The Effect of the CAREY Program on the Students’ Reading Attitude towards Reading English Materials
Bibliographic record
Abstract
Reading is one of language learning skills which has a great significance for the role it plays in the second language acquisition (SLA) process. The aim of this paper was to examine the extent to which the CAREY (Computer-Assisted Reading Yemen) program affects the Yemeni EFL students’ reading attitude towards reading English materials. To achieve this objective, the data was collected from pre-and post-questionnaires of reading attitude. Additionally, the data was collected based on an interview and an observation. 20 students selected purposively from level one of an English proficiency course, Department of English, Faculty of Arts, Ibb University, Yemen in this study. All participants answered the pre- and post- reading questionnaires, and five of them were further interviewed. The study used both quantitative and qualitative analyses of the data including descriptive statistics of the responses from the questionnaires and thematic analysis of responses from the interviews. The results revealed that all participants showed their positive attitudes toward reading English materials especially after they joined the class of reading via CAREY program. In addition, it was found that CAREY program positively affected the participants’ attitudes towards reading English materials.
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".