Factors Influencing Teachers’ Continuation of Online Learning in Elementary Schools
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 use of online teaching has increased rapidly, especially since the start of the global pandemic of COVID-19. K–12 teachers in Saudi Arabia, like many teachers globally, found themselves with a new way of teaching because of the pandemic. Thus, this study examined the unified theory of acceptance and use of technology (UTAUT) in elementary school teachers’ acceptance of online learning. We tested whether UTAUT’s four key factors (performance expectancy; effort expectancy; social influence; and facilitating conditions) affect Saudi Arabian elementary school teachers’ acceptance of using online learning. We found that performance expectancy, social influence, and facilitating conditions altogether predicted teachers’ use of online learning as the analysis of the multiple regression outcome found that 60.2% of the variation was affected by these variables.
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 | 0.006 |
| 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) | 0.000 | 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