YouTube and English Learning: Transformative Impact on Self-Regulated Learning Competencies
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The awareness of learning English has risen not only on students but also general community. However, expecting to master English merely relies on classroom learning or formal setting are considered not sufficient. Therefore, more English learners both students and public figured out how to study by themselves. The emergence of YouTube has changed the way people learn English. The various kinds of videos and their flexibility of access raised their awareness to learn English individually. It is a qualitative study. The data were analysed based on (Miles et al., 2014) theory. The researchers interviewed three participants to collect the data. They were selected based on the criteria managed by the researcher. This study used three competencies of self-regulated learning (SRL): cognitive, motivation and metacognitive. This study found that YouTube positively impacted SRL. The participants proved that YouTube helped them to understand English better, made their learning fun and enabled them to reflect their English competence.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.003 |
| 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