A Comparative Study of Reading Strategies Used by Chinese English Majors
Bibliographic record
Abstract
In this thesis, by means of questionnaire, we made an investigation into the reading strategies used by Chinese first-year and third-year English majors. The purpose of this study attempts to identify the typical types of reading strategies among English majors in a normal university of China, and also, to examine what differences exist in strategy use by first-year and third-year students. The output shows all the three reading strategies, whether metacognitive, cognitive or social/affective strategies are widely used by English majors in normal university. Nevertheless, differences do exist in the degree of popularity of some specific reading strategy items. The difference in use of reading strategies between first-year and third-year students is that the former are reported to employ much more social/affective strategies while the latter do much better in metacognitive and cognitive strategies. From what discussed, we know that readers can benefit a lot from appropriate reading strategies in reading, so it is possible and necessary for teachers to offer reading strategy instruction for the students and also different strategy instruction should be offered to students in different grades.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".