The Impact of Electronic Tests on Students’ Performance Assessment
Bibliographic record
Abstract
This study has aimed to measure the effect of electronic tests on the academic achievements of middle school students in Arabic course. The sample has been divided into two groups; the experimental group and the non-experimental group after using the mixed experimental method. Statistical measurements had been used before, and after, the experiment for both groups; whereas, study tools were consisted of achievements test and focus group. The results have assured the existence of statistical differences between the experimental group and non-experimental group in the (language classification) category marks. The results have shown no statistical differences on the audio comprehension, reading comprehension, writing, handwriting skills, language style, grammatical function and writing expression categories marks, which give preferences to use the electronic test rather than the traditional (pen and paper) test. The study has concluded that teachers must be encouraged to perform continuous evaluation throughout the academic semester by applying electronic tests. They must emphasize on the importance of grounding rules and regulations to apply electronic tests in the educational institutions.
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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 | 0.000 | 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 | 0.000 |
| 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".