Assessing current digital competencies of high school English teachers in Dalat city, Vietnam
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 research aims to investigate the current state of digital competence among English teachers at high schools in Da Lat, Vietnam, and provide recommendations to improve their digital skills. The research team conducted a survey of 28 English teachers at seven high schools in Da Lat, using a Likert scale with five levels and statistical analysis methods. The results show that the teachers' abilities to use electronic devices, educational software, and to search, select, and diversify information from the internet are all at very high and high levels. When encountering technical issues during teaching, the teachers' problem-solving skills are also at a very high level. However, the frequency of teachers using digital technology to grade assignments for students is only at a moderate level. The obtained results can provide a source of information and data for high schools in Da Lat and nationwide to compare, contrast, and develop strategies to enhance the digital literacy of English teachers at teaching institutions.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 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 | 0.001 | 0.002 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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