Bibliometric analysis reveals rising publication trends in AI-driven social-emotional learning, highlighting core roles for emotion recognition, immersive tools, and chatbots.
Key Points
To evaluate the global research landscape, publication trends, and thematic clusters of artificial intelligence applications in social-emotional learning from 2004 to 2025.
Retrieved 465 publications related to artificial intelligence and social-emotional learning indexed in the Web of Science database across a 21-year period.
Conducted scientometric evaluations and co-occurrence mapping using Bibliometrix and VOSviewer software tools.
Observed a substantial upward trajectory in publication volume over time, reflecting accelerating academic interest in AI-enhanced social-emotional interventions.
Identified core thematic domains focused on machine learning algorithms for emotion recognition, immersive technologies, and conversational AI chatbots for affective support.
Characterized leading contributor networks, landmark articles, and strategic gaps to inform educational implementation and policy design.