Enhancing Vocabulary Proficiency and Self-Directed Learning through YouTube: A Study in an EFL Context
Bibliographic record
Abstract
This study investigates the impact of using YouTube channels, specifically Ray Du English and BBC Learning English, on the vocabulary acquisition and self-directed learning motivation of non-English major students in Taiwan. The research aims to enhance traditional teaching methods and broaden students' international perspectives by leveraging the diverse and engaging resources available on YouTube. The study involves 128 first-year students from the Departments of Communication and Electrical Engineering at a university in southern Taiwan. A mixed-methods approach, combining quantitative pretests and post-tests with qualitative questionnaires and focus group interviews, was employed to evaluate the effectiveness of YouTube-assisted learning. Findings indicate that YouTube videos significantly improve vocabulary proficiency and self-directed learning motivation, with notable differences between the two student groups. Communication majors showed substantial vocabulary gains, while Electrical Engineering majors exhibited higher autonomous learning motivation. Overall, students expressed positive attitudes toward integrating YouTube into their learning process, highlighting its potential to make vocabulary learning more engaging and effective.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".