A Factor Analysis Study Affecting High School Students' Global Citizenship
Bibliographic record
Abstract
The objective of this study is to develop a sense of global community among young people and to lay the foundation for growth with desirable qualities and capabilities as members of a global civil society. The interpersonal competency was selected to conduct the study. The subjects of this study were high school students in K city located in Gyeonggi-do and analyzed how the gender, academic performance, parents' educational background, conversation time with parents, and participation in international cooperation activities affect global citizenship. Study subjects were a total of 248 high school students. Survey was selected as the study method. Collected questionnaires were subjected to descriptive statistical analysis and correlation analysis using IBM SPSS (Statistical Package for the Social Science) 21 program, Student’s t-test, and one-way analysis of variance (ANOVA). As a result of the analysis, first, it was found that female students had more influence than male students according to gender in global competency, and conversation time with parents was also found to have a significant effect. Second, in terms of self-competence, it was found that students who had experience in international cooperation had more influence than students who did not have experience in international cooperation. Lastly, in interpersonal competency, according to gender, female students were found to have more influence than male students, and conversation time with parents was also found to have a significant effect. Based on the results of this study, it is hoped that in the future, young people will participate in activities that cooperate with the world beyond regional and national identities, thereby providing a framework for recognizing and implementing their attitudes toward responsibility at the global level.
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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 | 0.002 | 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 | 0.001 | 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".