Explainable machine learning unveils the key role of cooperation ability in school bullying and its gender-differentiated impact on cooperative atmosphere - Takeaways - MDSpire

Explainable machine learning unveils the key role of cooperation ability in school bullying and its gender-differentiated impact on cooperative atmosphere

  • By

  • Yawen Lv

  • Ziwen Zhou

  • Jinguo Li

  • Fang Fang

  • Hongyu Wang

  • June 4, 2026

  • 0 min

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  • 1

    School bullying significantly impacts adolescents' social-emotional development, with 50.8% of surveyed youths reporting experiences of bullying.

  • 2

    Cooperation Ability is the most important social-emotional skill related to bullying, influencing students' collaborative behaviors and attitudes.

  • 3

    The study utilized a LightGBM model and SHAP analysis to identify key predictors of Cooperation Atmosphere, including school belonging and peer support.

  • 4

    Gender-specific analysis revealed distinct predictive patterns for cooperation-related functioning between male and female students.

  • 5

    Findings suggest targeted interventions focusing on cooperation skills can improve school climate and reduce bullying incidents.

Original Source(s)

Explainable machine learning unveils the key role of cooperation ability in school bullying and its gender-differentiated impact on cooperative atmosphere

  • by Yawen Lv, Ziwen Zhou, Jinguo Li, Fang Fang, Hongyu Wang

  • June 4, 2026

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