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Cognitive Application of AI-driven Double Helix Teaching Model in Business English Reading Course

Lv Ning, Ji Jiahui, Cui Weilan

 Qingdao City University

Abstract:

With the rapid development of technology, artificial intelligence has become an important force in reshaping the educational ecology. Based on the practice of artificial intelligence empowerment education, this paper focuses on the pain points and model innovation issues of emphasizing language over business in the business English reading course. By building a double helix teaching model of “cognitive construction-applied practice-dynamic circulation”, it strengthens AI-driven accurate diagnosis and scene simulation capabilities, and transforms the curriculum from the traditional linear process of “new words-syntax-translation” to a closed-loop ecosystem of coordinated development of language literacy and business capabilities, thereby promoting the deep integration of technology and teaching, improving students cross-cultural business communication literacy, and providing a practical path for the implementation of the “Outline of the Plan for Building a Powerful Education Nation”.


Key Words:

AI; double helix; business English reading

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