Examining the Effectiveness of Pre-reading Strategies on Saudi EFL College Students’ Reading Comprehension
Bibliographic record
Abstract
Reading comprehension is a key issue in learning English as a foreign language, and it is critical that teachers utilize pre-reading strategies in reading classes in order to help students enhance their comprehension. The present study investigates the effectiveness of two pre-reading strategies on EFL students’ performance in reading comprehension. A group of 46 students from King Saud University, Preparatory Year, participated in this study. A quasi-experimental design was used, with 23 students being assigned to the first experimental group that received one pre-reading strategy (vocabulary pre-teaching) while the remaining 23 students received another pre-reading strategy (pre-questioning). Students in both groups were asked first to perform the pre-reading strategy, read a passage, and then answer comprehension questions. Results indicated that there were no statistically significant differences between the two groups. Some implications have been drawn for EFL teachers and material designers.
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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 | 0.005 | 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) | 0.001 | 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".