Does Perceptual Learning Style Matching Affect L2 Incidental Vocabulary Acquisition through Reading?
Bibliographic record
Abstract
Learning style matching is a neglected factor that may affect the complex process of second language (L2) incidental vocabulary acquisition through reading. The purpose of the current study is to investigate whether there is any difference in L2 incidental vocabulary acquisition and retention through reading when learners’ perceptual learning style is matched to their input mode, mismatched to their input mode, or mixed. The participants were 108 Iranian English as a foreign language (EFL) learners at pre-intermediate levels of English proficiency. Based on their perceptual learning style preferences (visual, auditory, kinaesthetic/tactile, mixed), they were divided into a reading group (consisting of three subgroups: Matched, Mismatched, Mixed) and a control group. The reading group read a graded reader containing 16 target words and then completed immediate and delayed (3 weeks later) vocabulary post-tests. The results revealed no significant differences between the three reading subgroups in terms of incidental vocabulary acquisition and retention. The findings suggest that perceptual learning style matching has no benefits for incidental word learning through reading.
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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 | 0.000 | 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".