Application of Artificial Intelligence in the Identification and Management of Students' Behavioral and Emotional Problems

This article was developed with the aim of examining the application of artificial intelligence in the identification and management of students’ behavioral and emotional problems, and it seeks to explain the role of intelligent systems in improving the quality of educational, counseling, and pedagogical support. Students’ behavioral and emotional problems, including anxiety, aggression, withdrawal, decreased motivation, disorderliness, weak self-regulation, and inability to establish healthy communication, can affect their learning, social relationships, and mental well-being. This study employed a descriptive-analytical method based on library studies and credible scholarly articles. The findings indicate that artificial intelligence can play an effective role in the early identification of warning signs, the provision of supportive alerts, the design of personalized interventions, and assistance in the decision-making of teachers, counselors, and school administrators through the analysis of educational, behavioral, and interactional data. However, the application of this technology will be beneficial only when it is accompanied by the protection of students’ privacy, avoidance of labeling, reduction of algorithmic bias, transparency in data analysis, and human oversight. The results of the article indicate that artificial intelligence should not replace human relationships in schools; rather, it should be used as a complementary tool to strengthen educational observation, timely intervention, psychological support, and the quality of managing students’ behavioral and emotional problems.