Attitudes of School Teachers in the State of Kuwait Towards the Experience of Distance Education During the Coronavirus Pandemic
Bibliographic record
Abstract
This study aimed to identify the attitudes of public school teachers in the State of Kuwait at various educational stages towards the experience of distance education during the COVID-19 pandemic. The descriptive approach was applied; a questionnaire consisting of four dimensions was developed to measure teachers’ attitudes towards distance education. The study sample consisted of 1028 teachers of various disciplines at all levels of education in public schools in the State of Kuwait. The results indicated that teachers had a higher degree of positive attitudes towards the distance education experience. The results also showed that there were statistically significant differences between the study sample members due to each of the following variables: the educational district and the educational stage.The results did not show statistically significant differences due to the gender variable. Additionally, the results did not show the existence of statistically significant differences due to the variable years of experience on the total degree and dimensions of scale, except for the dimension “student assessment through distance learning using the TEAMS Program” attributed to the experience category (1–5 years).
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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 | 0.001 |
| 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 | 0.001 | 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".