Prediction of Mathematics Learning Strategies on Mathematics Achievement among 8th Grade Students in Jordan
Why this work is in the frame
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Bibliographic record
Abstract
The study aimed to examine the extent of the student’s Mathematics Learning Strategy (MLS) factors such as mathematics attitude, mathematics motivation, mathematics self regulation, mathematics self efficacy and mathematics anxiety contribution to mathematics achievement (MA). The respondents of the study were 360 students from eight public middle schools in Jordan selected through stratified random sampling. The study used 65 items to assess the MLS. Moreover, the mathematics test (MAT) comprises 30 items. The results of multiple regression analysis showed that mathematics attitude, mathematics motivation, mathematics self regulation, mathematics self efficacy significantly contributed to MA, with the exception of mathematics anxiety that was found to have an insignificant effect on MA. Educators, principals and teachers should focus on most MLS factors in classes and students should be motivated to understand that the subject could be studied and passed just like other subjects, and to appreciate that it is an essential tool and a prerequisite for further education in many vocations.
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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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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