Research on the path of teacher role reconstruction under the application of DeepSeek
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School of Computer Science, Northwestern Polytechnical University, Xi’an 710072, P. R. China.

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G434

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    Abstract:

    With the open-source release of DeepSeek, generative AI has become more accessible, and its powerful data processing and content generation capabilities are reshaping the educational ecosystem. The learning needs and methods of students have changed with the assistance of generative AI tools. Students have developed a certain level of autonomous learning ability, and the traditional teaching role of teachers has been gradually expanded and extended. The application of generative AI not only brings technological transformation to education but also drives a profound shift in educational philosophy. The current transformation of the teachers’ role faces challenges, including insufficient technological literacy, the constraints of traditional educational concepts, and personalized teaching implementation. To address these challenges, this paper explores the path for reconstructing the teachers’ role. First, teachers need to enhance their technological literacy, master the application of generative AI tools, improve their work efficiency, and be able to generate diverse teaching content using generative AI technology. Second, teachers should shift their educational philosophy, focusing on cultivating students’ thinking and innovation abilities, and return to the essence of education—cultivating morality and virtue. Finally, teachers must maintain continuous learning and communication, constantly innovating teaching content and methods.This study of the teacher role reconstruction path and practical strategies aims to help teachers effectively respond to the challenges posed by generative AI, driving updates to educational philosophy and teaching methods. This will lay a solid foundation for the future development of education and promote the holistic growth and innovation capacity of students.

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李青,鲍建烁,黄裕安,杜承烈,尤著宏. DeepSeek应用背景下教师角色重构路径研究[J].高等建筑教育,2026,35(1):10~19

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  • Received:
  • Revised:April 04,2025
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  • Online: March 09,2026
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