Analysis of Algebra Content in Mathematics Books in the Third Grade to the Fifth Grade in Jordan in Light of the Standards of the American National Council of Mathematics Teachers
Bibliographic record
Abstract
This study aimed at analyzing the content of algebra in mathematics books in the third grade to the fifth grade in Jordan in light of the standards of the National Council of Mathematics Teachers (NCTM, 2000), In all aspects of the study for the academic year (2018/2019). The sample of the study included the axis of algebra in each book of this stage. To achieve this, the descriptive method was used through the method of content analysis. Lycartes averages. The highest scores in the third, fourth and fifth grade textbooks were for the criterion of analysis of change in different environments (1.84), while the lowest level of understanding of relations, patterns and functions was (0.90) And the use of mathematical models between these two grades. In light of these results, the researcher recommends that the criteria for the content of algebra should be considered in the basic stage books in the third, fourth and fifth grades.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".