Effect of Creative Self-Efficacy on Creativity among College Students: The Moderating Effect of College Innovation Climate
Bibliographic record
Abstract
Creativity is one of the five core competencies in the twenty-first century, and increasing attention has been paid to creativity development among students worldwide. Higher education institutions play a vital role in fostering creativity among university students. The present study examines the effect of creative self-efficacy and the college innovation climate on creativity of university students through the lens of social cognitive theory. A total of 573 questionnaires were collected from students at five universities in Hebei, China; the resulting data were analyzed through hierarchical regression analysis. The results confirmed that creative self-efficacy has a significant effect and that college innovation climate has a significant positive effect on university students’ creativity. Furthermore, the study revealed the moderating effect of the college innovation climate on the relation between creative self-efficacy and creativity. These findings offer theoretical and practical insights for enhancing creativity among university students.
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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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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 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".