Using the MoodleReader as an Extensive Reading Tool and its Effect on Iranian EFL Students’ Incidental Vocabulary Learning
Bibliographic record
Abstract
The present study focused on using the MoodleReader to promote extensive reading (ER) in an Iranian EFL context, emphasizing its effect on students' incidental vocabulary acquisition. Thirty eight Shiraz University sophomores were assigned to experimental and control groups. The experimental group used the MoodleReader for their ER program, while the control group followed the traditional ER curriculum, reading a small number of pre-assigned graded readers during the semester. Both groups were given Production and Recognition Vocabulary Levels Tests before and after the experiment. T-tests showed that using the MoodleReader improved the experimental group’s incidental vocabulary acquisition, having a stronger effect on production as compared to recognition vocabulary. Linear regression analyses were also run to determine the relationship between incidental vocabulary acquisition and the learners’ use of vocabulary learning strategies. The results indicated a significant relationship between the experimental group’s vocabulary production and their use of vocabulary learning strategies.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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) | 0.001 | 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".