Students’ Self-Efficacy and Self-Rating Scores as Predictors of Their Academic Achievement
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
This study set out to establish the predictive power of students’ self-efficacy and self-rating scores on undergraduate students’ academic achievement in a Psychology course (psychology of Learning). The correlational research design was adopted and all the 133 sophomores in the Continuing Education Programme (CEP) of the Nnamdi Azikiwe University, Awka, Nigeria who registered the course were sampled for the study. The instruments used were a domain-specific self-efficacy questionnaire and a semester examination developed by the researchers. The regression analysis showed that self-efficacy and self-rating did not combine to predict students’ achievement; however, considering their relative contribution, students’ self-rating scores predicted their academic performance more than their self-efficacy. Furthermore, students’ self-efficacy and self-rating scores were related, but only students’ self-rating scores were related to their academic achievement. It was concluded that large self-efficacy is not enough to counter limited knowledge and competence. DOI: 10.5901/jesr.2014.v4n3p223
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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 | 0.003 | 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 | 0.001 |
| 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