A Proposed Future Vision for Improving the Virtual Learning Culture in Jordanian Schools
Bibliographic record
Abstract
The present study aimed to identify the future vision for developing the culture of virtual education in Jordanian schools by identifying the reality of the virtual education culture and the difficulties in applying this type of education.The study sample consisted of (2000) teachers and teachers representing all the directorates of education in Jordan, and were selected in the random stratified manner.The results showed that the reality of the virtual education culture in Jordanian schools from the point of view of the primary stage teachers in Jordan was high and that the difficulties facing virtual education in Jordan were high. Based on the results, the paper recommended to Bringing up people who accept the culture of change and adapt to it which shall enable them to seek achieving their ambitions and develop their potentials. and Promoting a culture that is based on a scientific methodology and employing people’s mental skills and scientific methods to find practical solutions for societal problems. The vision’s outlines include developing a personality that is capable to reach knowledge through using various sources of information.
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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 | 0.009 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.003 |
| Scholarly communication | 0.011 | 0.008 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 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".