The Attitudes of Islamic Education Teachers Towards the Use of Social Media in Teaching and Learning
Bibliographic record
Abstract
The aim of this study was to identify and analyse the Islamic Education teachers’ attitudes, difficulties and purposes while using social media in the educational processes in the Saudi context. In doing so, this study adopted a quantitative, descriptive approach based on empirical data collected by means of a questionnaire. The study sample consisted of 124 teachers of Islamic Education in Hail, Kingdom of Saudi Arabia (KSA). While the participants reported positive attitudes towards the use of social media in the educational processes, the results showed their low use of social media which was limited mainly to personal purposes rather than using them for teaching learning activities. Based on the results, the study recommends developing teachers’ knowledge and skills to make them aware of the use of social media in education and encourage them to utilize them for teaching and learning activities. Since social media are ubiquitous and being widely used for personal reasons, their integration into the curricula and syllabi may further increase the teaching and learning of Islamic Education in Saudi Arabia.
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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 | 0.004 |
| 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 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 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".