Positive Psychology in International Student Development: What Makes Chinese Students Successful?
Bibliographic record
Abstract
Most of the current literature on the experiences of Chinese international students tends to adopt a deficit-based approach, focusing on the weaknesses, problems, and challenges Chinese students face while studying overseas. In other words, they tend to focus on struggling Chinese students, “problem” Chinese students, and Chinese students who are failing their overseas studies. Though the intention may be good, these studies may strengthen a negative stereotypical image of Chinese international students that is problem ridden. This study aims to introduce some positive psychology in international student development by focusing on successful Chinese students, their success stories, and what success secrets they can share with future Chinese students studying abroad. With the completion of an undergraduate program adopted as a minimum threshold of student success, this study aims to glean the experiences of successful Chinese students in the United Kingdom and disseminate them as lessons for future students. The study finds that proactiveness in networking and seeking support, open and adaptive attitude toward learning and life, and metacognitive skills in self-management are the most important factors contributing to Chinese students’ success in overseas studies.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.002 | 0.000 |
| 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 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".