Research on the Mechanisms for AI-driven Students’ Social-Emotional Learning

The integration of Artificial Intelligence (AI) into social-emotional learning (SEL) has drawn increasing attention due to its potential to enhance educational support for students' emotional development, though the application pathways, effectiveness, and influencing factors of AI in this context remain underexplored.This study aims to examine AI application approaches-including types and functions of AI, intervention efficacy, and key influencing factorswhile offering theoretical and practical insights for developing AI-driven SEL tools.Through a comprehensive analysis of nearly 20 relevant studies.The findings indicate that AI supports SEL primarily through three pathways: multimodal emotion recognition, adaptive learning systems, and immersive simulation scenarios such as Augmented Reality (AR) and Virtual Reality (VR).Key influencing factors include the accuracy and cultural adaptability of algorithms, accessibility of professional teacher training, involvement of caregivers, and policy support related to ethical and equitable implementation.This study provides a solid theoretical foundation and practical guidance for future research and educational practice in AI-enhanced SEL.