A Scientometric Analysis of Research on Artificial Intelligence for Social–Emotional Learning From 2004 to 2025

Abstract

This study conducts a comprehensive analysis of research on artificial intelligence (AI) for social–emotional learning (SEL) from 2004 to 2025. Using Bibliometrix and VOSviewer, it examined 465 publications from the Web of Science database to track development trends, research hotspots, and research foci. Findings reveal a notable rise in publications, underscoring increasing scholarly attention to integrating AI in SEL. Key domains identified include machine learning–based emotion recognition, immersive technologies for SEL, and AI chatbots for emotional support. This study also identifies leading authors and publications, offering strategic guidance for future research. Overall, this study provides a comprehensive framework for the integration of AI in SEL, helping educators and policymakers navigate the opportunities and challenges of leveraging AI for SEL.