Fostering Academic Performance in 5-Year-Olds: The Role of Self-Direction Values, Presented Self-Esteem, and Positive Self-Perception
Bibliographic record
Abstract
Self-direction values, which reflect the need for autonomy, creativity, curiosity, and mastery, potentially hold substantial importance in educational settings. However, limited research exists on how these values contribute to academic performance, particularly in early childhood. This study aims to fill this gap by examining the relationships between kindergarten children’s self-direction values and their academic performance while considering their presented self-esteem and positive self-perception. One hundred and twenty children (59 girls; Mage = 67.45 months, SDage = 6.56 months) participated in this study. Children’s self-direction values and positive self-perception were examined in one-on-one interviews. Teachers reported on the children’s presented self-esteem and academic performance. Research Findings: Presented self-esteem significantly mediated the link between self-direction values and academic performance (path a: p = .007; path b: p < .001). Additionally, positive self-perception significantly moderated the link between self-direction values and their presented self-esteem in the classroom (p = .007). The indirect effects of self-direction values on academic performance through presented self-esteem were significant at the average and high levels of positive self-perception, but not at the low levels. Practice or Policy: The current research provides valuable insights into the role of self-direction values in early education and the interplay between young children’s self-direction values, presented self-esteem, and positive self-perception, thus contributing to developmental and educational theory and practice.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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 source (direct Gemma or distilled Codex), 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".