Students’ Involvement Level in Arabic Language Textbook Communication for Cycle One in the United Arab Emirates
Bibliographic record
Abstract
The current study aims to identify students’ level of involvement in the Arabic language textbook content provided in cycle one within the United Arab Emirates by addressing two questions: (i) What is the student's level of involvement in the scientific materials contained in Arabic language textbooks for cycle one within the United Arab Emirates? (ii) What is the student's level of involvement in the language activities contained in Arabic language textbooks for cycle one within the United Arab Emirates? A descriptive-analytical approach was employed with Romey’s formula as an instrument and framework to ascertain students’ involvement level in textbooks containing scientific materials and language activities post-instrument validity and reliability. The study sample encompassed 16 scientific lessons and 52 language activities from the first cycle of Arabic language textbooks. Frequencies and percentages were employed in the statistical treatment. The study concluded that the involvement coefficient of language activities did not fall within the proposed range for grades one, two, and three but fell within the acceptable range for grade four.
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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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".