Revolutionising Classroom Dynamics: The Role of AI Emotion Recognition in Enhancing English Teachers' Feedback, Boosting Job Satisfaction and Transforming Learning Environments
Saved in:
| Title: | Revolutionising Classroom Dynamics: The Role of AI Emotion Recognition in Enhancing English Teachers' Feedback, Boosting Job Satisfaction and Transforming Learning Environments |
|---|---|
| Language: | English |
| Authors: | Xiaoxiao Fu, Zheng Wu (ORCID |
| Source: | European Journal of Education. 2026 61(1). |
| Availability: | Wiley. Available from: John Wiley & Sons, Inc. 111 River Street, Hoboken, NJ 07030. Tel: 800-835-6770; e-mail: cs-journals@wiley.com; Web site: https://www.wiley.com/en-us |
| Peer Reviewed: | Y |
| Page Count: | 15 |
| Publication Date: | 2026 |
| Document Type: | Journal Articles Reports - Research |
| Descriptors: | Artificial Intelligence, Computer Uses in Education, Psychological Patterns, Language Teachers, English (Second Language), Job Satisfaction, Educational Environment, Feedback (Response), Recognition (Psychology) |
| DOI: | 10.1111/ejed.70399 |
| ISSN: | 0141-8211 1465-3435 |
| Abstract: | Guided by the framework of socio-emotional learning and technology-enhanced pedagogy, this study examines the role of AI-based emotion recognition in shaping educational outcomes, including teacher feedback quality, classroom dynamics and teacher job satisfaction. Findings indicate that AI-based emotion recognition significantly enhances classroom interactions and feedback quality, which in turn positively influences teacher job satisfaction. The study highlights the interconnectedness of emotional, pedagogical, and technological factors, offering novel insights into how AI tools can foster emotionally responsive and effective teaching environments. By emphasising the theoretical and practical implications, this research underscores innovative pathways for integrating emotionally intelligent AI in education, while encouraging consideration of ethical and contextual factors. |
| Abstractor: | As Provided |
| Entry Date: | 2026 |
| Accession Number: | EJ1497898 |
| Database: | ERIC |
Be the first to leave a comment!
