The Effect of Wiki & Google Classroom on the Achievement of Female Art Teachers in Drawing and Designing Training Courses in Saudi Arabia
Bibliographic record
Abstract
This study aimed to reveal the effect of using Wiki&Google Classroom on the achievement of female art teachers in drawing and designing training courses in Saudi Arabia. The study sample consisted of 49 female art teachers chosen through a purposive method from Saudi Arabia. They were randomly distributed into two experimental groups: the first experimental group (26 teachers) studied drawing and design training courses via Google Classroom. The second group (23 teachers) studied the same course by Wiki application. The current study was conducted in the first semester of the academic year 2020-2021 and it depended on a quasi-experimental approach. The results of the study showed statistically significant differences between the pre and post-test in favor of the post test. It also showed statistically significant differences between the group that studied using Google Classroom and the groups that studied using Wiki application in favor of Google Classroom. The study recommended activating the use of the Google Classroom and Wiki applications in teaching art courses online.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".