Explainable machine learning unveils the key role of cooperation ability in school bullying and its gender-differentiated impact on cooperative atmosphere
Yawen Lv, Ziwen Zhou, Jinguo Li, Fang Fang, Hongyu Wang · 2026
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Description
Yawen Lv and colleagues study school bullying and cooperation skills among Chinese adolescents in a 2026 analysis. Data came from an OECD survey of social and emotional skills held in Suzhou in 2019. The team asked which skills best separate bullied students and what shapes a cooperative classroom climate.
Just over seven thousand students aged ten to sixteen took part, and about half reported bullying. Cooperation ability carried the greatest weight in telling bullying status apart. A gradient boosting model predicted classroom cooperation climate best, with school belonging and peer support as leading factors. Patterns differed for boys and girls, which supports gender-aware, targeted school interventions.
Catalog record
| CREATOR | Yawen Lv, Ziwen Zhou, Jinguo Li, Fang Fang, Hongyu Wang |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 42 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |