Work

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

Year: 2025

Type: article

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.

Source: English Language Teaching and Linguistics Studies

DOI: 10.22158/eltls.v7n3p54

Authors: Qiaowen Zou, Zhengcong Liu

Institution: Beijing International Studies University

Language: English

Topic: Artificial Intelligence in Education

Subfield: Information Systems

Field: Computer Science

Domain: Physical Sciences

SDG: Quality education

Open Access status: diamond

OpenAlex ID: W4411128390

FWCI:

Cites:

Cited by:

Related to: 10