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SHI Qingying, CHEN Feiyang, YE Yujia, FANG Qinyu, LIAO Xiaodan
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DOI:10.17265/2161-623X/2026.03.001
Huzhou University, Zhejiang, China
With the advent of voice-interactive AI systems such as Doubao, AI has shown significant potential for enhancing teaching efficiency in the field of education. This study examines the application of AI in English instructional practice training from three dimensions: functional exploration of AI in supporting instructional practice, the construction of a comprehensive AI-assisted instruction pathway, and an analysis of its effectiveness. Guided by the TAM model, the research team recruited 20 English education majors and conducted four cycles of action research using systematic observations, structured questionnaires, and semi-structured interviews. Based on participants’ feedback on AI-assisted instructional practice training, the research team developed a refined integrated instructional pathway that encompasses the entire instructional practice workflow and verified its effectiveness. This research provides innovative pathways for instructional practice and reflection, empowering a new generation of English education majors to cultivate effective and temporally adaptive educational practices in the AI-enhanced future.
artificial intelligence (AI), Instructional practice training, English education
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