Investigating the Role of Academic, Social, and Emotional Self-Efficacy in Online Learning
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
Despite increased social and emotional challenges in online learning during the COVID-19 pandemic, little attention has been paid to students’ social and emotional self-efficacy beliefs. The present study investigated university students’ (N = 268) academic, social, and emotional self-efficacy beliefs as predictors of their academic achievement, sense of belonging, and well-being in online learning during the pandemic. We first evaluated the factor structure of the three types of self-efficacy. Results revealed that academic, social, and emotional self-efficacy beliefs were related yet distinct constructs. In the path model, gains in academic self-efficacy positively predicted students’ academic achievement, whereas social self-efficacy and emotional self-efficacy positively predicted students’ sense of belonging and well-being, respectively. In addition, students’ mastery experience emerged as a significant predictor of longitudinal changes in academic self-efficacy.
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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 | 0.001 | 0.000 |
| 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