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Science competition-driven teaching optimization for mining engineering
Xuelong Li1,2, Sen Yan1,2, Shumin Liu3,4
1College of Energy and Mining Engineering, Shandong University of Science and Technology, Qingdao, 266590, China.
Abstract:
Under emerging engineering education (3E) initiatives, mining engineering education faces industrial upgrading challenges as traditional models lag in cultivating innovative talent. This paper focuses on science and technology competition-driven optimization, identifying key issues: outdated objectives/curricula, weak practical training, and faculty/methodology gaps. Analyzing competition-education synergies, it proposes strategies: embedding competition elements into courses, developing specialized electives, and creating diverse assessments. Measures include converting competition projects into practical tasks and enhancing university-enterprise practice bases. Empirical evaluation-via student work analysis, academic performance comparison, and faculty adjustments-validates improved teaching quality and student professional competence. This framework offers a robust model for mining engineering education reform.
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