The Influence of Word Frequency of Occurrence and Visual Imagery on L2 Incidental Vocabulary Learning
Bibliographic record
Abstract
The purpose of this study was to determine the influence of word frequency of occurrence and visual imagery on incidental vocabulary learning through viewing a documentary. The study attempts to answer these questions: (1) To what extent does L2 incidental vocabulary learning occur through viewing a documentary?; (2) What is the influence of word frequency of occurrence on incidental learning of L2 unfamiliar words?; (3) What is the influence of visual imagery on incidental learning of L2 unfamiliar words?. This study is significant because it exploits social media sites which are excellent resources for viewing videos by most young EFL learners. Participants were 63 EFL students who viewed a captioned documentary. Two groups of word families that included 12 target words were prepared. The first group, labeled the sensitive group, had six words from the third and fourth 1000-word list and occurred three times or more in the documentary with different levels of visual imagery support. The second group, labeled the challenging group, included six words from the sixth and seventh 1000-word list that had only one occurrence in the documentary with almost no visual imagery support. The study used a multiple-choice vocabulary test as a pretest and posttest to measure receptive knowledge of the meaning of the target vocabulary items. The findings suggested that viewing a documentary positively affected incidental vocabulary learning and that learning was positively affected by word frequency of occurrence as well as visual imagery.
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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 | 0.001 |
| 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) | 0.001 | 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 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".