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Publishing Language: Chinese

THE RESTRUCTURING OF EDUCATION'S FUNDAMENTAL LOGIC BY AI (PART Ⅰ): THE SUBVERSIVE TRANSFORMATION OF THE KNOWLEDGE-IMPARTING FUNCTION

Department of Physics, Tsinghua University, Beijing 100084
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Abstract

Against the backdrop of the rapid development of artificial intelligence, this paper points out the historical inevitability of exploring the long-term development trend of education and emphasizes that AI's influence on education is deepening continuously. In the future, AI will become the core leading force in education, and human teachers need to seek a path of symbiosis with AI. Combining Geoffrey Hinton's viewpoints with the national action plan for the in-depth implementation of the "AI Plus" initiative, the paper expounds the inevitability of human society's development of AI and the synchronization between the intellectualization of China's education and the construction of an education power. It corely analyzes AI's impact on the underlying logic of education: driven by their intellectual curiosity, students can complete the learning process from total ignorance to profound understanding through continuous interaction with AI, which will lead to the gradual replacement of education's knowledge-im-parting function by AI, and the core status of ability cultivation will also be weakened in the long run, thus bringing about qualitative changes to many elements of the traditional educational model. As the general introduction to a series of papers, this paper clarifies the logical framework for the analysis of four dimensions, namely Future Teachers, Future Classrooms, Future Schools and Future Learning Centers, and the series will explore these four dimensions in the progressive order from the micro to the macro and from the partial to the whole, laying a theoretical foundation and providing a framework guide for the subsequent four studies.

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Physics and Engineering
Pages 13-16

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Cite this article:
WANG Q. THE RESTRUCTURING OF EDUCATION'S FUNDAMENTAL LOGIC BY AI (PART Ⅰ): THE SUBVERSIVE TRANSFORMATION OF THE KNOWLEDGE-IMPARTING FUNCTION. Physics and Engineering, 2026, 46(5): 13-16. https://doi.org/10.26599/PHYS.2026.9320502

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Received: 19 April 2026
Revised: 20 April 2026
Published: 08 September 2026
© 2026 Physics and Engineering.