Revisiting Reading Approaches Practiced in EFL Classrooms: Insights into Adult English Learners' Perspectives and Preferences
Bibliographic record
Abstract
The study investigates the perceptions and attitudes of EFL adult English learners regarding effective reading strategies for enhancing their reading proficiency. Employing qualitative methods, focus group discussions were conducted with 20 participants from intensive English language programs, which revealed five preferred strategies: Expressive Reading, Quiet Reading, Collaborative Reading, Fast Focus Reading, and Timed Reading. Each approach presents its advantages, yet also entails certain drawbacks, such as the impact of reading rate on comprehension and the potential pressure associated with timed exercises. Nonetheless, the findings underscore the importance of employing a flexible approach to reading strategies in EFL classrooms to accommodate the diverse needs of individual learners and promote meaningful engagement. Furthermore, this study highlights the necessity for instructors to integrate these strategies into their teaching practices, thereby fostering an environment that not only enhances reading proficiency but also encourages learner autonomy and motivation in the language acquisition process.
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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 | 0.002 | 0.005 |
| 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 | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| 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 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".