Tracking reading development in an English language university-level bridging program: evidence from eye-movements during passage reading
Bibliographic record
Abstract
Abstract Increasing numbers of international students enter university education via English language bridging programs. Much research has overlooked the nature of second language reading development during a bridging program, focusing instead on the development of literacy skills of international students who already meet the language requirement for undergraduate admission. We report a longitudinal eye-movement study assessing English passage reading efficiency and comprehension in 405 Chinese-speaking bridging program students. Incoming IELTS reading scores were used as an index of baseline reading ability. Linear mixed-effects regression models fitted to global eye-movement measures and reading comprehension indicated that despite initial between-subjects differences, within-subject change at each ability level progressed at the same rate, following parallel growth trajectories. Therefore, there was significant overall reading progress during the bridging program, but no evidence that the gap between low and high ability readers either closed or widened over time.
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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 | 0.001 | 0.000 |
| 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".