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Revolutionising Classroom Dynamics: The Role of AI Emotion Recognition in Enhancing English Teachers' Feedback, Boosting Job Satisfaction and Transforming Learning Environments

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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 0009-0004-1144-3947)
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
FullText Text:
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  Data: Revolutionising Classroom Dynamics: The Role of AI Emotion Recognition in Enhancing English Teachers' Feedback, Boosting Job Satisfaction and Transforming Learning Environments
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  Data: <searchLink fieldCode="AR" term="%22Xiaoxiao+Fu%22">Xiaoxiao Fu</searchLink><br /><searchLink fieldCode="AR" term="%22Zheng+Wu%22">Zheng Wu</searchLink> (ORCID <externalLink term="https://orcid.org/0009-0004-1144-3947">0009-0004-1144-3947</externalLink>)
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  Data: <searchLink fieldCode="SO" term="%22European+Journal+of+Education%22"><i>European Journal of Education</i></searchLink>. 2026 61(1).
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  Data: 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
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  Data: 15
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  Data: Journal Articles<br />Reports - Research
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  Data: <searchLink fieldCode="DE" term="%22Artificial+Intelligence%22">Artificial Intelligence</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+Uses+in+Education%22">Computer Uses in Education</searchLink><br /><searchLink fieldCode="DE" term="%22Psychological+Patterns%22">Psychological Patterns</searchLink><br /><searchLink fieldCode="DE" term="%22Language+Teachers%22">Language Teachers</searchLink><br /><searchLink fieldCode="DE" term="%22English+%28Second+Language%29%22">English (Second Language)</searchLink><br /><searchLink fieldCode="DE" term="%22Job+Satisfaction%22">Job Satisfaction</searchLink><br /><searchLink fieldCode="DE" term="%22Educational+Environment%22">Educational Environment</searchLink><br /><searchLink fieldCode="DE" term="%22Feedback+%28Response%29%22">Feedback (Response)</searchLink><br /><searchLink fieldCode="DE" term="%22Recognition+%28Psychology%29%22">Recognition (Psychology)</searchLink>
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  Data: 10.1111/ejed.70399
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  Data: 0141-8211<br />1465-3435
– Name: Abstract
  Label: Abstract
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  Data: 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.
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  Data: 2026
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  Data: EJ1497898
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        Type: general
      – SubjectFull: Computer Uses in Education
        Type: general
      – SubjectFull: Psychological Patterns
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      – SubjectFull: Language Teachers
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      – SubjectFull: English (Second Language)
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      – SubjectFull: Job Satisfaction
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      – SubjectFull: Educational Environment
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      – SubjectFull: Feedback (Response)
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      – SubjectFull: Recognition (Psychology)
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