The Capitalization of Personal Self-Efficacy: Yields for Practices and Research Development
Bibliographic record
Abstract
Quality learning in achievement contexts is an important feat for enhancement and development. In a similar vein, in the contexts of secondary schooling, academic engagement is a major element for scholarly consideration (e.g., “I really enjoy coming to school, and taking part in these social activities”). In the area of educational psychology, there have been various cognitive (e.g., achievement goal orientations) and noncognitive (e.g., self-concept) theories that note and explain individuals’ learning, academic engagement, motives, etc. Bandura’s (1986) social cognitive theory, especially the tenets of personal self-efficacy (Bandura, 1977, 1997) have been researched and used to account and predict individuals’ cognition and behaviors in educational and non-educational settings. This theoretical review then, explores a few identified issues related to quality learning – for example, one’s sense of identity and how this psychosocial facet features in the teaching and learning processes. We also scope, in the latter section of this article, the potency of personal self-efficacy in the contexts of quality learning and school engagement, and how this theoretical orientation, in totality, may result in effective practices and continuing research development.
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How this classification was reachedexpand
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) | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".