Science competition-driven teaching optimization for mining engineering

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Authors: Xuelong Li, Shasha Yan, Shumin Liu, Shangtao Zhou, C. Chen, Xuesheng Liu, Rui Wang
Cited by: 3
References: 37

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 This paper focuses on science and technology competition-driven optimization, identifying key issues: outdated objectives/curricula, weak practical training, and faculty/methodology gaps.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.

Fields of Study & Subjects

Engineering Education and Curriculum Development Mechatronics Education and Applications Problem and Project Based Learning

Publication details

Journal / source
Scientific Reports
Publisher
Springer Science and Business Media LLC
Volume
16
Issue
1
Pages
1759–1759
Publication date
13 January 2026
Language
EN