Word Difficulty and Learning among Native Arabic Learners of EFL
Bibliographic record
Abstract
This study investigates word difficulty and learning among learners of English as a foreign language (EFL) in Saudi Arabia. Difficulty factors examined in the study include repetition of words in learners’ EFL textbooks, word length and parts of speech, and adds a further consideration which is underexplored in the literature; word translation equivalents in the learners’ first language (L1). A total of 156 native Arabic participants were given a vocabulary test in which they had to identify whether a word was known to them and then to supply the meaning of the word in their L1 or L2. The findings showed a large effect of repetition on word learnability, accounting for 60% of the variance, followed by translation equivalence, which explained some 23% of the variance. Conversely, word length and the parts of speech element provided non-significant contributions to the overall model of learning. Thus, the results indicate a durable effect of repetition and a modest influence of L1 translation equivalent on the L2 vocabulary learning, regardless of the number of syllables in a word or the part of speech element.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| 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".