Explainable machine learning unveils the key role of cooperation ability in school bullying and its gender-differentiated impact on cooperative atmosphere - Report - 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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Clinical Report: Explainable Machine Learning in School Bullying Dynamics

Overview

Expand on the machine learning techniques used, specifying any algorithms or methods.

Background

School bullying is a critical public health issue that adversely affects adolescents' social and emotional development. Understanding the interplay between bullying and social-emotional skills is essential for creating effective interventions. This research utilizes data from the OECD's 2019 Study on Social and Emotional Skills to explore these associations in a Chinese adolescent population.

Data Highlights

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Key Findings

  • 50.8% of adolescents reported experiencing bullying.
  • Cooperation Ability was the most predictive social-emotional dimension for bullying status.
  • XGBoost model outperformed others in predicting Cooperation Atmosphere.
  • Key predictors identified include school belonging, competitive climate, and peer support.
  • Gender-specific analysis revealed distinct predictive patterns for males and females.

Clinical Implications

The findings underscore the importance of fostering cooperation skills in school environments to mitigate the effects of bullying. Educators and policymakers should consider gender-specific strategies to enhance school climate and reduce bullying incidents.

Conclusion

This study provides valuable insights into the relationship between bullying and social-emotional skills, emphasizing the need for targeted interventions that address cooperative behaviors among adolescents.

Related Resources & Content

  1. BMC Psychiatry (Springer), 2025 -- The effect of bullying victimization trajectory on internet gaming disorder and the mediating role of impaired resilience
  2. BMC Psychiatry (Springer), 2026 -- Family and school environment as mediators in mental health outcomes among gender-diverse youth
  3. Frontiers in Psychiatry, 2026 -- Development and validation of a machine learning–based risk prediction model for non-suicidal self-injury in adolescents
  4. MMWR, 2023 -- Frequent Social Media Use and Experiences with Bullying Victimization
  5. Cambridge University Press, 2024 -- The effects and costs of an anti-bullying programme KiVa in UK primary schools
  6. npj Digital Medicine — Addressing Mentorship Disparities: The Potential of Large Language Models to Transform Equity in the Medical Workforce
  7. Frequent Social Media Use and Experiences with Bullying Victimization, Persistent Feelings of Sadness or Hopelessness, and Suicide Risk Among High School Students — Youth Risk Behavior Survey, United States, 2023 | MMWR
  8. S0033291724002666jra 4362..4373

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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