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Reform and Practice of Digital-Intelligent Embedded Teaching for Theory of Machines and Mechanisms

Author(s)

Fang Fang

Affiliation(s)

School of Marine Equipment and Mechanical Engineering, Jimei University, Xiamen, Fujian, China

Abstract

Addressing persistent challenges in traditional Theory of Machines and Mechanisms instruction, including outdated computational tools, fragmented structural cognition, and the absence of digital-intelligent integration, this study proposes a "Three-Graph Linkage" digital-intelligence embedded teaching reform. A three-dimensional integrated curriculum system encompassing "theoretical foundations, intelligent methods, and integrated applications" is constructed, alongside an innovative digital-intelligence-embedded teaching model and project-driven mechanism. Intelligent technologies are embedded into core modules covering kinematic analysis, mechanism synthesis, and dynamics, while a hierarchical "verification–design–innovation" teaching process is implemented. A four-stage progressive workflow is established, providing an actionable pathway for transforming the course from knowledge transmission to competency cultivation. Comparative analysis between reform and traditional cohorts demonstrates that the proposed model substantially improves students' knowledge mastery and positively fosters practical innovation capabilities, offering a replicable paradigm for the digital transformation of foundational engineering courses.

Keywords

Three-Graph Linkage; Digital-Intelligent Embedded; Multi-Tiered Progression; Project-Driven

References

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