculty members have a positive attitude towards the implementation of the Blackboard system. Recommendations: A great need for training of both faculty members and students in the Blackboard system regularly.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.006 | 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".