The Effect of Using KWL (Know-Want-Learned) Strategy on Reading Comprehension Of 5th Grade EFL Students in Kuwait
Bibliographic record
Abstract
Metacognitive reading strategies play an essential role in improving reading comprehension. This study explores the effects of English metacognitive reading strategies and reading comprehension in Kuwaiti primary school students as foreign language learners; this experimental study tries to find a relationship between students' metacognitive strategies, metacognitive strategies, and students' reading performance. Participants were fifth grade EFL students in Kuwait primary education government public schools. The students' reading comprehension was evaluated. Comprehension tracking strategies were measured using Metacognitive strategies (K-W-L Plus). While the experimental groups (B) received instructions according to (K-W-L Plus) techniques, the control (A) group was trained with the traditional teaching approach based on the Kuwait national curriculum school textbooks. A questionnaire investigating the use of English and perceived English proficiency was also conducted. The results revealed that Perceived proficiency in English was not determined by the early or late pre-school age of second language acquisition. Also, bilingual students with perceived proficiency in English had better meta-cognitive reading skills than low perceived proficiency in English. Comprehension monitoring and (K-W-L) strategy was adequate and the most important predictor of reading comprehension among all students in the research sample.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".