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Research on the Automation Mechanism of Generative AI Empowering Teaching Design: From Lesson Plan Generation to Teaching Strategy Optimization

Feng Zhou

Abstract


The breakthrough development of generative AI technology has brought an intelligent transformation to the field of education, and
its in-depth application in teaching design is reshaping the traditional teaching preparation process. Focusing on the automation mechanism of
generative AI empowering teaching design, this paper analyzes the operational logic and practical paths of the automation mechanism from
three core dimensions: intelligent lesson plan generation, teaching resource adaptation, and teaching strategy optimization. Combined with the
characteristics of teaching scenarios, the study explores the technical advantages and practical challenges of generative AI, and constructs a
three-stage automated implementation framework of "demand analysis - intelligent generation - human-machine collaborative optimization".
It aims to provide theoretical support and practical reference for improving the efficiency of teaching design and realizing personalized teach
ing, and promote the in-depth integration of generative AI with education and teaching.

Keywords


Generative AI; Teaching design;Automation mechanism; Lesson plan generation; Teaching strategy optimization

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References


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[3] Pan, T., & Qin, R. (2025). Research on generative AI empowering interdisciplinary thematic instructional design for normal university

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[4] Feng,Y. (2025). Research on precise teaching strategies of vocational education empowered by generative artificial intelligence.Journal

of Tianjin College of Commerce, 13(2), 8088, 96.

[5] Wang, D. (2025). Research on application strategies of generative artificial intelligence in higher vocational education reform. Journal

of Yanbian Institute of Education, 39(6), 5256.




DOI: http://dx.doi.org/10.70711/neet.v4i4.9117

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