The Impact of E-Learning Strategy on Students' Academic Achievement. Case Study: Al- Quds Open University.
Why this work is in the frame
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Bibliographic record
Abstract
The study examines the effect of e-learning on the students’ academic performance at Al-Quds Open University. 382 students have been randomly selected from the university's official records where a statistical analysis of the study variables was performed using the Statistical Package of Social Sciences program (SPSS.20). The study hypotheses were tested by Paired Samples T-tests.The study has revealed that there are statistically significant differences in the students’ academic performance over the implementation of the e-learning strategy with regard to the level of the vast majority of students, gender, educational program, as well as their academic level.The study recommends the necessity of enhancing the e-learning strategy in the higher education institutions to foster the students’ academic performance taking into account the specificity of some learning programs such as the Arabic language programs and the social studies.
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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 | 0.000 | 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 | 0.001 |
| Open science | 0.002 | 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 it