Text-Relevant Video Segments and Reading Comprehension of Culturally Unfamiliar Texts with Adult Speakers of English as a Second Language (ESL)
Bibliographic record
Abstract
This pilot study is a mixed-methods sequential explanatory study that investigated the effects of watching text-relevant video segments supported by the Schematic Information-Processing (SIP) model of reading comprehension on reading comprehension of adult speakers of English as a Second Language (ESL) in terms of text familiarity and the retention of the content of a culturally unfamiliar text. Twenty homogeneous participants were randomly assigned to two groups: one control group and one experimental group. The results of the quantitative analysis showed that the experimental group outperformed the control group in both the immediate and delayed post-tests. Qualitative findings also highlight the effectiveness of implementing text-relevant video segments supported by the SIP model over traditional text-based reading instruction in terms of reading comprehension and retention of the content of the culturally unfamiliar passage. Limitations of the study and suggestions for future research are discussed in detail.
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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 | 0.001 | 0.006 |
| 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 | 0.000 |
| 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".