From Theory to Practice: Emotion Regulation in Language Learning via AI

Abstract

The integration of AI-assisted emotion recognition and regulation into language education offers new possibilities for enhancing second language (L2) teaching and learning experiences. This paper examines the role of AI in supporting emotionally intelligent language education by connecting cognitive, emotional, and instructional aspects. Drawing on empirical research from neuroscience, educational psychology, and intelligent tutoring systems, it explores how AI can assist in emotion regulation and improve teaching strategies for both learners and instructors. The findings contribute to the application of emotion perception, teaching responses, and learning regulation mechanisms in language teaching practice.