AI-SUPPORTED SOCIAL-EMOTIONAL LEARNING FRAMEWORK FOR PREVENTING ANTISOCIAL BEHAVIOR IN DIGITAL SCHOOL ENVIRONMENTS

The rapid integration of artificial intelligence (AI) into educational systems has created new opportunities for improving student well-being and preventing behavioral problems in digitally mediated learning environments. This study proposes an AI-supported Social-Emotional Learning (SEL) framework for preventing antisocial behavior among school students. The research examines the interrelationship between AI-driven educational analytics, social-emotional competence development, digital citizenship education, and behavioral prevention strategies. Particular emphasis is placed on the use of AI technologies for early identification of behavioral risks, continuous monitoring of students' learning engagement, and personalized pedagogical interventions. Simultaneously, the study explores the contribution of SEL competencies—including emotional regulation, empathy, responsible decision-making, relationship skills, and self-awareness—to strengthening students' resilience against aggression, cyberbullying, social exclusion, and other forms of antisocial behavior. Drawing upon contemporary educational theories and international research, the paper develops an integrated pedagogical framework that combines technological innovation with human-centered educational practices. The proposed model emphasizes collaborative participation among teachers, school psychologists, parents, and educational administrators to create supportive, inclusive, and safe learning environments. The findings suggest that combining AI-supported educational technologies with systematic SEL implementation significantly enhances preventive educational practices, promotes students' psychological well-being, and fosters responsible digital citizenship in modern schools.