Arabic Phonemic Awareness (PA): The Need for an Assessment Tool
Bibliographic record
Abstract
Phonemic awareness (PA), the consciousness of the sounds of the language, plays an instrumental role in reading development; research confirms that individuals with difficulty in detecting or manipulating sounds in words will struggle with learning to read. In spite of the plethora of instruments assessing PA of other languages, there is a dearth of research addressing PA in Arabic, the mother tongue of no less than 400 million people. Benefitting from previous research in the field, this paper is the first to develop and administer an instrument towards this end. Our proposed instrument, which includes 24 carefully selected words based on the standards of familiarity and feature analysis with a reliability coefficient of (?= .927), was administered to 100 participants. The tool categorizes participants into three categories, highlights the role of KG, and reports on words the learners found easy and those difficult to segment. The paper calls for more research to investigate the role of Arabic PA in empowering Arab children’s reading ability.
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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 | 0.012 | 0.033 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".