Is TikTok an Effective Technology Tool in English Vocabulary Expansion?
Why this work is in the frame
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Bibliographic record
Abstract
In recent years, technology has had a huge impact on learning and teaching processes. TikTok is a technology tool that is prominently used by young adults. Vocabulary is the most essential component of a language, and learners can improve their vocabulary via this attractive tool. This paper investigates the attitudes of Saudi secondary school learners towards using TikTok videos in English vocabulary learning and how TikTok videos contribute to expanding English language vocabulary in Saudi secondary school learners. The study uses a quantitative method to collect data using a survey questionnaire. The participants consist of 50 secondary school students. The outcomes illustrate that students have a positive attitude towards using TikTok in learning English vocabulary. Moreover, students note that TikTok offers various features and options that assist in expanding English vocabulary.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| 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 it