Article: Artificial intelligence-based emotion recognition application of English teaching in smart learning Journal: International Journal of Continuing Engineering Education and Life-Long Learning (IJCEELL) 2025 Vol.35 No.8 pp.113 - 128 Abstract: With the rise of the intelligent era, innovative learning has gained increasing attention, particularly regarding students' needs. While English teaching has moved away from the 'dumb English' approach, focusing more on integrating listening, speaking, reading, and writing, many still view English as a subject rather than a language, affecting teaching effectiveness. Due to spatial and temporal limitations, emotional interaction between teachers and students is lacking. This study explores an AI-supported emotion recognition teaching model, integrating relevance, originality, and impact (ROI) theory with innovative English education. An echo state network was constructed, and the algorithm was optimised. Emotion classification and speech signal preprocessing were implemented. Experimental results show improvements in students' performance in vocabulary (3.8%), listening (4.5%), reading (5.9%), and speaking (7.1%) compared to traditional methods, enhancing smart learning quality and classroom interaction. Inderscience Publishers - linking academia, business and industry through research

Title: Artificial intelligence-based emotion recognition application of English teaching in smart learning

Authors: Cheng Huang

Addresses: Department of Foreign Language Teaching, Hainan Vocational University of Science and Technology, Haikou 571100, Hainan, China

Abstract: With the rise of the intelligent era, innovative learning has gained increasing attention, particularly regarding students' needs. While English teaching has moved away from the 'dumb English' approach, focusing more on integrating listening, speaking, reading, and writing, many still view English as a subject rather than a language, affecting teaching effectiveness. Due to spatial and temporal limitations, emotional interaction between teachers and students is lacking. This study explores an AI-supported emotion recognition teaching model, integrating relevance, originality, and impact (ROI) theory with innovative English education. An echo state network was constructed, and the algorithm was optimised. Emotion classification and speech signal preprocessing were implemented. Experimental results show improvements in students' performance in vocabulary (3.8%), listening (4.5%), reading (5.9%), and speaking (7.1%) compared to traditional methods, enhancing smart learning quality and classroom interaction.

Keywords: artificial intelligence; smart learning; English teaching; emotion recognition.

DOI: 10.1504/IJCEELL.2025.149043

International Journal of Continuing Engineering Education and Life-Long Learning, 2025 Vol.35 No.8, pp.113 - 128

Received: 18 Jan 2025
Accepted: 27 Jun 2025
Published online: 10 Oct 2025 *

Title: Artificial intelligence-based emotion recognition application of English teaching in smart learning

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