The Effectiveness of Electronic Software in Developing English Language Skills for Eighth Grade Students in Wadi Al-Seer Directorate of Education/Jordan
Bibliographic record
Abstract
The purpose of the study is to investigate the effect of using electronic software in the development the English language skills among students at primary stage, the researcher used a semi-experimental approach, and he chose an intentional sample, which consisted of (100) eighth grade students from Marj Al-Hamam Elementary School in the Directorate of Education in Wadi Al-Seer in Amman during the first semester of 2019/2020. The study sample was randomly distributed into two groups: the experimental and control with (50) students in each. The study tool was prepared, which is an achievement test (before and after me) and their validity and reliability were verified. The results showed that there were statistically significant differences at the level (a = 0.05) between the mean scores of the control group and the experimental group, in favor of the experimental group in the post-test first studied using the electronic software. The study showed that there is an effect of electronic software in the development of English language skills. In light of the results, the researcher recommended the use of electronic software in schools.
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".