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.
张慧颖, 仲启鹏, 刘佳慧. AI协同视角下信号与系统课程教学改革实践#br#[J]. 吉林化工学院学报, 2026, 43(6): 14-18.
ZHANG Huiying, ZHONG Qipeng, LIU Jiahui. Teaching Reform Practice of "Signals and Systems" from the Perspective of AI Collaboration. Journal of Jilin Institute of Chemical Technology, 2026, 43(6): 14-18.
