Students’ Learning Assessment Practices Used by Jordanian Teachers of Mathematics for Grades (1-6)
Bibliographic record
Abstract
This study aims to investigate the students’ learning assessment practices used by Jordanian teachers of mathematics for grades (1-6) in Amman. The sample of the study consists of (402) teachers. A questionnaire of (72) items are developed on four domains, namely: questions, homework, exams, and alternative strategies. Validity and reliability are established. Results of the study show that the mean of the scores for the four domains and the entire items are medium, the highest was on exams and the lowest on the homework. ANOVA analysis show that there were no statistically significant differences related to number of courses and gender. On the other hand, there are statistically significant differences on the scientific qualification in favor of postgraduate studies. As for the type of school, the results are in favor of government schools. In regard to the number of experience years, the results are in favor of category (5-10) years on homework domain only.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".