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| Teaching Reform Practice of "Signals and Systems" from the Perspective of AI Collaboration |
| ZHANG Huiying, ZHONG Qipeng**, LIU Jiahui**#br#
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| (School of Artificial Intelligence, Jilin University of Chemical Technology, Jilin 132022, China) |
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Abstract Taking the course Signals and Systems as the target, this study explores the in-depth integration of AI and teaching, and constructs a multi-dimensional, hierarchical, and progressive teaching reform framework driven by AI collaboration. Starting from content reconstruction(AI knowledge graph for visualizing dynamic concepts), model innovation(AI-based situational teaching to materialize classroom instruction), and evaluation systems, it solves the problems of the abstract theories and insufficient innovative capabilities through AI-enabled interdisciplinary task matching. A spiral progressive pathway of "basic theories - practical applications - interdisciplinary expansion" is designed, which provides theoretical support for the cultivation of electronic information talents in the context of emerging engineering education.
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Published: 06 September 2026
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