The Effect of Self-Directedness in Learing on Employment Readiness of Undergraduates in South Korea
Bibliographic record
Abstract
The purpose of this study is to analyze whether self-directedness in learning has positive effects on employment readiness of undergraduates. The subject of this study has little precedent research and we generated a research model. This study shows the following results: First, intrinsic motivation factor of self-directedness in learning has a positive effect on employment readiness directly. Task-solving abilities in self-directedness in learning indirectly have positive effects on employment readiness through the mediating effect of intrinsic motivation. Second, the higher the achievment orientation undergraduates have, the more negatively affected the employment readiness of undergraduates is. It means that higher achievement orientation may encourage them to explore new career paths such as graduate school or youth startup not normal employment of companies. Third, this study has the following significance: We set up and proved the relationship between subordinate variables in self-directedness in learning of undergraduates and subordinate varibles in employment readiness. We proved that the intrinsic motivation of self-directedness in learning is the most important factor to have a positive effect on the employment readiness of undergraduates.
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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 | 0.000 | 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 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".