Article: Research on English oral classroom instruction design in teacher-AI collaborative models Journal: International Journal of Reasoning-based Intelligent Systems (IJRIS) 2026 Vol.18 No.13 pp.1 - 11 Abstract: This study systematically explored the integration pathways and practical efficacy of artificial intelligence technology in English oral communication instruction by establishing a dual-subject collaborative teaching model featuring 'teacher-led instruction with AI empowerment'. A three-stage instructional framework encompassing pre-class intelligent diagnostics, in-class tiered training, and post-class personalised feedback was designed and implemented through a 16-week empirical teaching experiment. The study also found the collaborative model most significantly benefited intermediate-level students (40% improvement), while advanced and foundational learners still required enhanced teacher intervention. These findings provide actionable design solutions and data support for reforming English speaking instruction in the intelligent era, confirming the immense potential of teacher-AI collaboration in enhancing teaching efficiency and promoting personalised learning. Inderscience Publishers - linking academia, business and industry through research

Title: Research on English oral classroom instruction design in teacher-AI collaborative models

Authors: Tingyu Luan; Zhefan Wang

Addresses: College of Applied Technology, Dalian Ocean University, Wafangdian, Dalian, 116300, Liaoning, China ' Foreign Studies School, Liaoning University, Shenyang, 110136, Liaoning, China

Abstract: This study systematically explored the integration pathways and practical efficacy of artificial intelligence technology in English oral communication instruction by establishing a dual-subject collaborative teaching model featuring 'teacher-led instruction with AI empowerment'. A three-stage instructional framework encompassing pre-class intelligent diagnostics, in-class tiered training, and post-class personalised feedback was designed and implemented through a 16-week empirical teaching experiment. The study also found the collaborative model most significantly benefited intermediate-level students (40% improvement), while advanced and foundational learners still required enhanced teacher intervention. These findings provide actionable design solutions and data support for reforming English speaking instruction in the intelligent era, confirming the immense potential of teacher-AI collaboration in enhancing teaching efficiency and promoting personalised learning.

Keywords: AI collaborative mode; English speaking; classroom instruction; deep learning.

DOI: 10.1504/IJRIS.2026.154048

International Journal of Reasoning-based Intelligent Systems, 2026 Vol.18 No.13, pp.1 - 11

Received: 26 Dec 2025
Accepted: 08 Jan 2026
Published online: 10 Jun 2026 *

Title: Research on English oral classroom instruction design in teacher-AI collaborative models

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